Data Scientist

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.