Sr Data Scientist
Apply NowCompany: Takeda
Location: New York, NY 10025
Description:
We are seeking a highly skilled Senior Data Scientist to join our dynamic team. This team is hybrid onsite 3 days a week in NYC. The ideal candidate will have experience with GraphRag and Rag evaluation techniques, and at least 1 year of professional experience building time series forecasting models within Python notebooks or similar tools.
Responsibilities:
- Lead the development and implementation of advanced analytics models and solutions.
- Design and deploy data-driven solutions to drive business improvement and outcomes.
- Utilize GraphRag and Rag evaluation techniques to analyze and interpret complex datasets.
- Build and refine time series forecasting models using Python notebooks or similar tools.
- Collaborate with cross-functional teams to understand business needs and devise possible solutions.
- Mentor junior data scientists and provide expert advice to team members.
- Present and visualize data insights to stakeholders in a comprehensible manner.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience with GraphRag and Rag evaluation techniques.
- At least 1 year of professional experience building time series forecasting models.
- Proficiency in Python and experience with data analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Strong knowledge of machine learning algorithms and statistical methods.
- Excellent problem-solving skills and ability to work independently.
- Effective communication skills and ability to present complex data insights clearly.
Nice to Have Skills & Experience
- Experience with big data technologies (e.g., Hadoop, Spark).
- Familiarity with cloud platforms (e.g., AWS, Azure).
- Experience with data visualization tools (e.g., Tableau, Power BI).
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Responsibilities:
- Lead the development and implementation of advanced analytics models and solutions.
- Design and deploy data-driven solutions to drive business improvement and outcomes.
- Utilize GraphRag and Rag evaluation techniques to analyze and interpret complex datasets.
- Build and refine time series forecasting models using Python notebooks or similar tools.
- Collaborate with cross-functional teams to understand business needs and devise possible solutions.
- Mentor junior data scientists and provide expert advice to team members.
- Present and visualize data insights to stakeholders in a comprehensible manner.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience with GraphRag and Rag evaluation techniques.
- At least 1 year of professional experience building time series forecasting models.
- Proficiency in Python and experience with data analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Strong knowledge of machine learning algorithms and statistical methods.
- Excellent problem-solving skills and ability to work independently.
- Effective communication skills and ability to present complex data insights clearly.
Nice to Have Skills & Experience
- Experience with big data technologies (e.g., Hadoop, Spark).
- Familiarity with cloud platforms (e.g., AWS, Azure).
- Experience with data visualization tools (e.g., Tableau, Power BI).
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.