Data Scientist
Don't apply into the void.
Most applications for this Ford Motor Company role vanish into an ATS. With jobfinder-ai, your agent finds the actual hiring manager or founder behind this opening and sends a tailored email from your own inbox — so a real person reads your pitch and replies. We then follow up until you land on the calendar.
Reach the decision-maker — $5About the role
Job ID 67305 Category Enterprise Technology Location India Work Type On\-site
The Global Data Insights and Analytics (GDI\&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real\-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI\&A is to drive evidence\-based decision making by providing insights from data. Applications for GDI\&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
* Build an in\-depth understanding of the business domain and data sources, demonstrating strong business acumen. * Extract, analyze, and transform data using SQL for insights. * Apply statistical methods and develop ML models to solve business problems. * Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. * Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. * Integrate and operationalize ML models for real\-world impact. * Monitor the performance and impact of deployed models, iterating as needed. * Present findings and recommendations effectively to both technical and non\-technical audiences to inform and drive business decisions.
**Qualifications:**
* At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands\-on proficiency with SQL and Python. * Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). * Hands\-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time\-series analysis, etc.).
**Technical Skills:**
* Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. * Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit\-learn, TensorFlow, PyTorch, etc.). * Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. * Experience with version control systems, particularly Git. * Nice to have: Exposure to Generative AI / Large Language Models (LLMs).
**Functional Skills:**
* Proven ability to understand and formulate business problem statements. * Ability to translate Business Problem statements into data science problems. * Strong problem\-solving ability, with the capacity to analyze complex issues and develop effective solutions. * Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non\-technical audiences. * Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data\-driven decision\-making.
Ready to reach the decision-maker?
Set this role as a target and your agent does the sourcing, finds the verified email, writes the pitch, and follows up — on autopilot.
Start your hunt