Job Description

**Job Title - Sr Data Scientist** **Location - hybrid at Dearborn, MI** *****Please note, this role is not able to offer visa transfer or sponsorship now or in the future*** **We are Cognizant - AIA - Artificial Intelligence and Analytics** **About AI & Analytics:** Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies! **Summary** As a Consultant/Senior Data Scientist , you will partner with Customer's Design Cost and Complexity Analytics team to deliver advanced analytics and machine learning solutions that optimize vehicle cost and complexity. This role requires deep expertise in data science, strong analytical skills, and the ability to drive strategic insights for operational efficiency and competitive advantage. Roles & Responsibilities Engage with stakeholders to understand complex business requirements and translate them into advanced data science solutions. Provide strategic insights to reduce material costs and optimize design complexity. Design and implement predictive and prescriptive models, leveraging cutting-edge machine learning algorithms. Apply techniques such as data mining, statistical modeling, and optimization algorithms to uncover actionable patterns and trends. Develop robust data pipelines for data ingestion, augmentation, and analysis, ensuring scalability and automation. Optimize model performance for large-scale datasets and production environments. Stay ahead of emerging trends in AI/ML, data science, and analytics tools. Introduce innovative approaches to enhance accuracy, efficiency, and robustness of models. Work closely with cross-functional teams to embed analytics into design workflows. Deliver product backlog items aligned with Ford's strategic objectives and timelines. Required Skills Expertise in Python, SQL, and advanced data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong background in machine learning, predictive analytics, and optimization techniques. Solid foundation in mathematics, statistics, and algorithm design. Experience with cloud platforms GCP and scalable data solutions. Excellent problem-solving, communication, and stakeholder management skills. Knowledge of automotive design processes and cost modeling is highly desirable. - Qualifications Master's degree (MS) in Data Science, Computer Science, Statistics, or related field required. Ph.D. preferred in Data Science, Machine Learning, or a quantitative discipline. - Experience Level 8+ years of experience in data science, analytics, and machine learning, with proven ability to deliver enterprise-scale solutions. - **Work Location** **Dearborn, MI - 4 days at onsite** **Salary and Other Compensation:** Applications will be accepted until Dec 20th 2025 The annual salary for this position is between $130K+ depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans. **Benefits** : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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