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Data Scientist
3 months ago
Data Scientist
Ford Motor Company - Dearborn, MI
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
Do you believe data tells the real story? We do Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
The Strategy & Enterprise Analytics team under Connected Vehicle & Enterprise Analytics organization in GDI&A is seeking an experienced Data Scientist with a strong background in AI/ML to develop and deliver innovative data analytics models, tools, and services. As a key member of our team, you will collaborate with business partners to identify new data sources and explore their potential use in driving business results.
About Us: In Global Data, Insight & Analytics (GDI&A), we harness the power of data and artificial intelligence to navigate Ford Motor Company through the disruptiveness of the information age. We're a team of innovators who strive to realize the enterprise's goals, reveal hidden opportunities, and achieve data superiority.
The minimum requirements we seek :
Master's degree in Data Science, Computer Science or a related quantitative field
3+ years of experience in AI/ML, preferably with some experience in Generative AI
Strong skills in data acquisition, algorithm design, model development, and refinement
Experience with big data technologies, cloud-based data platforms (e.g., GCP, AWS), and business intelligence tools (e.g., Qlik Sense, Looker, Streamlit, Dash)
Excellent oral, written, and interpersonal communication skills
Ability to work collaboratively and drive results in a fast-paced environment
Our preferred requirements :
Ph.D degree in Data Science, Computer Science or a related quantitative field
Experience in Generative AI
Experience in legal or regulatory domains
5+ years of experience in data science and analysis, including full-time work and research/academia experience
Certifications in Google Cloud Platform (GCP) or other cloud platforms
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), NLP, and large-scale optimization
Publications or presentations in recognized journals or conferences
Experience with agile development methodologies and version control systems (e.g., Git)
What you'll receive in return :
As part of the Ford family, you'll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You'll also experience exciting opportunities for professional and personal growth and recognition.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
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.
For information on Ford's salary and benefits, please visit:
About You: We're looking for a seasoned Data Scientist with 3+ years of experience in AI/ML, preferably with some experience in Generative AI. You're a humble and collaborative individual who thrives in a fast-paced environment. You're passionate about developing and delivering data analytics and machine learning models that drive business impact.
What you'll be able to do :
Acquire deep understanding of the business problems and translate them into appropriate business solutions
Act as full stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more
Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
Work independently with minimal guidance, taking ownership of projects and delivering results
Foster a collaborative team environment, showing highest respect for team members and their contributions
Demonstrate curiosity about data, seeking to understand its underlying patterns and relationships
Ensure high-quality data and solutions throughout the development process
Communicate analytical results effectively to various audiences