Data Scientist

Role Overview

The Data Scientist will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging sales performance data, market data, programs, external data, etc.

What You Will Do

You will build and scale the automated insight pipeline that powers our sales organization, develop ML models that detect opportunities, diagnose performance issues, and recommend actions, and embed these insights into AI agents, dashboards, and GenAI-powered tools used by sales teams.

Why It Might Be a Fit

You will be key in leading and influencing teams on the translation of business problems and questions into data science models, and have a proven ability to translate business problems into technical solutions and communicate findings to non-technical stakeholders.

Requirements

• 4+ years of experience in a Data Science, Data Analysis, or Data Visualization role
• Hands-on experience with LLMs, RAG architectures, and prompt engineering
• Strong proficiency in Python and ML/data science libraries
• Applied knowledge of statistical data analysis, predictive modeling, classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis
• Proficiency in SQL and experience with cloud data platforms (Snowflake, Spark, BigQuery, etc.)
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation
• Experience with Tableau Server, TabPy, and Extensions is a plus
• Experience with Git and collaborative development workflows
• Familiarity with deployment frameworks and tools (Docker, Kubernetes, FastAPI, or similar)
• Comfort with ambiguity
• Ability to structure complex analysis through data analysis and strategy research
• Proven ability to translate business problems into technical solutions and communicate findings to non-technical stakeholders
• Experience co-developing with data scientists and software engineers in production environments
• Strong time management skills with the ability to collaborate across multiple teams
• Able to balance competing priorities, long-term projects, and ad hoc requirements
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field

Tagged as: BigQuery, Data Analysis, Data Visualization, Python, Snowflake, SQL, Tableau