Data Scientist II, Senior or Principal
Pay
The Pay Range for this position is as follows: Level II: $79,400 - $119,100, Senior: $97,150 - $160,150, Principal: $116,500 - $192,400.
Benefits
Comprehensive benefits package including annual discretionary bonuses, 401(k) (6% company match and up to 9% company retirement contribution), tuition reimbursement, generous paid time off benefits, including paid holidays and parental leave, company paid life insurance and disability benefits (short and long term), critical illness, accident & group hospital insurance, pet insurance, an employee assistance program and well-being benefits, and competitive medical, dental and vision insurance.
Qualifications
- Bachelor's Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field, or an equivalent combination of education and experience for Level II.
- Minimum of 3 years of data science experience for Level II.
- Master's Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field, or an equivalent combination of education and experience for Senior.
- Minimum of 5 years of data science experience for Senior.
- Master's Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field, or an equivalent combination of education and experience for Principal.
- Minimum of 8 years of data science experience for Principal.
Skills
- Proficiency in building robust computer programs using R and/or Python.
- Experience with machine learning, advanced statistics, and artificial intelligence.
- Experience with large language models and generative AI tools.
- Experience with data engineering concepts and techniques.
- Experience using SQL to query and update data and build database objects.
Requirements
Strong professional communication skills, including the ability to explain model design, risks, and outputs, and the ability to collaborate within the team to create optimal products.
Knowledge of best-practice model risk management: validation, testing, and control standards, including testing of assumptions, computational accuracy, and documentation of model weaknesses and risks.
Additional Responsibilities
Continuous pursuit of innovative knowledge and skills in the fields of statistics, economics, operations research, computer science, and data science.
About the Role
The Data Scientist II will be engaged in statistical forecasting, mathematical optimization, machine learning, and artificial intelligence projects. This position will collaborate with cross-functional teams to develop and deploy scalable AI- and technology-enabled solutions that enhance productivity, decision-making, and business outcomes.
Responsibilities
Leverages machine learning, advanced statistics, and artificial intelligence to build predictive models, develop forecasts, and quantify complex relationships within data.
Leverages large language models and generative AI tools.
Builds data pipelines and database objects within a SQL Server database using data engineering best practices.
Uses SQL to efficiently query and update data.
Skills
- Proficiency in building robust computer programs using R and/or Python.
- Experience with machine learning, advanced statistics, and artificial intelligence.
- Experience with large language models and generative AI tools.
- Experience with data engineering concepts and techniques.
- Experience using SQL to query and update data and build database objects.
Qualifications
- Bachelor's Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field, or an equivalent combination of education and experience for Level II.
- Minimum of 3 years of data science experience for Level II.
- Master's Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field, or an equivalent combination of education and experience for Senior.
- Minimum of 5 years of data science experience for Senior.
- Master's Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field, or an equivalent combination of education and experience for Principal.
- Minimum of 8 years of data science experience for Principal.