Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. Bachelor's Degree in a quantitative field (e.g., Data Science, Mathematics, Statistics, or related discipline). 3+ years of experience in advanced data analytics and model development. Proficiency in tools and programming languages such as Python, R, SQL, or similar. Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis. Strong skills in handling structured and unstructured datasets for reporting and modeling. Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Proven ability to work independently and exercise sound judgment on technical approaches. https://fordcareers.co/GSRnon-HTHD This position is a salary grade 8. Visa sponsorship is not available for this position. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. LI-Onsite LI-JL1 Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) SQL (Advanced querying, stored procedures, query optimization) Develop and validate machine learning and statistical models to support business strategy. Collaborate with cross-functional teams to define objectives and develop actionable insights.
