_Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ Summary The Data Scientist's role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling. This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space; streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business. Essential Functions <ul><li>Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence. </li><li>Wrangle data transformations from the data sandbox and from custom sources for Data modeling. </li><li>Enhance data canonical maturity and integration for Ryders products by interacting with operations to standardize the core value add functionality enabling a multiplier effect. </li> </ul>Additional Responsibilities <ul><li>Performs other duties as assigned. </li> </ul>Skills and Abilities <ul><li>Experience to the development of predictive analytic solutions using predictive analytics tools like: R/Python Alteryx </li><li>Exposure using tools like: ETL tools (SSIS or SSRS) Data manipulation tools (SQL) Object oriented development stacks (.net) (preferred) </li><li>Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms </li><li>Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies </li> </ul>Qualifications <ul><li>Bachelor's degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent </li><li>Master's degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent </li><li>0 to One (1) year Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required </li><li>One (1) year or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment a plus. preferred </li> </ul>Travel: DOT Regulated: None Job Category: Data Science & Analytics Compensation Information : The compensation offered to a candidate may be influenced by a variety of factors, including the candidates relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. Compensation ranges for the position are below: Pay Type : Salaried Minimum Pay Range: 80000 Maximum Pay Range: 95000 The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Benefits Information: For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers . Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process. _Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ #wd

_Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ Summary The Data Scientist's role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling. This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space; streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business. Essential Functions Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence. Use cutting-edge AI techniques from Natural Language Processing (NLP), Computer Vision and Time Series Analysis to create innovative solutions that meet business needs. Extract and perform data transformations from the data ecosystem and custom sources for data modeling/analytics. Enhance data canonical maturity and integration for Ryders products by interacting with operations to standardize the core value add functionality enabling a multiplier effect. Additional Responsibilities Performs other duties as assigned. Skills and Abilities Experience to the development of predictive analytic solutions using data and predictive analytics platforms and languages like: R/Python SQL Databricks Snowflake Exposure using tools like: ETL tools (SSIS , ADF , Informatica etc.) Databases like SQL Server , Oracle etc. Visualizations tools like PowerBI , MicroStrategy etc. (preferred) Object oriented development stacks (.net) (preferred) Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies Qualifications Bachelor's degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent Master's degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent 0 to One (1) year Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required One (1) year or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment a plus. preferred Travel: DOT Regulated: None Applicants from California, Colorado, Hawaii, New Jersey, New York City, and Washington: Salary is determined based on internal equity; internal salary ranges; market data/ranges; applicants skills; prior relevant experience; certain degrees or certifications, etc. The salary for this position ranges from $60,000.00 to $80,000. Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax advantaged 401(k) retirement savings plan Job Category: Data Science & Analytics Compensation Information: The compensation offered to a candidate may be influenced by a variety of factors, including the candidates relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. Compensation ranges for the position are below: Pay Type: Salaried Minimum Pay Range: Maximum Pay Range: The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Benefits Information: For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers . Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process. _Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ #wd

Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flexibility and time for all the things that are important to you. Its an opportunity to do something meaningful, each and every day. Its having support for your mental, physical, financial and professional needs. It means sharpening your skills and growing your career. And it means working in an environment that celebrates diversity and is fair and inclusive. A career at Sedgwick is where passion meets purpose to make a positive impact on the world through the people and organizations we serve. If you are someone who is driven to make a difference, who enjoys a challenge and above all, if youre someone who cares, theres a place for you here. Join us and contribute to Sedgwick being a great place to work. Great Place to Work Most Loved Workplace Forbes Best-in-State Employer Data Scientist (REMOTE) Primary Purpose of this Role: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage. Essential Responsibilities May Include Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders Help to build, prototype, and deploy machine learning models in sandbox and production environments Produce reports to communicate metrics and outcomes of stakeholder interest Assist with developing and maintaining end-to-end ETL data pipelines Work to explore new internal data sources and their utility within projects Communicate modeling challenges, findings, and outcomes to stakeholders Qualifications Insurance claims knowledge preferred Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering Experience writing Python or R code, and notebook environments Knowledge of writing code in Python or R, and notebook environments Knowledge of common unsupervised/supervised ML techniques Taking Care of You Career development and promotional growth opportunities A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more #datascience #datascientist Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles. Taking care of people is at the heart of everything we do. Caring counts Sedgwick is a leading global provider of technology-enabled risk, benefits and integrated business solutions. Every day, in every time zone, the most well-known and respected organizations place their trust in us to help their employees regain health and productivity, guide their consumers through the claims process, protect their brand and minimize business interruptions. Our more than 30,000 colleagues across 80 countries embrace our shared purpose and values as they demonstrate what it means to work for an organization committed to doing the right thing one where caring counts. Watch this video to learn more about us. (https://www.youtube.com/watch?v=ywxedjBGSfA)

Job Description The Role: The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in measurement methods and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts and integration of 1P/3P data sources. They also have expertise in the economics of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc), measurement of ROAS lift, and coordination of tactics through sequencing and frequency caps. This person will work closely with stakeholders in GMs vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, objective performance evaluation, and optimization of audience activation that drive sales. They will be responsible for developing advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Our team is focused on delivering future-focused, consumer- centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. What You'll Do: <ul><li>Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units. </li><li>Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: Create breakthrough solutions, performing exploratory and targeted data analyses. Undertake preprocessing of structured and unstructured data. Monitor and sustain model effectiveness. Present complex information using data visualization techniques. </li><li>Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing. </li><li>Identify long-term technical innovations while continuously improving execution efficiency. </li><li>Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. </li><li>Deep knowledge of marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. </li><li>Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. </li><li>Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. </li><li>Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. </li> </ul>Your Skills & Abilities (Required Qualifications): <ul><li>Masters Degree or Ph.D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field. </li><li>Minimum five years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models. </li><li>Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. </li><li>Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1 and more. </li><li>Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. </li> </ul>What Will Give You a Competitive Edge (Preferred Qualifications): <ul><li>Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression. </li> </ul>Additional Job Description Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. <ul><li>The salary range for this role is $116,100 - $181,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. </li><li>Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. </li> </ul>?This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.? We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire??????? (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global location s The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product developments biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their products ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You wont simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Required Skills: Data Scientist, Product Analytics Responsibilities: Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.) Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Preferred Qualifications: Preferred Qualifications: Masters or Ph.D. Degree in a quantitative field. Public Compensation: $109,000/year to $171,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About the Role: The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a high-growth company. We are looking for a highly skilled Product Analytics Leader with a background in consulting and a proven track record of managing stakeholder relationships. As a Senior Product Data Scientist at Confluent, you will be a key player in helping define the experiences and driving product strategy at Confluent. You will collaborate with our Product leadership team and cross-functional partners across the Data organization. You will use data and analysis to identify and solve product developments challenges, unlocking growth of our product adoption funnel. This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions. What You Will Do: Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives. Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders. Utilize data to uncover trends, identify opportunities for growth, and drive strategic product decisions. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making What You Will Bring: Prior consulting experience with a focus on analytics or data science. Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. 6+ years of experience in Product Data Science/Analytics Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders Exceptional problem solving skills and analytical skills Strong proficiency in data manipulation with data querying languages (e.g. SQL). Proficiency in scripting languages (e.g. Python) preferred. Proficiency in data visualization and building dashboards with tools such as Tableau Experience and familiarity with A/B testing and experiment best practices Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. What Gives You an Edge: Experience and knowledge of causal inference, machine learning and other advanced analytical methods Experience in SaaS/Product-led Growth companies Come As You Are At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $164,160 - $192,870 USD, an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) . Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees. #LI-Remote

Builds scalable, modular procedures that extract valuable information from large and diverse data sources. Information extraction will be focused on direct product requests, internal operations improvement or custom requests and research from clients. Produces algorithms, models, tools, processes and configurations for organizing, analyzing and evaluating data, as well as measurement and visualization tools, reports, technical papers, patents and other means for conveying analysis results. Collaborates broadly within the company and with external partners to unlock value in data collected from diverse sources in a way that addresses customer needs. What You'll Do: Produces innovative solutions driven by exploratory data analysis from complex and high dimensional datasets Produces repeatable solutions around model-based multi-touch attribution Develops and files patent disclosures Writes reports that include visualizations for Product and Marketing groups Participates as a senior member of cross-organizational teams that investigate new technologies What You'll Need: 4-8+ years of related experience Four years experience coding and debugging in R, three in a professional setting Two years experience coding and debugging in Python in a professional setting Two years experience conducting fractional multi touch attribution analysis in a professional setting Two years experience conducting cluster analysis in a professional setting Ability to work under little to no supervision Ability to conduct complex work that is critical to the organization and contribute to measurable team and/or organizational objectives About Comscore At Comscore, were pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, were united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If youre motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, wed love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industrys emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law. To comply with federal law, Comscore participates in E-Verify. Successful candidates must pass the E-Verify process after hire. #LI-MN1 Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference.

Data Scientist Company: Norstella Location: Remote, United States Date Posted: Aug 22, 2024 Employment Type: Full Time Job ID: R-534 Description About Norstella At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quickerand help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: Citeline accelerate the drug development cycle Evaluate bring the right drugs to market MMIT identify barrier to patient access Panalgo turn data into insight faster The Dedham Group think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. Job description Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. Key duties and responsibilities In this role as a Data Scientist, you will: Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams Contributes towards the common data science platform Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments Key requirements 3+ years of experience developing AI / ML applications and data driven solutions Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques Deep understanding of CS fundamentals, computational complexity and algorithm design Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems Experience mentoring junior team members Excellent problem solving and communication skills Nice to have M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences. Knowledge of the healthcare domain and experience with applying AI to healthcare data Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs Our Guiding Principles at Norstella 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesnt. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. Benefits: Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Education benefits Paid parental leave Paid time off The expected base salary for this position ranges from $100,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Become a part of our caring community and help us put health first Humana is seeking a Data Scientist 2 to join our company, which is ranked #40 on the Fortune list and recognized as one of the Best Places to Work. Help us make a significant impact as we assist our members in achieving their best health! This Data Scientist 2 position will join our Site Reliability Engineering (SRE) team to help identify data sets that are impactful to the SRE organization and ensure quality, consistency, and accuracy of the data. Additionally, this individual will help establish processes and procedures for gathering, validating, analyzing, and reporting data sets. In this role, you will also present information using data visualization and dashboarding techniques. The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Data Scientist 2: Develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. Identifies, pulls, reviews, and validates data sets. Ensures quality, consistency, and accuracy of datasets. Analyzes large, complex data sets to extract insights and support decision making. Develops predictive models. Presents information using data visualization techniques. Proposes solutions to business challenges. Use your skills to make an impact Required Qualifications Bachelor's Degree 4 years technical experience Experience with data visualization tools, such as Power BI, Tableau, Qlik, etc. Experience with SQL queries Experience working with large databases Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas Capable of making decisions regarding own work methods, occasionally in ambiguous situations Preferred Qualifications Master's Degree Experience with the Azure data ecosystem Financial knowledge Experience working with ServiceNow ticket data Experience with Power BI Additional Information Location/Work Style: Remote US Why Humana? At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: Work-Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well-being program Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana's secure website. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$86,600 - $119,200 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About us Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

Data Scientist Jobs in West Columbia, SC

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Data Scientist Jobs in West Columbia, SC

Data Scientist I RemoteSeptember 7, 2024

Data Scientist I RemoteSeptember 5, 2024

Data Scientist RemoteAugust 31, 2024

Staff Data Scientist Marketing Applied SciencesAugust 27, 2024

Data Scientist Product AnalyticsAugust 26, 2024

Senior Data Scientist Product And Field OperationsAugust 26, 2024

Senior Data ScientistAugust 25, 2024

Data ScientistAugust 25, 2024

Data Scientist Site Reliability EngineeringAugust 22, 2024