BI - Data Scientist at Cooper Standard
India
<p style="text-align:left"><b>Job Description:</b></p><p><b>Role Overview</b></p><p>We are seeking a highly skilled <b>Data Scientist</b> with deep expertise in <b>Databricks</b>, <b>Machine Learning</b>, and <b>AI-driven analytics</b> to join our growing data organization. In this role, you will design, build, and deploy scalable models and data workflows that power enterprise insights, automation, and decision-making. You will work across engineering, analytics, and business teams to transform raw data into intelligent, production-ready solutions.</p><p></p><p><b>Key Responsibilities</b></p><ul><li>Develop, train, and deploy <b>machine learning models</b> using Databricks notebooks, MLflow, and the Lakehouse architecture.</li><li>Build scalable <b>ETL/ELT pipelines</b> leveraging Delta Lake, PySpark, and Databricks workflows.</li><li>Implement <b>AI/LLM-based solutions</b>, including retrieval-augmented generation (RAG), vector search, and enterprise agent workflows.</li><li>Partner with data engineering to optimize datasets for analytics, modeling, and real-time inference.</li><li>Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to uncover actionable insights.</li><li>Use MLflow for experiment tracking, model versioning, and lifecycle management.</li><li>Collaborate with business stakeholders to translate ambiguous problems into measurable, data-driven solutions.</li><li>Deploy models into production using Databricks Model Serving, serverless compute, or API endpoints.</li><li>Ensure governance, security, and compliance using Unity Catalog and enterprise data standards.</li><li>Continuously evaluate new AI/ML technologies and recommend improvements to the platform and modeling strategy.</li><li>Implement and uphold enterprise data governance standards, ensuring models and pipelines comply with regulatory, privacy, and audit requirements.</li><li>Use Unity Catalog to manage secure, centralized governance for data, ML models, notebooks, and AI assets.</li><li>Design and enforce Role-Based Access Control (RBAC) to ensure users only access data and models appropriate for their job functions.</li><li>Apply Attribute-Based Access Control (ABAC) for fine-grained, dynamic access decisions based on user attributes (e.g., department, region, clearance level) and data attributes (e.g., sensitivity, classification).</li></ul><p></p><p><b>Required Qualifications</b></p><ul><li>Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.</li><li>3–7+ years of experience building machine learning models in Python (Pandas, Scikit-learn, PySpark, TensorFlow, or PyTorch).</li><li>Hands-on experience with <b>Databricks</b>, including notebooks, Delta Lake, MLflow, and Databricks SQL.</li><li>Strong understanding of <b>Lakehouse architecture</b>, distributed computing, and scalable data processing.</li><li>Experience deploying ML models into production environments.</li><li>Proficiency in SQL and Python for data manipulation and analysis.</li><li>Familiarity with LLMs, embeddings, vector databases, or AI agent frameworks.</li><li>Ability to communicate complex technical concepts to non-technical stakeholders.</li></ul><p></p><p><b>Preferred Qualifications</b></p><ul><li>Experience with <b>Databricks Model Serving</b>, <b>Vector Search</b>, or <b>serverless warehouses</b>.</li><li>Background in NLP, deep learning, or generative AI.</li><li>Experience integrating Databricks with SAP, Snowflake, or enterprise BI tools.</li><li>Knowledge of MLOps best practices and CI/CD pipelines.</li><li>Experience with cloud platforms (Azure, AWS, or GCP).</li><li>Experience with SAP BDC, BDC Connect</li></ul><p></p><p><b>What You’ll Bring</b></p><ul><li>A passion for solving complex problems with data and AI.</li><li>Curiosity, creativity, and a strong desire to innovate.</li><li>Ability to work in fast-paced, cross-functional environments.</li><li>A mindset for building scalable, secure, and production-grade solutions.</li></ul><p></p><p><b>Position Type:</b></p>Regular<p style="text-align:inherit"></p><p style="text-align:left"><b>Additional Locations:</b> </p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Additional Information:</b></p><p></p><p><b>Remote Status:</b></p>Remote
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