Lead Data Scientist (PhD)

JD

Required Qualifications:

• Education: MUST HAVE PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field.

• Experience:5+ years of hands-on experience in a Data Scientist with a significant focus on developing and deploying advanced forecasting solutions in a production environment.
• MUST HAVE AUTOMOBILE DOMAIN EXPERIENCE NO TOO OLD
• Demonstrated experience designing and developing intelligent applications, not just isolated models.
• Experience in the automotive industry or a similar complex manufacturing/supply chain environment is highly desirable.
• Technical Skills Expert proficiency in Python (Numpy, Pandas, Scikit-learn, Statsmodels) and/or R. Strong proficiency in SQL.
• Machine Learning/Deep Learning Frameworks: Extensive experience with TensorFlow, PyTorch, Keras, or similar deep learning libraries.
• Forecasting Specific Libraries: Proficiency with forecasting libraries like Prophet, Statsmodels, or specialized time series packages.
• Data Warehousing & Big Data Technologies: Experience with distributed computing frameworks (e.g., Apache Spark, Hadoop) and data storage solutions (e.g., Snowflake, Databricks, S3, ADLS).
• Cloud Platforms: Hands-on experience with at least one major cloud provider (Azure, AWS, Google Cloud Platform) for data science and ML deployments.
• MLOps: Understanding and practical experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines).
• Data Visualization: Proficiency with tools like Tableau, Power BI, or similar for creating compelling data stories and dashboards.

• Analytical Prowess: Deep understanding of statistical inference, experimental design, causal inference, and the mathematical foundations of machine learning algorithms.
• Problem Solving: Proven ability to analyze complex, ambiguous problems, break them down into manageable components, and devise innovative solutions.

We are seeking an exceptional and highly motivated Lead Data Scientist with a PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field, to spearhead the design, development, and deployment of an automotive OEM s next-generation Intelligent Forecast Application will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction.