Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a data scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise. Responsibilities: <ul> <li>Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions </li></ul> <ul><li>Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques </li><li>Use R and/or Python to build, maintain, and support loss models across different lines of business </li><li>Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives </li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources </li><li>Participate in the creation and deployment of long-term tools to continually evolve the business </li><li>Contribute to the successful implementation of strategies to achieve targeted business objectives </li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function </li></ul>Qualifications: <ul> <li>5+ years of relevant experience recommended </li><li>Preference for at least one of: <ul><li>Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field </li><li>Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA) </li></ul> </li><li>Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R </li><li>Experience in SQL and navigating databases to extract relevant attributes </li><li>Experience in Unix, Git, Shiny and R Markdown is a plus </li><li>Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation </li><li>Able to communicate effectively with both technical and non-technical audiences </li><li>High level of independence, but is also a team player that demonstrates a high level of ownership </li><li>Results driven with commitment to meeting deadlines </li></ul> Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $87,120 - $130,680 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a data scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise. Responsibilities: <ul> <li>Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions </li></ul> <ul><li>Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques </li><li>Use R and/or Python to build, maintain, and support loss models across different lines of business </li><li>Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives </li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources </li><li>Participate in the creation and deployment of long-term tools to continually evolve the business </li><li>Contribute to the successful implementation of strategies to achieve targeted business objectives </li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function </li></ul>Qualifications: <ul> <li>5+ years of relevant experience recommended </li><li>Preference for at least one of: <ul><li>Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field </li><li>Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA) </li></ul> </li><li>Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R </li><li>Experience in SQL and navigating databases to extract relevant attributes </li><li>Experience in Unix, Git, Shiny and R Markdown is a plus </li><li>Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation </li><li>Able to communicate effectively with both technical and non-technical audiences </li><li>High level of independence, but is also a team player that demonstrates a high level of ownership </li><li>Results driven with commitment to meeting deadlines </li></ul> Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Introduction

Do you have three years of experience in demography, statistical analysis, and electoral systems? Are you ready to direct and conduct the most complex and specialized research investigations and statistical analyses? Are data-driven studies and projects concerning elections right up your alley?

The State of Connecticut, Secretary of the State (SOTS) is currently seeking flexible and dynamic individuals eager to contribute their experience within the Legislation and Election Administration Division (LEAD) as an  Elections Data Scientist . Join our team and embark on a rewarding career that offers growth, superlative benefits, and a culture that encourages work/life balance.

WHAT WE CAN OFFER YOU

Work for a Forbes top company -  'Forbes': State of Connecticut Ranked One of the Best Employers of 2023.
Comprehensive health and dental insurance, providing you with peace of mind and access to quality healthcare.
Robust pension plan and supplemental retirement offerings to secure your financial future.
Generous paid time off, including vacation days, sick leave, personal days, and 13 holidays per calendar year.
We are an eligible Public Service Loan Forgiveness employer, which means you may be eligible to have qualifying student loans forgiven after 10 years of service.
A culture that recognizes the importance of work/life balance and offers alternate work schedules and telecommuting options.
Opportunities to invest in your professional growth and development with training programs, tuition reimbursement, and opportunities for advancement within the State of Connecticut.
Connecticut is a strong community with a lot to offer in entertainment, food and shopping, recreation in our beautiful state parks and forests, diverse culture, and rich history. Learn more about all Connecticut has to offer.
POSITION HIGHLIGHTS    Full-Time, 40 hours per week
Monday through Friday
Core hours 8:00 a.m. - 4:30 p.m.
Location: Hartford, CT
Hybrid (office/telework) may be available
APPLICANTS MUST POSSESS ALL OF THE FOLLOWING TO QUALIFY    An advanced degree in a field of study with coursework in research methodology and statistics, such as public administration, statistics, political science, or sociology;
Three (3) years of experience in demography, statistical analysis, and electoral systems using programming software for data visualization.
THIS JOB IS FOR YOU IF    You possess strong technical database expertise and attention to detail necessary to stand up and maintain statewide databases.
Your value providing prompt quality service and improving access to information.
You have a passion for promoting participation in the democratic process by providing a wide range of services for the people and businesses of Connecticut.
You want to do work that matters and build a better Connecticut with the Office of the Secretary of the State.
DISCOVER THE OPPORTUNITY TO    Direct the operations of a public statewide information database to investigate if current state and municipal election laws and practices meet the Connecticut Voting Rights Act's (CTVRA) provisions;
Conduct investigations of potential infringements of voting rights;
Work with and manage the state's finest talent in the Elections Division;
Work with and report to Executives within the Office of the Secretary of the State;
Work with Information Technology professionals;
Collect, maintain, and analyze data and information;
Respond to inquiries from elections officials and the public;
Manage the state's centralized voter registration system (CVRS) and the election night reporting system;
Impact and improve our state and the elections process.
ABOUT US

Through the dedication of knowledgeable staff and advanced technology, the Office of the Secretary of the State works as a team to provide a wide range of services for the people and businesses of Connecticut. We are a repository of records for the State and provide important information and resources regarding business and commercial filings, elections, and authentication as prescribed by the constitution, and federal and state laws. We seek to bolster business development opportunities, and foster a more inclusive political process by educating, informing and engaging communities in youth and civic preparation.

The  Legislation and Election Administration Division (LEAD)  administers, interprets and implements all state and federal laws pertaining to elections, primaries, nominating procedures, and the acquisition and exercise of voting rights. The Division encourages and monitors the implementation of the National Voter Registration Act and other voter registration efforts in Connecticut. In addition, the division is the official keeper of all acts, orders, grants and resolutions of the General Assembly, receives and maintains legislation, regulations and a wide range of other public documents as required by statute, and administers Connecticut's notary public program.

Selection Plan

For assistance in applying, please visit our 'Applicant Tips on How to Apply' page

APPLYING FOR THE POSITION    For current state employees, salary calculations are not necessarily comparable from one of the three branches of state government (i.e. Executive, Judicial or Legislative) to the other.
In order to be considered for this job opening, you must meet the Minimum Qualifications listed on the job opening. The minimum experience and training requirements must be met by the close date of the job opening, unless otherwise specified. You must specify your qualifications on your application.
Ensure that your application is complete before submitting it. To comply with Public Act 21-69, the State of Connecticut no longer requests resumes during the initial application process. Once your application is submitted into the JobAps system, you cannot make revisions.
In order to receive educational credits toward qualification for this job posting, the institution must be accredited. For institutions located outside of the U.S., you must provide documentation from a recognized USA accrediting service specializing in determining foreign education equivalencies to the recruiter listed on this job posting.
All application materials must be received by the recruiting agency by the specified deadline. Late applications will not be considered. Candidates may request a rare and documented exception for events that incapacitate them during the entire duration of the job posting period by providing a legally-recognized justification to accommodate such an exception. Requests may be made to emily.kennedy@ct.gov.
WHAT TO EXPECT AFTER APPLYING    Applicants will receive correspondence via email, and are also encouraged to monitor their Personal Status Board daily for status updates, notices, and tasks required in the recruitment process.
Some postings may require additional referral questions (RQs). You will receive an email with these questions after the posting's closing date. Check your email and Personal Status Board for notifications, including your spam or junk folders.
You may be required to submit additional documentation supporting your qualifications at any point during the recruitment process. The documentation may include a cover letter, resume, transcripts, diplomas, performance reviews, attendance records, supervisory references, or licensure, at the discretion of the hiring agency.
The immediate vacancy is listed above, but your application may be considered for future vacancies in this job class.
Interviews will be limited to candidates whose experience and training most closely meet the requirements of the position.
Candidates offered a position with the State of Connecticut are bound by the State Code of Ethics for Public Officials and State Employees, available at www.ct.gov/ethics.
CONNECT WITH US    Due to the high volume of applications, we cannot confirm receipt or status during the recruitment process. Updates will be available through your JobAps portal account.
If you have any questions about this recruitment, please contact Emily Kennedy at emily.kennedy@ct.gov.
Follow the State of Connecticut on LinkedIn to stay updated on our career opportunities and news.
PURPOSE OF JOB CLASS (NATURE OF WORK)

In the Office of the Secretary of the State this class is accountable for directing and conducting the most complex and specialized research investigations/evaluations, statistical analyses, and data-driven studies and projects concerning elections.

EXAMPLES OF DUTIES    Directs the operations of a public statewide information database to investigate if current state and municipal election laws and practices meet the Connecticut Voting Rights Act's (CTVRA) provisions and conducts investigations of potential infringements of voting rights;
Collects, maintains, and analyzes CTVRA-related data and information such as U.S. Census estimates, voter registry lists, geocoded data, and shapefiles;
Updates, maintains, and publishes a list of municipalities subject to the CTVRA's language-assistance requirements;
Responds to inquiries from election officials and the public and manages the state's centralized voter registration system (CVRS)and the election night reporting system;
Performs complex statistical analyses using predictive modeling, forecasting, multiple regression, trend analysis, log-linear analysis, factor analysis, multi-variate analysis, and parametric and non-parametric statistics;
Selects, designs, and applies statistical techniques, computerized models, and research principles most suitable for the project at hand and works with staff to carry out studies;
Analyzes findings and drafts reports, manuals, and other written products for publication;
Provides training and development to team members and/or other staff;
Plans, selects, and evaluates technologies related to data retrieval and analysis;
Performs related duties as required.
KNOWLEDGE, SKILL AND ABILITY    Considerable knowledge of    database management principles, processes, technologies, and tools;
database technologies, architecture, and data security;
research design and using quantitative and qualitative methodologies to best approach the question at hand;
state and federal statutes, regulations, and guidelines related to voting rights and election administration;

Knowledge of data wrangling, formatting, and cleaning across multiple data sources and formats;
Considerable    interpersonal skills;
oral and written communication skills;
skill in statistical analysis and visualization, including SQL, Python, Tableau, SAS, SPSS, or other programming software;

Ability to    conduct longitudinal research, including by performing trend analyses;
analyze and evaluate data using multiple regression, log-linear analyses, factor analyses, and multi-variate analyses;
use GIS technology to create layered maps of data points;
write technical reports;
maintain a high level of objectivity in a nonpartisan manner with respect to the division's work, election officials (regardless of party affiliation), and election issues generally;
coordinate and collaborate effectively with department, state, community, and agency constituent groups;
accurately perform complex analyses;

Supervisory ability.
MINIMUM QUALIFICATIONS - GENERAL EXPERIENCE

An advanced degree in a field of study with coursework in research methodology and statistics such as public administration, statistics, political science, or sociology; AND three (3) years of experience in demography, statistical analysis, and electoral systems using programming software for data visualization.

PREFERRED QUALIFICATIONS    Doctorate in a field of study with coursework in research methodology and statistics such as public administration, statistics, political science, or sociology.
Experience analyzing and drafting written products for publication.
Experience collecting, maintaining, and analyzing data related to the federal or any state Voting Rights Act.
Experience collecting information such as U.S. Census estimates, voter registry lists, geocoded data, and shapefiles.
Experience updating and publishing a list of municipalities subject to the language-assistance requirements of the federal or any state Voting Rights Act.
Experience responding to inquiries from election officials and the public.
Experience managing any state's centralized voter registration system.
Experience managing any state's election night reporting system.
Experience selecting, designing, and applying statistical techniques, computerized models, and research principles most suitable for the project at hand.
Experience managing and working with staff to carry out studies.
Experience in database management principles, processes, technologies, and tools.
Experience with data wrangling, formatting, and cleaning across multiple data sources and formats.

Conclusion

AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER

The State of Connecticut is an equal opportunity/affirmative action employer and strongly encourages the applications of women, minorities, veterans, and persons with disabilities.

ACKNOWLEDGEMENT

As defined by Sec. 5-196 of the Connecticut General Statutes, a job class is a position or group of positions that share general characteristics and are categorized under a single title for administrative purposes. As such, a job class is not meant to be all-inclusive of every task and/or responsibility

Introduction Do you have three years of experience in demography, statistical analysis, and electoral systems? Are you ready to direct and conduct the most complex and specialized research investigations and statistical analyses? Are data-driven studies and projects concerning elections right up your alley? The State of Connecticut, Secretary of the State (SOTS) is currently seeking flexible and dynamic individuals eager to contribute their experience within the Legislation and Election Administration Division (LEAD) as an Elections Data Scientist . Join our team and embark on a rewarding career that offers growth, superlative benefits, and a culture that encourages work/life balance. WHAT WE CAN OFFER YOU Work for a Forbes top company - 'Forbes': State of Connecticut Ranked One of the Best Employers of 2023.
Comprehensive health and dental insurance, providing you with peace of mind and access to quality healthcare.
Robust pension plan and supplemental retirement offerings to secure your financial future.
Generous paid time off, including vacation days, sick leave, personal days, and 13 holidays per calendar year.
We are an eligible Public Service Loan Forgiveness employer, which means you may be eligible to have qualifying student loans forgiven after 10 years of service.
A culture that recognizes the importance of work/life balance and offers alternate work schedules and telecommuting options.
Opportunities to invest in your professional growth and development with training programs, tuition reimbursement, and opportunities for advancement within the State of Connecticut.
Connecticut is a strong community with a lot to offer in entertainment, food and shopping, recreation in our beautiful state parks and forests, diverse culture, and rich history. Learn more about all Connecticut has to offer.
POSITION HIGHLIGHTS Full-Time, 40 hours per week
Monday through Friday
Core hours 8:00 a.m. - 4:30 p.m.
Location: Hartford, CT
Hybrid (office/telework) may be available
APPLICANTS MUST POSSESS ALL OF THE FOLLOWING TO QUALIFY An advanced degree in a field of study with coursework in research methodology and statistics, such as public administration, statistics, political science, or sociology;
Three (3) years of experience in demography, statistical analysis, and electoral systems using programming software for data visualization.
THIS JOB IS FOR YOU IF You possess strong technical database expertise and attention to detail necessary to stand up and maintain statewide databases.
Your value providing prompt quality service and improving access to information.
You have a passion for promoting participation in the democratic process by providing a wide range of services for the people and businesses of Connecticut.
You want to do work that matters and build a better Connecticut with the Office of the Secretary of the State.
DISCOVER THE OPPORTUNITY TO Direct the operations of a public statewide information database to investigate if current state and municipal election laws and practices meet the Connecticut Voting Rights Act's (CTVRA) provisions;
Conduct investigations of potential infringements of voting rights;
Work with and manage the state's finest talent in the Elections Division;
Work with and report to Executives within the Office of the Secretary of the State;
Work with Information Technology professionals;
Collect, maintain, and analyze data and information;
Respond to inquiries from elections officials and the public;
Manage the state's centralized voter registration system (CVRS) and the election night reporting system;
Impact and improve our state and the elections process.
ABOUT US Through the dedication of knowledgeable staff and advanced technology, the Office of the Secretary of the State works as a team to provide a wide range of services for the people and businesses of Connecticut. We are a repository of records for the State and provide important information and resources regarding business and commercial filings, elections, and authentication as prescribed by the constitution, and federal and state laws. We seek to bolster business development opportunities, and foster a more inclusive political process by educating, informing and engaging communities in youth and civic preparation. The Legislation and Election Administration Division (LEAD) administers, interprets and implements all state and federal laws pertaining to elections, primaries, nominating procedures, and the acquisition and exercise of voting rights. The Division encourages and monitors the implementation of the National Voter Registration Act and other voter registration efforts in Connecticut. In addition, the division is the official keeper of all acts, orders, grants and resolutions of the General Assembly, receives and maintains legislation, regulations and a wide range of other public documents as required by statute, and administers Connecticut's notary public program. Selection Plan For assistance in applying, please visit our 'Applicant Tips on How to Apply' page APPLYING FOR THE POSITION For current state employees, salary calculations are not necessarily comparable from one of the three branches of state government (i.e. Executive, Judicial or Legislative) to the other.
In order to be considered for this job opening, you must meet the Minimum Qualifications listed on the job opening. The minimum experience and training requirements must be met by the close date of the job opening, unless otherwise specified. You must specify your qualifications on your application.
Ensure that your application is complete before submitting it. To comply with Public Act 21-69, the State of Connecticut no longer requests resumes during the initial application process. Once your application is submitted into the JobAps system, you cannot make revisions.
In order to receive educational credits toward qualification for this job posting, the institution must be accredited. For institutions located outside of the U.S., you must provide documentation from a recognized USA accrediting service specializing in determining foreign education equivalencies to the recruiter listed on this job posting.
All application materials must be received by the recruiting agency by the specified deadline. Late applications will not be considered. Candidates may request a rare and documented exception for events that incapacitate them during the entire duration of the job posting period by providing a legally-recognized justification to accommodate such an exception. Requests may be made to emily.kennedy@ct.gov.
WHAT TO EXPECT AFTER APPLYING Applicants will receive correspondence via email, and are also encouraged to monitor their Personal Status Board daily for status updates, notices, and tasks required in the recruitment process.
Some postings may require additional referral questions (RQs). You will receive an email with these questions after the posting's closing date. Check your email and Personal Status Board for notifications, including your spam or junk folders.
You may be required to submit additional documentation supporting your qualifications at any point during the recruitment process. The documentation may include a cover letter, resume, transcripts, diplomas, performance reviews, attendance records, supervisory references, or licensure, at the discretion of the hiring agency.
The immediate vacancy is listed above, but your application may be considered for future vacancies in this job class.
Interviews will be limited to candidates whose experience and training most closely meet the requirements of the position.
Candidates offered a position with the State of Connecticut are bound by the State Code of Ethics for Public Officials and State Employees, available at www.ct.gov/ethics.
CONNECT WITH US Due to the high volume of applications, we cannot confirm receipt or status during the recruitment process. Updates will be available through your JobAps portal account.
If you have any questions about this recruitment, please contact Emily Kennedy at emily.kennedy@ct.gov.
Follow the State of Connecticut on LinkedIn to stay updated on our career opportunities and news.
PURPOSE OF JOB CLASS (NATURE OF WORK) In the Office of the Secretary of the State this class is accountable for directing and conducting the most complex and specialized research investigations/evaluations, statistical analyses, and data-driven studies and projects concerning elections. EXAMPLES OF DUTIES Directs the operations of a public statewide information database to investigate if current state and municipal election laws and practices meet the Connecticut Voting Rights Act's (CTVRA) provisions and conducts investigations of potential infringements of voting rights;
Collects, maintains, and analyzes CTVRA-related data and information such as U.S. Census estimates, voter registry lists, geocoded data, and shapefiles;
Updates, maintains, and publishes a list of municipalities subject to the CTVRA's language-assistance requirements;
Responds to inquiries from election officials and the public and manages the state's centralized voter registration system (CVRS)and the election night reporting system;
Performs complex statistical analyses using predictive modeling, forecasting, multiple regression, trend analysis, log-linear analysis, factor analysis, multi-variate analysis, and parametric and non-parametric statistics;
Selects, designs, and applies statistical techniques, computerized models, and research principles most suitable for the project at hand and works with staff to carry out studies;
Analyzes findings and drafts reports, manuals, and other written products for publication;
Provides training and development to team members and/or other staff;
Plans, selects, and evaluates technologies related to data retrieval and analysis;
Performs related duties as required.
KNOWLEDGE, SKILL AND ABILITY Considerable knowledge of database management principles, processes, technologies, and tools;
database technologies, architecture, and data security;
research design and using quantitative and qualitative methodologies to best approach the question at hand;
state and federal statutes, regulations, and guidelines related to voting rights and election administration; Knowledge of data wrangling, formatting, and cleaning across multiple data sources and formats;
Considerable interpersonal skills;
oral and written communication skills;
skill in statistical analysis and visualization, including SQL, Python, Tableau, SAS, SPSS, or other programming software; Ability to conduct longitudinal research, including by performing trend analyses;
analyze and evaluate data using multiple regression, log-linear analyses, factor analyses, and multi-variate analyses;
use GIS technology to create layered maps of data points;
write technical reports;
maintain a high level of objectivity in a nonpartisan manner with respect to the division's work, election officials (regardless of party affiliation), and election issues generally;
coordinate and collaborate effectively with department, state, community, and agency constituent groups;
accurately perform complex analyses; Supervisory ability.
MINIMUM QUALIFICATIONS - GENERAL EXPERIENCE An advanced degree in a field of study with coursework in research methodology and statistics such as public administration, statistics, political science, or sociology; AND three (3) years of experience in demography, statistical analysis, and electoral systems using programming software for data visualization. PREFERRED QUALIFICATIONS Doctorate in a field of study with coursework in research methodology and statistics such as public administration, statistics, political science, or sociology.
Experience analyzing and drafting written products for publication.
Experience collecting, maintaining, and analyzing data related to the federal or any state Voting Rights Act.
Experience collecting information such as U.S. Census estimates, voter registry lists, geocoded data, and shapefiles.
Experience updating and publishing a list of municipalities subject to the language-assistance requirements of the federal or any state Voting Rights Act.
Experience responding to inquiries from election officials and the public.
Experience managing any state's centralized voter registration system.
Experience managing any state's election night reporting system.
Experience selecting, designing, and applying statistical techniques, computerized models, and research principles most suitable for the project at hand.
Experience managing and working with staff to carry out studies.
Experience in database management principles, processes, technologies, and tools.
Experience with data wrangling, formatting, and cleaning across multiple data sources and formats. Conclusion AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER The State of Connecticut is an equal opportunity/affirmative action employer and strongly encourages the applications of women, minorities, veterans, and persons with disabilities. ACKNOWLEDGEMENT As defined by Sec. 5-196 of the Connecticut General Statutes, a job class is a position or group of positions that share general characteristics and are categorized under a single title for administrative purposes. As such, a job class is not meant to be all-inclusive of every task and/or responsibility

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. YOUR ROLE This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position. BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems. EXPERIENCE: At least 4 years experience in a hands-on, in-the-weeds data science position. You will develop deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. You will play a pivotal role in the growth of our data science team. You will be an instrumental resource as we build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategically planning Machine Learning initiatives with the Product, Engineering, Performance, and Business Intelligence teams, analyzing potential impact, and prioritizing those projects. SUCCESS LOOKS LIKE <ul> <li>Innovate, create, and design ML solutions to various business problems such as: </li><li>Design, implement, and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB tests. </li><li>Utilizing Large Language Models in content personalization across various verticals. </li><li>Recommendation systems to serve ads, offers, questions, etc. </li><li>Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring. </li><li>Provide data science support at different project stages, including implementing ML solutions by collaborating with Data Engineers and MLOps. </li><li>Being hands-on and in-the-weeds in the data, coding part of the solution implementation. </li></ul>WHAT YOU NEED TO SUCCEED <ul> <li>4+ years of related work experience in Data Science & Machine learning. </li><li>2+ years of experience in the Marketing/Advertising Industry. </li><li>Solid background in Machine Learning and Statistics. </li><li>Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems. </li><li>Proficiency in SQL and Python, as well as working with data science tools (e.g., git, Kubernetes, Docker, etc.). </li><li>Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals. </li><li>Experience creating ML solutions within cloud services (AWS/GCP). </li><li>Experience with ML model development lifecycle. </li><li>Experience with data visualization (preferably Looker). </li><li>Experience managing a team of data scientists and machine learning researchers (including career development). </li><li>Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders. </li></ul>NICE TO HAVES <ul> <li>Experience with LLMs and Deep learning models to develop business and data science solutions directly impacting revenue and/or margin. </li></ul> Total Rewards & Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to make your impact in a profitable, high-growth company? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Sales & Underwriting Analytics As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery. Must be eligible to work in the US without company sponsorship This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset
Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance Analysts
Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
Contribute to successful implementation of strategies to achieve targeted business objectives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows
Qualifications: 5+ years of relevant experience recommended
Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation
Proficiency in statistical modeling, inference, and building machine learning algorithms in Python
Proficiency in SQL and navigating databases to extract relevant attributes
Proficiency in Unix and Git
Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. (This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position.) BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems. EXPERIENCE: A minimum of 4 years experience in a hands-on, in-the-weeds data science position. YOUR ROLE You will be developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects. SUCCESS LOOKS LIKE Innovate, create, and design ML solutions to various business problems such as: Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests. Utilizing Large Language Models in content personalization across various verticals. Recommendation systems to serve ads, offers, questions, etc. Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring. Provide data science support at different project stages, including the implementation of ML solutions by collaborating with Data Engineers and MLOps. Being hands-on and in-the-weeds in the data, coding part of the solution implementation. WHAT YOU NEED TO SUCCEED 4 years of related work experience in the field of Data Science & Machine learning. 2 years of experience in the Marketing/Advertising Industry. Solid background in Machine Learning and Statistics. Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems. Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.). Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals. Experience creating ML solutions within cloud services (AWS/GCP). Experience with ML model development lifecycle. Experience with data visualization (preferably Looker). Experience managing a team of data scientists and machine learning researchers (including career development). Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders. NICE TO HAVES Experience with LLMs and Deep learning models to develop business and data science solutions. Total Rewards & Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to make your impact in a profitable, high-growth company? Apply now Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a Sr. Data Scientist within Personal Lines to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Sales & Underwriting Analytics As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery. Must be eligible to work in the US without company sponsorship This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Chicago, IL, Columbus, OH, Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: <ul> <li>Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey </li><li>Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset </li><li>Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Performance Analysts </li><li>Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage </li><li>Contribute to successful implementation of strategies to achieve targeted business objectives </li><li>Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise </li><li>Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function </li><li>Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions </li><li>Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows </li> </ul>Qualifications: <ul> <li>5+ years of relevant experience recommended </li><li>Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation </li><li>Proficiency in statistical modeling, inference, and building machine learning algorithms in Python </li><li>Proficiency in SQL and navigating databases to extract relevant attributes </li><li>Proficiency in Unix and Git </li><li>Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation </li><li>Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus </li><li>Able to communicate effectively with both technical and non-technical teams </li><li>Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution </li><li>Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques </li><li>Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. </li></ul> Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $106,960 - $160,440 Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. (This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position.) BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems. EXPERIENCE: A minimum of 4 years experience in a hands-on, in-the-weeds data science position. YOUR ROLE You will be developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company's products. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects. SUCCESS LOOKS LIKE <ul> <li>Innovate, create, and design ML solutions to various business problems such as: </li><ul> <li>Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests. </li><li>Utilizing Large Language Models in content personalization across various verticals. </li><li>Recommendation systems to serve ads, offers, questions, etc. </li></ul> <li>Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring. </li><li>Provide data science support at different project stages, including the implementation of ML solutions by collaborating with Data Engineers and MLOps. </li><li>Being hands-on and in-the-weeds in the data, coding part of the solution implementation. </li></ul>WHAT YOU NEED TO SUCCEED <ul> <li>4+ years of related work experience in the field of Data Science & Machine learning. </li><li>2+ years of experience in the Marketing/Advertising Industry. </li><li>Solid background in Machine Learning and Statistics. </li><li>Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems. </li><li>Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.). </li><li>Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals. </li><li>Experience creating ML solutions within cloud services (AWS/GCP). </li><li>Experience with ML model development lifecycle. </li><li>Experience with data visualization (preferably Looker). </li><li>Experience managing a team of data scientists and machine learning researchers (including career development). </li><li>Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders. </li></ul>NICE TO HAVES <ul> <li>Experience with LLMs and Deep learning models to develop business and data science solutions. </li></ul> Total Rewards & Compensation Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to make your impact in a profitable, high-growth company? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Data Scientist Jobs in Windsor Locks, CT

Data Scientist
December 20, 2024

Senior Data Scientist
December 20, 2024

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December 14, 2024

Elections Data Scientist
December 10, 2024

Senior Data Scientist Performance Marketing
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Sr Data Scientist
December 3, 2024

Senior Data Scientist
December 3, 2024

Sr Data Scientist
November 30, 2024

Senior Data Scientist
November 29, 2024

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Data Scientist Jobs in Windsor Locks, CT

Data ScientistDecember 20, 2024

Senior Data ScientistDecember 20, 2024

Elections Data ScientistDecember 14, 2024

Elections Data ScientistDecember 10, 2024

Senior Data Scientist Performance MarketingDecember 9, 2024

Sr Data ScientistDecember 3, 2024

Senior Data ScientistDecember 3, 2024

Sr Data ScientistNovember 30, 2024

Senior Data ScientistNovember 29, 2024