onsite
Senior Data Scientist - Cummins
Data Scientist
Senior Data Scientist who applies advanced statistical and machine‑learning techniques using Python, R and SQL to design, implement and validate algorithms that solve complex business problems and drive data‑driven decisions.
About the role
Key Responsibilities
- Lead end‑to‑end data science projects, from problem definition through model deployment, to support strategic business objectives.
- Design, develop, and validate predictive and prescriptive algorithms using advanced statistical and machine‑learning methods.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and actionable insights.
- Write production‑grade code in Python, R, and SQL for data extraction, transformation, and model implementation.
- Communicate findings through clear visualizations and storytelling to both technical and non‑technical stakeholders.
Requirements
- 5+ years of professional experience in data science, analytics, or a related quantitative field.
- Strong proficiency in Python and R, with solid experience in statistical programming and machine‑learning libraries (e.g., scikit‑learn, TensorFlow, caret).
- Expertise in statistical modeling, hypothesis testing, and predictive analytics.
- Advanced SQL skills for data manipulation and querying large relational datasets.
- Proven ability to translate complex data findings into clear visualizations and business recommendations.
Skills
pythonsqlmachine learning