Location
Charleston - 997 Morrison Drive, Suite 402

Business
We are a leader in the single-family rental (SFR) Aggregation space with over 10,000 homes across the Southeast and Midwest. Maymont Homes was founded in 2011 to bring technology to the single-family rental space. Over the years we have become a full-service acquisition, renovation, and property management company growing throughout the South and Midwest. By the application of efficient processes enabled by advanced software, our company can provide clean, safe, affordable housing to thousands of people. We strive to offer better living opportunities for individual families, which ultimately improve the lives in the communities we serve!

Job Description
The primary mission of the Lead Data Scientist role is to help our business evolve into an insights-driven organization. The position sits in our Analytics and Data Science team, which aims to disrupt our industry with emerging technologies and data science solutions that drive sustainable competitive advantage for Maymont Homes. The Lead Data Scientist will provide critical analytics to the business, develop deployable machine learning models to provide insights and recommendations to the business to improve internal operations, to understand customers, to provide smarter products and services, to create additional revenue, and to drive decision making. This role will help lay the enterprise-ready foundation for data science across Maymont Homes.

Responsibilities

Formulate Data Science Problems: Collaborate with cross-functional teams, including asset management, construction, marketing, leasing, and finance, to identify business problems and opportunities where data science and machine learning, including generative AI, can add value.

Lead data science projects: Design and execute end-to-end data science projects, from problem definition and data collection/preparation to statistical analysis and modeling, interpretation of results, and development of actionable insights and recommendations.

Statistical modeling and machine learning: Utilize statistical techniques, machine learning algorithms, and generative AI approaches to develop algorithms and uncover patterns, develop predictive models, and create data-driven solutions for various business challenges.

AutoML/Data Science Tooling: Explore and use advances in AutoML and other augmentative technologies to expedite model development and validation.

Establish a strong machine learning foundation: Work closely with our IT operations team to build and maintain a robust machine learning infrastructure, frameworks, and pipelines, ensuring data quality, scalability, monitoring, reproducibility, and efficiency in model development and deployment.

Experimentation: Generate hypotheses, design and execute experiments, analyze and interpret results, and effectively communicate findings and recommendations to technical and non-technical audiences.

Data management and governance: Ensure the consistency, accuracy, and quality of data used in modeling and analysis, working closely with data engineers and data architects to implement data governance best practices.

Communicate Insights: Extract meaningful insights from large datasets and communicate findings to both technical and non-technical stakeholders through visualizations, presentations, and reports.

Collaborate with teammates: Provide guidance and expertise in statistical and analytical techniques, as well as machine learning methodologies, to technical team members including data engineers and data analysts.

Stay up to date with advancements in data science: Continuously enhance your knowledge of the latest trends, tools, and techniques in data science, machine learning, and predictive analytics, and apply them to improve our data-driven capabilities.

Collaborate with external partners: Engage with external partners, including vendors, research institutions, and industry experts, to explore opportunities for innovation and collaboration on cutting-edge projects related to generative AI and machine learning.

Qualifications

A bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering or a related quantitative field is required. A master’s or PhD in Data Science, Machine Learning, or a related field is preferred.

At least 7 years of experience working as a Data Scientist/Analyst on data science applications, with a proven track record of leading successful data science projects.

Strong analytical skills: Demonstrated expertise in data analysis, statistical modeling, and machine learning techniques. Experience with tools and programming languages such as Python, R, SQL, and PowerBI data visualization tool is essential.

Project Leadership abilities: Proven experience in leading data science projects end-to-end, mentoring junior data scientists or data analysts along the way.

Business acumen: Understanding of the finance or real estate industry and the ability to translate business problems into data-driven solutions.

Problem-solving mindset: Ability to think critically, identify patterns, and creatively apply analytical techniques to solve complex business challenges.

Data governance and ethics: Familiarity with data management principles and best practices, including data quality, data privacy, and ethical considerations of working with sensitive data.

Flexibility and adaptability: Willingness to adapt to a fast-paced and rapidly changing environment.

Technologies and Methodologies:

Proficiency in building data pipelines to feed ML/NLP models.

Strong adherence to core software engineering principles (code modularization, versioning, git, testing, etc.).

Understanding of key statistical analysis principles and how to apply them in a business environment.

Proficiency in using Jupyter Notebooks and Python virtual environments.

Proficiency in machine learning frameworks such as scikit-learn, TensorFlow, Spark.

Proficiency in SQL and RDBMS.

Proficiency in cloud technologies and their application to data science.

Proficiency using AWS RedShift and SageMaker.

Why work for Maymont Homes?
Our Mission – “We Positively Impact the Lives in the Communities We Serve”. We do this through the work we do and the volunteer efforts that the company sponsors. You can make a difference in your community while you work!

Outstanding benefits package – our benefits are provided by Brookfield and offer immediate 5% match on the 401(k) plan, wellness credits that significantly reduce the employee cost for health care coverage, and up to 160 hours of PTO per year for full time employees.

Huge parent company – support and backing from Brookfield Asset Management, one of the largest real estate asset management companies.

Career growth – with our plans for growth and expansion into new markets, there are many opportunities to move up within the company.

Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information.

#J-18808-Ljbffr

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.

<h3>Location </h3>Charleston - 997 Morrison Drive, Suite 402 <h3>Business </h3>We are a leader in the single-family rental (SFR) Aggregation space with over 10,000 homes across the Southeast and Midwest. Maymont Homes was founded in 2011 to bring technology to the single-family rental space. Over the years we have become a full-service acquisition, renovation, and property management company growing throughout the South and Midwest. By the application of efficient processes enabled by advanced software, our company can provide clean, safe, affordable housing to thousands of people. We strive to offer better living opportunities for individual families, which ultimately improve the lives in the communities we serve! <h3>Job Description </h3>The primary mission of the Lead Data Scientist role is to help our business evolve into an insights-driven organization. The position sits in our Analytics and Data Science team, which aims to disrupt our industry with emerging technologies and data science solutions that drive sustainable competitive advantage for Maymont Homes. The Lead Data Scientist will provide critical analytics to the business, develop deployable machine learning models to provide insights and recommendations to the business to improve internal operations, to understand customers, to provide smarter products and services, to create additional revenue, and to drive decision making. This role will help lay the enterprise-ready foundation for data science across Maymont Homes. <h3>Responsibilities </h3><ul><li>Formulate Data Science Problems: Collaborate with cross-functional teams, including asset management, construction, marketing, leasing, and finance, to identify business problems and opportunities where data science and machine learning, including generative AI, can add value. </li><li>Lead data science projects: Design and execute end-to-end data science projects, from problem definition and data collection/preparation to statistical analysis and modeling, interpretation of results, and development of actionable insights and recommendations. </li><li>Statistical modeling and machine learning: Utilize statistical techniques, machine learning algorithms, and generative AI approaches to develop algorithms and uncover patterns, develop predictive models, and create data-driven solutions for various business challenges. </li><li>AutoML/Data Science Tooling: Explore and use advances in AutoML and other augmentative technologies to expedite model development and validation. </li><li>Establish a strong machine learning foundation: Work closely with our IT operations team to build and maintain a robust machine learning infrastructure, frameworks, and pipelines, ensuring data quality, scalability, monitoring, reproducibility, and efficiency in model development and deployment. </li><li>Experimentation: Generate hypotheses, design and execute experiments, analyze and interpret results, and effectively communicate findings and recommendations to technical and non-technical audiences. </li><li>Data management and governance: Ensure the consistency, accuracy, and quality of data used in modeling and analysis, working closely with data engineers and data architects to implement data governance best practices. </li><li>Communicate Insights: Extract meaningful insights from large datasets and communicate findings to both technical and non-technical stakeholders through visualizations, presentations, and reports. </li><li>Collaborate with teammates: Provide guidance and expertise in statistical and analytical techniques, as well as machine learning methodologies, to technical team members including data engineers and data analysts. </li><li>Stay up to date with advancements in data science: Continuously enhance your knowledge of the latest trends, tools, and techniques in data science, machine learning, and predictive analytics, and apply them to improve our data-driven capabilities. </li><li>Collaborate with external partners: Engage with external partners, including vendors, research institutions, and industry experts, to explore opportunities for innovation and collaboration on cutting-edge projects related to generative AI and machine learning. </li> </ul><h3>Qualifications </h3><ul><li>A bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering or a related quantitative field is required. A master’s or PhD in Data Science, Machine Learning, or a related field is preferred. </li><li>At least 7 years of experience working as a Data Scientist/Analyst on data science applications, with a proven track record of leading successful data science projects. </li><li>Strong analytical skills: Demonstrated expertise in data analysis, statistical modeling, and machine learning techniques. Experience with tools and programming languages such as Python, R, SQL, and PowerBI data visualization tool is essential. </li><li>Project Leadership abilities: Proven experience in leading data science projects end-to-end, mentoring junior data scientists or data analysts along the way. </li><li>Business acumen: Understanding of the finance or real estate industry and the ability to translate business problems into data-driven solutions. </li><li>Problem-solving mindset: Ability to think critically, identify patterns, and creatively apply analytical techniques to solve complex business challenges. </li><li>Data governance and ethics: Familiarity with data management principles and best practices, including data quality, data privacy, and ethical considerations of working with sensitive data. </li><li>Flexibility and adaptability: Willingness to adapt to a fast-paced and rapidly changing environment. </li><li>Technologies and Methodologies: </li><ul><li>Proficiency in building data pipelines to feed ML/NLP models. </li><li>Strong adherence to core software engineering principles (code modularization, versioning, git, testing, etc.). </li><li>Understanding of key statistical analysis principles and how to apply them in a business environment. </li><li>Proficiency in using Jupyter Notebooks and Python virtual environments. </li><li>Proficiency in machine learning frameworks such as scikit-learn, TensorFlow, Spark. </li><li>Proficiency in SQL and RDBMS. </li><li>Proficiency in cloud technologies and their application to data science. </li><li>Proficiency using AWS RedShift and SageMaker. </li> </ul> </ul><h3>Why work for Maymont Homes? </h3>Our Mission – “We Positively Impact the Lives in the Communities We Serve”. We do this through the work we do and the volunteer efforts that the company sponsors. You can make a difference in your community while you work! Outstanding benefits package – our benefits are provided by Brookfield and offer immediate 5% match on the 401(k) plan, wellness credits that significantly reduce the employee cost for health care coverage, and up to 160 hours of PTO per year for full time employees. Huge parent company – support and backing from Brookfield Asset Management, one of the largest real estate asset management companies. Career growth – with our plans for growth and expansion into new markets, there are many opportunities to move up within the company. Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. #J-18808-Ljbffr

Job Title / Level Data Scientist III - Secret Clearance Clearance Required? Secret Location: CHARLESTON, SC 29407 US (Primary) % Travel 0 - 10% Job Description Join Our Team of Innovators at AMERICAN SYSTEMS! For nearly half a century, AMERICAN SYSTEMS has been a trusted partner to the Navy, tackling some of their most challenging projects with dedication and expertise. Our success is powered by our innovative employee-owners, who thrive on the autonomy to deliver the right solutions when and where they're needed. Are you ready to make your next career move to a company that values forward-thinking and creativity? At AMERICAN SYSTEMS, you'll not only contribute to meaningful projects but also enjoy the benefits of employee ownership. As a Data Scientist, you will: <ul> <li>Work with a team of driven, supportive and highly skilled professionals. </li><li>Receive a robust benefits package that includes Employee Stock Ownership Plan! </li><li>Enjoy flexibility managing your work hours and personal needs with a single accrual leave plan. </li><li>Work with leading-edge technologies. </li></ul>A week in the life of a Data Scientist: <ul> <li>Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software </li><li>Conduct data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets </li><li>Perform software integration or testing, including analyzing and implementing test plans and scripts </li><li>Visualize, interpret, and report data findings; Create dynamic data reports. </li></ul>Job Requirements <ul><li>Active Secret Clearance </li><li>IAT Level II (CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, SSCP) </li> <li>10 years of experience in: <ul><li>Scripting language use, such as Python and using packages commonly used in data science applications or advanced analytics </li><li>With data science, data mining, statistics, or graph algorithms to support analytics objectives </li><li>Applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index; </li> <li>Applying complex mathematical and statistical concepts </li><li>Applying statistical and operations research methods and tools </li><li>Employing spreadsheets for data manipulation and visualization </li><li>Agile/DevSecOps </li><li>Cloud Experience: Amazon Web Services (AWS), Azure, Google Platform (GCP) and Microsoft 365 </li></ul> </li></ul>Founded in 1975, AMERICAN SYSTEMS is one of the largest employee-owned companies in the United States. We are a government services contractor focused on delivering Strategic Solutions to complex national priority programs with 100+ locations worldwide. Through our focus on quality, strong cultural beliefs and innovation we deliver excellence every day. Company Awards: <ul><li>Forbes National Best Midsize Companies </li> <li>Energage National Best Workplaces, National </li> <li>Washington Post Best Workplaces </li> </ul>Veteran Hiring Awards: <ul><li>U.S. Department of Labor Hire Vets Medallion </li> <li>BEST FOR VETS by Military Times </li> <li>TOP 10 MILITARY FRIENDLY COMPANY by MilitaryFriendly.com </li></ul> EOE Minorities/Women/Disabled/Veterans/Gender Identity/Sexual Orientation

SYNERGISTICIT is aware that the Job Market is Challenging due to almost 300,000 Tech Layoffs within the past year due to which The Job market is flooded with thousands of laid off Techies who are competing with existing Jobseekers. For entry level Job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.

Since 2010 we have helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers. All Positions are open for all visas and US citizens

We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed.

Clients have now the option to hire remote workers from anywhere so for a Jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates

We also offer optionally Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours.

If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/

We are also silver sponsors at Oracle Cloudworld , Las vegas from sept 18-21st- please visit us

https://www.oracle.com/cloudworld/sponsor-listing/#synergistic-it

Watch the below videos of us participating at Industry events with the Top companies in Technology at Oracle Cloud world /Oracle Java one (Las vegas) and at Gartner Data Analytics Summit (Florida)

Oracle CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube https://www.youtube.com/watch?v=OAFOhcGy9Z8

https://www.youtube.com/watch?v=EmO7NrWHkLM https://www.youtube.com/watch?v=NVBU9RYZ6UI

https://www.youtube.com/watch?v=Yy74yvjatVg SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube

If you have relevant skills and industry experience, please apply

For preparing for interviews please visit

https://www.synergisticit.com/interview-questions/

REQUIRED SKILLS For Java /Software Programmers
•Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
•Highly motivated, self-learner, and technically inquisitive
•Experience in programming language Java and understanding of the software development life cycle
•Project work on the skills
•Knowledge of Core Java , javascript , C++ or software programming
•Spring boot, Microservices, Docker, Jenkins and REST API's experience
•Excellent written and verbal communication skills

For data Science/Machine learning

REQUIRED SKILLS
•Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
•Project work on the technologies needed
•Highly motivated, self-learner, and technically inquisitive
•Experience in programming language Java and understanding of the software development life cycle
•Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
•Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. No third party candidates or c2c candidates

please only apply to the posting

If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

No phone calls please. Shortlisted candidates would be reached out.

<div>
<h3>Location</h3>
Charleston - 997 Morrison Drive, Suite 402
<h3>Business</h3>
We are a leader in the single-family rental (SFR) Aggregation space with over 10,000 homes across the Southeast and Midwest. Maymont Homes was founded in 2011 to bring technology to the single-family rental space. Over the years we have become a full-service acquisition, renovation, and property management company growing throughout the South and Midwest. By the application of efficient processes enabled by advanced software, our company can provide clean, safe, affordable housing to thousands of people. We strive to offer better living opportunities for individual families, which ultimately improve the lives in the communities we serve!
<h3>Job Description</h3>
The primary mission of the Lead Data Scientist role is to help our business evolve into an insights-driven organization. The position sits in our Analytics and Data Science team, which aims to disrupt our industry with emerging technologies and data science solutions that drive sustainable competitive advantage for Maymont Homes. The Lead Data Scientist will provide critical analytics to the business, develop deployable machine learning models to provide insights and recommendations to the business to improve internal operations, to understand customers, to provide smarter products and services, to create additional revenue, and to drive decision making. This role will help lay the enterprise-ready foundation for data science across Maymont Homes.
<h3>Responsibilities</h3>
<ul>
<li>Formulate Data Science Problems: Collaborate with cross-functional teams, including asset management, construction, marketing, leasing, and finance, to identify business problems and opportunities where data science and machine learning, including generative AI, can add value.</li>
<li>Lead data science projects: Design and execute end-to-end data science projects, from problem definition and data collection/preparation to statistical analysis and modeling, interpretation of results, and development of actionable insights and recommendations.</li>
<li>Statistical modeling and machine learning: Utilize statistical techniques, machine learning algorithms, and generative AI approaches to develop algorithms and uncover patterns, develop predictive models, and create data-driven solutions for various business challenges.</li>
<li>AutoML/Data Science Tooling: Explore and use advances in AutoML and other augmentative technologies to expedite model development and validation.</li>
<li>Establish a strong machine learning foundation: Work closely with our IT operations team to build and maintain a robust machine learning infrastructure, frameworks, and pipelines, ensuring data quality, scalability, monitoring, reproducibility, and efficiency in model development and deployment.</li>
<li>Experimentation: Generate hypotheses, design and execute experiments, analyze and interpret results, and effectively communicate findings and recommendations to technical and non-technical audiences.</li>
<li>Data management and governance: Ensure the consistency, accuracy, and quality of data used in modeling and analysis, working closely with data engineers and data architects to implement data governance best practices.</li>
<li>Communicate Insights: Extract meaningful insights from large datasets and communicate findings to both technical and non-technical stakeholders through visualizations, presentations, and reports.</li>
<li>Collaborate with teammates: Provide guidance and expertise in statistical and analytical techniques, as well as machine learning methodologies, to technical team members including data engineers and data analysts.</li>
<li>Stay up to date with advancements in data science: Continuously enhance your knowledge of the latest trends, tools, and techniques in data science, machine learning, and predictive analytics, and apply them to improve our data-driven capabilities.</li>
<li>Collaborate with external partners: Engage with external partners, including vendors, research institutions, and industry experts, to explore opportunities for innovation and collaboration on cutting-edge projects related to generative AI and machine learning.</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>A bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering or a related quantitative field is required. A master’s or PhD in Data Science, Machine Learning, or a related field is preferred.</li>
<li>At least 7 years of experience working as a Data Scientist/Analyst on data science applications, with a proven track record of leading successful data science projects.</li>
<li>Strong analytical skills: Demonstrated expertise in data analysis, statistical modeling, and machine learning techniques. Experience with tools and programming languages such as Python, R, SQL, and PowerBI data visualization tool is essential.</li>
<li>Project Leadership abilities: Proven experience in leading data science projects end-to-end, mentoring junior data scientists or data analysts along the way.</li>
<li>Business acumen: Understanding of the finance or real estate industry and the ability to translate business problems into data-driven solutions.</li>
<li>Problem-solving mindset: Ability to think critically, identify patterns, and creatively apply analytical techniques to solve complex business challenges.</li>
<li>Data governance and ethics: Familiarity with data management principles and best practices, including data quality, data privacy, and ethical considerations of working with sensitive data.</li>
<li>Flexibility and adaptability: Willingness to adapt to a fast-paced and rapidly changing environment.</li>
<li>Technologies and Methodologies:</li>
<ul>
<li>Proficiency in building data pipelines to feed ML/NLP models.</li>
<li>Strong adherence to core software engineering principles (code modularization, versioning, git, testing, etc.).</li>
<li>Understanding of key statistical analysis principles and how to apply them in a business environment.</li>
<li>Proficiency in using Jupyter Notebooks and Python virtual environments.</li>
<li>Proficiency in machine learning frameworks such as scikit-learn, TensorFlow, Spark.</li>
<li>Proficiency in SQL and RDBMS.</li>
<li>Proficiency in cloud technologies and their application to data science.</li>
<li>Proficiency using AWS RedShift and SageMaker.</li>
</ul>
</ul>
<h3>Why work for Maymont Homes?</h3>
Our Mission – “We Positively Impact the Lives in the Communities We Serve”. We do this through the work we do and the volunteer efforts that the company sponsors. You can make a difference in your community while you work!
Outstanding benefits package – our benefits are provided by Brookfield and offer immediate 5% match on the 401(k) plan, wellness credits that significantly reduce the employee cost for health care coverage, and up to 160 hours of PTO per year for full time employees.
Huge parent company – support and backing from Brookfield Asset Management, one of the largest real estate asset management companies.
Career growth – with our plans for growth and expansion into new markets, there are many opportunities to move up within the company.
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information.
</div>
#J-18808-Ljbffr

Location Charleston - 997 Morrison Drive, Suite 402 Business We are a leader in the single-family rental (SFR) Aggregation space with over 10,000 homes across the Southeast and Midwest. Maymont Homes was founded in 2011 to bring technology to the single-family rental space. Over the years we have become a full-service acquisition, renovation, and property management company growing throughout the South and Midwest. By the application of efficient processes enabled by advanced software, our company can provide clean, safe, affordable housing to thousands of people. We strive to offer better living opportunities for individual families, which ultimately improve the lives in the communities we serve! Job Description Overview The primary mission of the Lead Data Scientist role is to help our business evolve into an insights-driven organization. The position sits in our Analytics and Data Science team, which aims to disrupt our industry with emerging technologies and data science solutions that drive sustainable competitive advantage for Maymont Homes. The Lead Data Scientist will provide critical analytics to the business, develop deployable machine learning models to provide insights and recommendations to the business to improve internal operations, to understand customers, to provide smarter products and services, to create additional revenue, and to drive decision making. This role will help lay the enterprise-ready foundation for data science across Maymont Homes. Responsibilities + Formulate Data Science Problems: Collaborate with cross-functional teams, including asset management, construction, marketing, leasing, and finance, to identify business problems and opportunities where data science and machine learning, including generative AI, can add value. + Lead data science projects: Design and execute end-to-end data science projects, from problem definition and data collection/preparation to statistical analysis and modeling, interpretation of results, and development of actionable insights and recommendations. + Statistical modeling and machine learning: Utilize statistical techniques, machine learning algorithms, and generative AI approaches to develop algorithms and uncover patterns, develop predictive models, and create data-driven solutions for various business challenges. Perform basic research to understand what methodologies and practices are commonly used for specific business-related problems. + AutoML/Data Science Tooling: Be comfortable exploring and using advances in AutoML and other augmentative technologies to expedite model development and validation. + Establish a strong machine learning foundation: Work closely with our IT operations team to build and maintain a robust machine learning infrastructure, frameworks, and pipelines, ensuring data quality, scalability, monitoring, reproducibility, and efficiency in model development and deployment. + Experimentation: Generate hypotheses, design and execute experiments, analyze and interpret results, , and effectively communicate findings and recommendations to technical and non-technical audiences. + Data management and governance: Ensure the consistency, accuracy, and quality of data used in modeling and analysis, working closely with data engineers and data architects to implement data governance best practices. Identify and design testing of novel data sets that can be leveraged by the business to improve operations and profitability. + Communicate Insights: Extract meaningful insights from large datasets and communicate findings to both technical and non-technical stakeholders through visualizations, presentations, and reports. + Collaborate with teammates: Collaborate by providing guidance and expertise in statistical and analytical techniques, as well as machine learning methodologies, to technical team members including data engineers and data analysts. + Stay up to date with advancements in data science: Continuously enhance your knowledge of the latest trends, tools, and techniques in data science, machine learning, and predictive analytics, and apply them to improve our data-driven capabilities. + Collaborate with external partners: Engage with external partners, including vendors, research institutions, and industry experts, to explore opportunities for innovation, access to additional data sources, and collaboration on cutting-edge projects related to generative AI and machine learning. Qualifications + A bachelors degree in Computer Science, Mathematics, Statistics, Engineering or a related quantitative field is required. A masters or PhD in Data Science, Machine Learning, or a related field is preferred. + Work experience: At least 7 years of experience working as a Data Scientist/Analyst on data science applications, with a proven track record of leading successful data science projects. Prior experience in implementing predictive modeling and building a strong machine learning foundation is required. Prior experience in the finance industry is highly desirable with experience in home building or real estate industry being a plus. + Strong analytical skills: Demonstrated expertise in data analysis, statistical modeling, and machine learning techniques. Experience with tools and programming languages such as Python, R, SQL, and PowerBI data visualization tool is essential. + Project Leadership abilities: Proven experience in leading data science projects end-to-end, mentoring junior data scientists or data analysts along the way. Strong communication and interpersonal skills are required to effectively collaborate with cross-functional teams and senior stakeholders. + Business acumen: Understanding of the finance or real estate industry and the ability to translate business problems into data-driven solutions. Familiarity with asset risk management, scheduling optimization, pricing optimization, financial forecasting, customer segmentation, and demand forecasting is important. + Problem-solving mindset: Ability to think critically, identify patterns, and creatively apply analytical techniques, to solve complex business challenges. + Data governance and ethics: Familiarity with data management principles and best practices, including data quality, data privacy, and ethical considerations of working with sensitive data. + Flexibility and adaptability: Willingness to adapt to a fast-paced and rapidly changing environment. Demonstrated ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines. + Technologies and Methodologies: + Proficiency in building data pipelines to feed ML/NLP models + Strong adherence to core software engineering principles (code modularization, versioning, git, testing etc.) + Understanding of key statistical analysis principles and how to apply them in a business environment. + Proficiency in using Jupyter Notebooks and Python virtual environments + Proficiency in machine learning frameworks such as scikit-learn, TensorFlow, Spark + Proficiency in SQL and RDBMS + Proficiency in cloud technologies and their application to data science. + Proficiency using AWS RedShift and SageMaker Why work for Maymont Homes ?? Our Mission We Positively Impact the Lives in the Communities We Serve. We do this through the work we do and the volunteer efforts that the company sponsors. You can make a difference in your community while you work! Outstanding benefits package our benefits are provided by Brookfield and offer immediate 5% match on the 401(k) plan, wellness credits that significantly reduce the employee cost for health care coverage, and up to 160 hours of PTO per year for full time employees. Huge parent company support and backing from Brookfield Asset Management, one of the largest real estate asset management companies. Career growth with our plans for growth and expansion into new markets, there are many opportunities to move up within the company. Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. #MYMT At Brookfield Properties, our success starts with our people. People like you. We develop, operate, and manage more than 1100 properties and 390 million square feet of real estate across the globe. Its a feat that wouldnt be possible without our team, a diverse group of creative visionaries and innovative experts who are relentless in pursuit of one goal: to ensure our buildings dont simply meet the needs of our tenants, residents, and communities but exceed them, every day.

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.

Client Management Interns support the client team in managing client relationships, ensuring client needs are met, and enhancing client satisfaction. The intern will assist in developing and implementing client success plans, meeting preparation, coordinating cross-functional team support, and organizing client meetings and follow-ups. The role requires effective communication skills, attention to detail, and the ability to work both independently and collaboratively. *Internship details:* <ul><li>The internship will begin January 13, 2025</li><li>This internship will be based in the Detroit Metro area</li><li>20-25 hours/week work dedication during the semester and up to 40/week during breaks and summer</li><li>Anticipated graduation date between December 2025 - December 2026</li><li>Applicants for this internship position with Acxiom in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Acxiom (i.e., H1-B visa, F-1 visa (CPT/OPT), TN visa or any other non-immigrant status)</li></ul>What you will do:<ul><li>Collaborate with the client success team to develop and implement client success plans</li><li>Monitor client satisfaction and proactively address any issues or concerns.</li><li>Preparation for internal and external meetings.</li><li>Support the team in organizing and conducting client meetings and follow-ups.</li><li>Help to identify opportunities for improving client services and processes.</li><li>Maintain accurate and up-to-date client meeting artifacts and documentation.</li><li>Assist in managing client relationships and ensuring needs are met.</li><li>Research projects on relevant industry news, trends, products, services, competitors, and relevant existing and emerging technologies that may impact present and future account performance.</li><li>This role will partner with the Client Partners for the GM and other accounts to support data consulting with our clients:</li><li>Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.</li><li>Leverage Acxiom’s data and data available through established partnerships with brands like Equifax, Polk and Commerce Signals to develop opportunities for creating high-value audiences and other models.</li><li>Help coordinate and prepare for activities designed to build, test and perfect data solution</li><li>Work directly with account team as well as the Acxiom data teams.</li></ul>What you will need:<ul><li>Currently pursuing a degree in Business, Marketing, Communications, or a related field.</li><li>Strong interpersonal and communication skills.</li><li>Ability to work independently and as part of a team.</li><li>Detail-oriented with excellent organizational skills.</li><li>Proficiency in Microsoft Office Suite and CRM software is a plus.</li></ul>Who are we seeking?<ul><li>Top Talent & High Performers: We hire the brightest in the industry!</li><li>Innovative Collaborators: We drive operational improvements to promote efficiency and improve performance.</li><li>Future Leaders: We develop our people and promote from within.</li><li>Game Changers: We empower people to challenge the status quo and explore new possibilities.</li><li>Emotional Intelligence: We cultivate greatness both within ourselves and with others.</li><li>Hardworking Employees: We look for initiative to conquer complex challenges.</li></ul>We believe in building an exciting workplace where associates feel highly motivated and want to engage every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance. Acxiom has a fast paced, high-performance culture where we empower our people to do innovative, ground breaking work. You will always be guided to do what is right. Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected Primary Location City/State: 
Homebased - Conway, Arkansas Additional Locations (if applicable):Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

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Data Scientist Jobs in Charleston, SC

Lead Data ScientistDecember 10, 2024

Senior Data Scientist Performance MarketingDecember 10, 2024

Lead Data ScientistDecember 9, 2024

Data Scientist Iii Secret ClearanceDecember 8, 2024

Remote Data Scientistanalyst Entryjunior LevelDecember 8, 2024

Lead Data ScientistDecember 8, 2024

Lead Data ScientistDecember 2, 2024

Senior Data Scientist Performance MarketingNovember 29, 2024

Intern Data Scientist Spring Detroit MetroNovember 27, 2024