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).
Job 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.
