Data Scientist
What Gives Us Purpose
- Partner with executive and business development teams to identify opportunities for data-driven decision-making.
- Analyze structured and unstructured data to uncover trends, patterns, and actionable insights.
- Build dashboards and reports using tools like Power BI to support business operations and strategy.
- Conduct exploratory data analysis and hypothesis testing to support strategic initiatives.
- Collaborate with analysts and engineers to ensure data quality and accessibility.
- Contribute to the development of predictive models and machine learning solutions as the company’s data maturity grows.
- Communicate findings clearly and effectively to both technical and non-technical stakeholders.
- Stay current with emerging tools, techniques, and best practices in data science and AI.
- Proficiency in Python and SQL for data analysis and scripting.
- Experience with Power BI or similar BI tools.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and storytelling abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Growth mindset and willingness to learn new tools and techniques.
- Exposure to AWS cloud services.
- Familiarity with SQL Mesh or similar data orchestration tools.
- Familiarity with AI Coding Tools such as Claude Code, Cursor, Windsurf, or similar.
- Basic understanding of machine learning concepts (e.g., regression, classification, clustering).
- Experience with statistical analysis (e.g., hypothesis testing, A/B testing).
- Knowledge of version control (e.g., Git) and collaborative development practices.
- Bachelor’s degree (B.S.) in Computer Science, Statistics, Mathematics, Data Science, and or Engineering, or other equivalent degrees from a top four-year college or university
- Minimum 4-5 years of experience is preferred
- Master's is optional
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