Supply Chain Analytics - Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Ford’s Data & Analytics organization, we like data - a lot. We are looking for smart, nice, and curious people like you -- people who “get” data, thrive in a fast-paced environment, and have wicked analytic and data science skills. We are looking for people who can combine an inherent curiosity for data & analytic techniques with the right business savvy to transform data into insight so we can help Ford Motor Company make smarter decisions.

Data Scientist positions discover and curate new and existing data sources to create solutions for the business. These key positions help bring data to life to solve business problems. Sometimes, a business unit identifies the problem, frequently wishing to optimize cost, revenue, or improve quality. Data Scientists:

• Work with business units and formulate the problem into a mathematical model.
• Create solutions through visualizations, predictive analytics, and prescriptive methods.
• Integrate solutions into the business process.

Your successful project allows users to answer their key questions via data-driven approaches.

You will have the opportunity to work with some of the best and brightest in the field, and be at the forefront of the data science movement transforming the automotive industry.

What you’ll be able to do:

Work closely with stakeholders throughout Ford Operations/Enterprise to identify opportunities to improve process optimization and efficiency via data-driven approaches. Lead, coordinate, and communicate work across multiple teams. Organize large datasets and get actionable insights for business. Apply data mining, data transformation, and develop statistical/optimization models. Create meaningful data visualization or outputs files to communicate findings with stakeholders. Work with IT to implement analytics tools into a production environment.

• Develop analytic models using skills such as data wrangling, algorithm design, prototype development & deployment.
• Support cross-function teams on Supply Chain Complexity decisions with insights gained from analytics tools and visualization from the data.
• Have Strong experience in problem formulation for a complex problem. Acquire a deep understanding of the business problems, define problem scope from business requests, and translate business requirements to analytical projects. Apply Design Thinking to the central question. 
• Work effectively with a wide range of stakeholders and functional teams. Interpret results and communicate them to technical and non-technical audiences, cross-functional teams, and executive leadership.
• Support Adhoc requests and serve as insight provider/consultant for business units.
• Have ownership of the project, create a project plan, track project progress, and host user group meetings.
• Run efficient SQL to process TB-level datasets.
• Design a visual interface for users to interact with the data, or persuading visualization.
• Provide training and maintenance of implemented tools to stakeholders.
• Build advanced analytics models in the supply chain space.

The minimum requirements we seek:

• Master's Degree in Data Science, Physics, Mathematics, Computer Science, Engineering, or Economics
• Two or more years of experience in data visualization, machine learning, or optimization
• Two or more years of experience in one or more of the following: SQL, Hadoop Alteryx, Qlikview, Tableau and implementation. Or Experience with SQL, Python, CPLEX, Simulation software

Our preferred qualifications:

• Ph.D. is preferred in Data Science, Physics, Mathematics, Computer Science, Engineering, or Economics
• Previous Auto industry experience 
• Able to understand and transform various data structures, excellent pattern recognition and predictive modeling skills
• Strong problem solving skills, critical thinking, strong collaboration and communication skills.
• Proven proficiency in developing analytic models, working in a team environment, supporting customer/end users.
• Knowledge in Supply Chain Analytics
• 2+ years of experience with mathematical programming, optimization/simulation techniques, data mining, or statistical analysis
• Ability to deep dive complex processes and break them down to understand the nuances of how they work and connect with other processes
• Experience with analyzing complex non-linear systems, performing discrete-event or agent-based simulation
• Possess a strong understanding of network science and ability to apply its principles to organizational processes
• Proficiency in analytic languages and frameworks such as Python, R, CPLEX, MATLAB, or Java
• Comfortable working in an environment where problems are not always well-defined
• Inquisitive, proactive, and interested in learning new tools and techniques
• Strong oral, written and interpersonal communication skills

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.

If you have what it takes to help us redefine the future of mobility, we’d love to have you join us.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position, TN visa holders may be considered.