Job Description

:Ford/GDIA Mission and Scope:At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow\'s transportation.Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That\'s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see 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 Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.About the Role:You would be part of FCSD analytics team.As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to prepare quality data and to develop dashboards and build machine learning algorithms to provide actionable insights that deliver key results to Ford.The potential candidate should have hands-on experience in building dashboards and statistical/machine learning models adhering to the best practices of development. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results.Responsibilities:

• Build an in-depth understanding of the business domain and data sources.
• Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind.
• Design and implement scalable analytical solutions (Qlik/PowerBI Dashboards, ML models) in Google cloud environment.
• Work closely with data engineers to build data products.
• Operationalize dashboards/models by integrating upstream and downstream business processes.
• Communicate results to business teams through effective presentations.
• Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management
• Identify opportunities to build analytical solutions driving business value, leveraging various data sources.

• At least 2 years of relevant work experience in data science
• Bachelors/master\'s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent
• 2+ years of experience with SQL, Python, Qlik or PowerBI delivering analytical solutions in production environment.
• At least 1 year of experience working in Cloud environment (GCP or AWS or Azure)
• 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP)

• Strong skills in SQL, Visualization (PowerBI/Qliksense), Python
• Advanced SQL knowledge to handle large data, optimize queries.
• Working knowledge in GCP environment (Big Query, Vertex AI, Dataform)
• Experience in Programming to develop machine Learning models
• Nice to have: Exposure to Gen AI/LLM
• Exposure to Angular.js based front end development (Optional)

• Understanding and formulating business problem statements
• Problem-Solving Skills
• Convert Business Problem statement into data science problems
• Self-motivated with excellent verbal and written skills
• Highly credible in organizational, time management and decision making
• Excellent Interpersonal skills

Ford