Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.
About the role
- Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
Responsibilities
- Prepare, clean, and validate datasets to ensure high‑quality inputs for analysis and modeling.
- Perform exploratory data analysis (EDA) to identify trends, anomalies, and insights that guide solution design.
- Develop and evaluate statistical and machine learning models for well‑defined business problems.
- Implement, test, and validate models to ensure accuracy, robustness, and reproducibility.
- Support deployment of analytics and ML solutions in collaboration with data engineers and software developers.
- Monitor model performance and contribute to ongoing model maintenance and improvements.
- Translate analytical findings into clear, actionable insights for technical and non‑technical stakeholders.
- Document methods, assumptions, and results to support transparency and knowledge sharing.
- Collaborate closely with cross‑functional teams and incorporate feedback from senior data scientists.
- Contribute to a collaborative team environment and participate in knowledge-sharing activities.
Requirements
- Bachelor or Master degree in Computer Science, Statistics, Engineering, Mathematics, or a related field.
- Strong English level, min. B2/C1
- 2–4 years of experience in data science, analytics, or a quantitative role.
- Proven experience building, testing, and evaluating statistical or machine learning models.
- Hands‑on work with real-world datasets, including cleaning, preprocessing, and feature engineering.
- Experience collaborating with cross-functional teams (engineering, product, business).
- Exposure to deploying analytics or ML solutions is a plus.
- Industry experience in energy, engineering, or industrial settings is welcomed but not required.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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