Senior Data Scientist

Job Description

Our Customer in the Enterprise Automotive industry is seeking a Senior Data Scientist who can build, deploy, and support AI/ML solutions that drive measurable business outcomes. This is a highly visible role requiring both technical expertise and strong business-facing communication skills.

• Partner with business leaders to identify AI/ML opportunities.

• Analyze complex datasets to uncover insights and recommendations.

• Design, build, and deploy machine learning models into production.

• Present findings and recommendations to leadership and stakeholders.

• Monitor model performance, manage retraining cycles, and measure business impact after deployment.

• Collaborate with business, IT, and end users to ensure solutions are adopted and used effectively.

• Mentor team members and document processes to support knowledge sharing.

Role Breakdown:

• 60% Business-facing leadership and stakeholder engagement

40% Hands-on Data Science (Python, SQL, ML model development and deployment)

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Technical

○ 5+ years of Data Science experience

○ Strong Python experience (Pandas, NumPy, etc.)

○ Strong SQL skills

○ Oracle database experience

○ Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn)

○ Experience working within Microsoft/Azure environments

○ Experience deploying AI/ML solutions into production

• Production & MLOps

○ Experience monitoring and maintaining live models after deployment

○ Model retraining, drift monitoring, and performance tracking

○ Git/GitHub, GitHub Actions

○ MLflow

○ Azure DevOps

○ Azure ML / Microsoft Fabric experience

• Business & Communication

○ Ability to work directly with executives and stakeholders

○ Strong presentation and communication skills

○ Proven examples of measurable business impact (revenue generation, cost savings, efficiency improvements, etc.)

Ability to connect model outputs to business value and ROI • Supply Chain, Logistics, Optimization, or Forecasting experience

• Automotive industry experience

• Power BI

• Microsoft Fabric expertise

• Experience with:

○ Generative AI

○ LLMs

○ RAG

○ Agentic AI

○ Azure AI Foundry

Experience using AI coding assistants (Copilot, Claude)