Hays
Sr Data Scientist
Hays, Washington, District of Columbia, us, 20022
Qualifications
Bachelor's and 6 years of experience, or Master's/PhD degree and 4 years of experience in Statistics, Mathematics, Engineering, Computer Science, Data Science or a relevant field At least 4 years of experience with time series modelling At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation At least 4 years of development experience with Python Proficiency with statistical packages in Python (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch) Proficiency with relational database concepts, SQL, and knowledge of ETL processes Proficiency with cloud technologies such as AWS, GCP, or Azure Ability to communicate clearly with technical and non-technical audiences Proficiency with version control systems (e.g., Git) Experience leading teams of other data scientists on long-term projects Demonstrated desire to learn new skills Responsibilities
The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions Build and test machine learning models to support the company's platform Maintain and contribute to existing Data Science codebases and automation of existing forecast model pipeline Develop and deploy models to the company's platform that provide ongoing forecasts, optimizations, recommendations, and insights Review diagnostic and performance reports to locate and correct problems and optimize algorithms Work collaboratively with peers by actively participating in research reviews and discussions Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the company's platform Work with analytical leaders to prioritize business information and potential software improvements Lead internal and external projects and direct junior data scientists Benefits
Three weeks (15 days) of Personal Time Off, which includes vacation and sick days 401K plan with a matching plan (100% match on first 3% deferred and 50% on the next 2%) A United Healthcare Plan including Medical, Dental, and Vision The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position. The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply. Our client is seeking a Sr Data Scientist in Washington, DC/ Hybrid. Role Description: The Data Science team is looking for a candidate with strong analytical and data skills to join the team. Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company.
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Bachelor's and 6 years of experience, or Master's/PhD degree and 4 years of experience in Statistics, Mathematics, Engineering, Computer Science, Data Science or a relevant field At least 4 years of experience with time series modelling At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation At least 4 years of development experience with Python Proficiency with statistical packages in Python (e.g., scikit-learn, NumPy, SciPy, Pandas, Statsmodels, matplotlib, and PyTorch) Proficiency with relational database concepts, SQL, and knowledge of ETL processes Proficiency with cloud technologies such as AWS, GCP, or Azure Ability to communicate clearly with technical and non-technical audiences Proficiency with version control systems (e.g., Git) Experience leading teams of other data scientists on long-term projects Demonstrated desire to learn new skills Responsibilities
The Data Scientist will work closely with multiple stakeholders across the business to develop models, optimize systems, and leverage data to support tactical and strategic decisions Build and test machine learning models to support the company's platform Maintain and contribute to existing Data Science codebases and automation of existing forecast model pipeline Develop and deploy models to the company's platform that provide ongoing forecasts, optimizations, recommendations, and insights Review diagnostic and performance reports to locate and correct problems and optimize algorithms Work collaboratively with peers by actively participating in research reviews and discussions Work with Client Support and Delivery teams to communicate outcomes, changes, and new features in the company's platform Work with analytical leaders to prioritize business information and potential software improvements Lead internal and external projects and direct junior data scientists Benefits
Three weeks (15 days) of Personal Time Off, which includes vacation and sick days 401K plan with a matching plan (100% match on first 3% deferred and 50% on the next 2%) A United Healthcare Plan including Medical, Dental, and Vision The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position. The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply. Our client is seeking a Sr Data Scientist in Washington, DC/ Hybrid. Role Description: The Data Science team is looking for a candidate with strong analytical and data skills to join the team. Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company.
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