Senior Data Scientist

Your Responsibilities

• Lead end-to-end data science initiatives - from problem definition and data exploration to deployment of scalable, production-grade solutions.
• Apply advanced modeling techniques, including machine learning, deep learning, statistical methods and operations research (e.g., optimization, simulation), to solve complex business problems.
• Partner with cross-functional business stakeholders to translate strategic objectives into actionable analytical solutions.
• Design and develop robust data pipelines and models leveraging platforms such as Databricks, Azure Synapse, and SAP.
• Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making.
• Implement best practices in software engineering, including modular code design, testing, version control, and CI/CD pipelines.
• Ensure model transparency, explainability and interpretability using Explainable AI (XAI) approaches.
• Monitor, evaluate, and optimize model performance in production environments, including establishing observability and feedback loops.
• Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
• Provide technical leadership and mentorship to junior team members.

Key Competencies

• Strong analytical and mathematical problem-solving skills
• Business acumen and ability to connect data insights to outcomes
• Excellent communication and storytelling skills
• High degree of autonomy and ownership
• Collaboration, leadership, and mentorship
• Innovation mindset with a focus on continuous improvement

Minimum Qualifications

• Education: PhD in Statistics, Data Science, Computer Science, Operations Research or a related STEM field with 2+ year of experience, OR Master's degree with 5+ years of relevant experience.
• Required Experience:
  • Strong expertise in machine learning, deep learning, statistics and/or optimization.
  • Advanced proficiency in Python (and /or R), SQL, with experience building and maintaining data pipelines in Databricks or similar environments.
  • Solid foundation in software engineering best practices, including Git, unit and integration testing, CI/CD and model deployment capabilities.
  • Proficiency in data visualization tools such as Power BI, Tableau or Databricks Dashboard.
  • Proven ability to deploy and manage high-performance models in production environments using machine learning ops tools and technologies.

Preferred Qualifications

• Experience building end-to-end observability frameworks, including model monitoring, drift detection, and business performance tracking.
• Familiarity with Natural Language Processing, Generative AI techniques (e.g., LLMs, RAG architectures, AI Agents).
• Experience working with large-scale enterprise data platforms and cloud ecosystems (Azure, AWS, GCP).
• Demonstrated ability to operate effectively in ambiguous, fast-paced environments.

Additional Information

Location: Indianapolis, IN Global HQ (Hybrid Environment)

Travel: Minimal

Benefits and Perks

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching