Role: Lead Data Scientist (PhD) Locations: Plano, TX Type of Hiring: Contract Job Description 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 • 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, GCP) 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.