Ford Motor Company is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• Ford Motor Company

Location:

• Chennai, Tamil Nadu, India

Job type:

• Full-time

Job mode:

• On-site

Job requisition id:

• 46588

Years of experience:

• 0 to 3 years

Company description:

• Ford Motor Company is a global leader in the automobile industry with a legacy that spans over a century.

• With a workforce of over 186,000 people worldwide, the company stands as a symbol of mobility, innovation, and sustainability.

• Ford is not just focused on manufacturing vehicles, but is actively reimagining mobility with electric, connected, and intelligent vehicle technologies.

• The culture at Ford is rooted in shared ideals and a strong sense of community and responsibility.

• Its core mission is to serve customers and communities by enabling personal freedom through innovative mobility solutions.

• The company emphasizes employee development, innovation, and collaborative problem-solving.

• Ford believes in creating an inclusive work environment where employees are encouraged to grow, explore new frontiers, and contribute to making the world a better place.

• Operating in over 100 countries, Ford combines tradition and forward-thinking to redefine the future of transportation.

• If you want to be a part of a company that makes history and shapes the future, Ford is the place to be.

Profile overview:

• The role focuses on supply chain analytics, combining business acumen and technical skills.

• Ideal candidates will show a proactive attitude towards identifying and solving complex data problems.

• Strong attention to detail, a drive for continuous improvement, and a passion for innovation are key traits.

• Candidates will work closely with global teams and manage multiple stakeholder interactions.

• The Data Scientist will convert business requirements into actionable insights using advanced analytics.

• The individual will be expected to work independently on key deliverables and prioritize effectively.

• Successful candidates will be comfortable navigating ambiguity and making data-driven decisions.

• This role involves managing and delivering time-sensitive analytics projects aligned with business goals.

• Communication and storytelling skills are critical for sharing insights with cross-functional teams.

• The ability to adapt quickly to new tools and technologies is highly valued.

Qualifications:

• A bachelor's or master's degree in a relevant technical field such as Computer Science, Engineering, Mathematics, or Data Science.

• Hands-on experience with analytics projects across any functional domains.

• Proficiency in Python and SQL is essential.

• Familiarity with cloud platforms like GCP, or equivalents like AWS or Azure.

• Knowledge of statistical methods, including regression and multivariate analysis.

• Exposure to machine learning techniques such as classification, clustering, and forecasting models.

• Understanding of text mining, NLP, GenAI, and Large Language Models is preferred.

• Prior experience in BI, ETL, and dashboarding tools such as Power BI or Qliksense is desirable.

• Excellent interpersonal skills and the ability to clearly communicate complex concepts.

• Capacity to prioritize multiple tasks and deliverables under tight deadlines.

Additional info:

• Project management tools such as Jira and Rally will be used for workflow execution.

• The role requires a deep understanding of the data ecosystem and data governance.

• Candidates will participate in global meetings, requiring coordination with international teams.

• Analytics initiatives will focus on supply chain optimization and related domains.

• Ad hoc analyses may be required with a quick turnaround time.

• The role will evaluate emerging tools and practices in the analytics field.

• Candidates should possess strong visualization skills to translate data into dashboards and reports.

• Exposure to big data environments such as Hadoop, Teradata, or DB2 is a plus.

• The ability to communicate insights in a structured, visual, and impactful way is crucial.

• Flexibility to learn new tools and technologies rapidly and apply them efficiently is expected.

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Please click here to apply.