Data Scientist (AI/ML (Automotive & Connected Vehicle) NO C2C

Looking for w2 candidates NO C2C Job Title: Data Scientist – AI/ML (Automotive & Connected Vehicle) Location: Plano, TX (Hybrid – 3-4 Days Onsite) Experience Required: 7+ Years Employment Type: Full-Time Duration: 12 months Job Summary: We are seeking a highly skilled Data Scientist with expertise in AI/ML, Python programming, and a strong background in the automotive industry. This role will be part of the Connected Vehicle team, working on next-generation data-driven solutions to enhance vehicle connectivity, performance, and customer experience. The ideal candidate will have at least 7 years of experience in data science, with hands-on involvement in machine learning projects and automotive data systems. Key Responsibilities: • Develop and deploy AI/ML models to analyze data from connected vehicles. • Collaborate with engineering, product, and data teams to define and solve complex problems using machine learning and statistical methods. • Process, clean, and validate large datasets using Python and relevant data tools. • Build predictive models, clustering solutions, anomaly detection systems, and other advanced analytics models for vehicle data. • Translate business needs into technical solutions with measurable outcomes. • Present findings and insights to stakeholders through visualizations, dashboards, and reports. • Stay current with industry trends and best practices in AI/ML and automotive technology. Qualifications: • 7+ years of experience in Data Science, Machine Learning, or a related field. • Strong proficiency in Python for data analysis, modeling, and scripting. • Deep understanding of machine learning techniques, including supervised and unsupervised learning, deep learning, and statistical modeling. • Prior experience working with automotive data or connected vehicle platforms is highly desirable. • Familiarity with cloud environments (AWS, Azure, GCP) and ML model deployment is a plus. • Excellent communication skills and the ability to work in cross-functional teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.