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

Position:

• Data Scientist

• Entry level to early career, designed for fresh graduates or candidates with up to 3 years of prior exposure in data science, analytics, or related roles

• The position has a strong focus on Supply Chain Analytics and involves exposure to global projects with business-critical outcomes

Company:

• Ford Global (Ford Motor Company)

• A well-established multinational automotive and mobility company, with a strong presence across technology, innovation, data analytics, and digital transformation

• The hiring is under the Global Data Insight & Analytics function

Location:

• Chennai, Tamil Nadu, India

• Hybrid work model with a blend of in-office collaboration and remote flexibility

• The office location is at Plot No. 13, Chennai, TN, 600119

Job type:

• Full-time, permanent role

• Categorized under the Global Data Insight & Analytics domain

Job mode:

• Hybrid (combination of office presence and remote work)

Job requisition id:

• 49939

Years of experience:

• Suitable for freshers and early-career professionals (0-3 years of relevant exposure in analytics, data science, or programming)

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Company Description:

• Ford Global is one of the world’s leading automotive companies, recognized for its continuous innovation and large-scale impact across industries. Beyond its stronghold in mobility and vehicles, Ford has invested significantly in areas like artificial intelligence, data analytics, and digital technology to strengthen its future vision.

• The company’s Global Data Insight & Analytics (GDIA) division is an internal strategic powerhouse. It focuses on building advanced analytical models, data-driven insights, and actionable solutions that drive decision-making across different functional areas including supply chain, product engineering, marketing, sales, and operations.

• Ford has embraced analytics and data science as critical enablers of business growth. Within GDIA, employees get to work on modern technologies like Python, SQL, data warehousing, cloud platforms, and generative AI. The company encourages innovation, experimentation, and continuous improvement.

• The working culture emphasizes collaboration across global teams, providing employees with the opportunity to engage with colleagues from multiple geographies. This allows for cross-functional learning and exposure to diverse problem statements.

• In Chennai, the GDIA team works closely with global stakeholders to deliver predictive analytics solutions, machine learning models, dashboards, and AI-driven experiments, directly contributing to Ford’s success as a data-first organization.

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Profile Overview:

• The Data Scientist role is designed for individuals who want to build a career at the intersection of business problem-solving, analytics, and technology. The role provides exposure to a variety of supply chain analytics projects, where candidates will be expected to execute high-impact initiatives and convert business requirements into analytical frameworks.

• A candidate in this position will not only develop models but will also be expected to present actionable insights in a simplified, story-driven format. It involves deep work with statistical methodologies, data mining, natural language processing, and time series forecasting.

• The role demands strong analytical thinking, programming skills in Python, and a working understanding of SQL and data warehousing technologies. Candidates will also have to develop an understanding of BI and visualization tools, with the ability to prepare dashboards and reports for business stakeholders.

• This position is well-suited for individuals who are proactive, detail-oriented, and innovative. It requires an eagerness to learn new tools, adapt quickly to ambiguous situations, and communicate effectively in a team setting.

• Ford emphasizes professional growth, encouraging employees to experiment with advanced methodologies such as generative AI, big data analytics, and advanced statistical modeling. This ensures candidates gain experience not just in theoretical models but also in practical deployment of data-driven solutions that make an impact on real-world supply chain operations.

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Responsibilities:

• Manage and execute end-to-end supply chain analytics projects, ensuring timely delivery and effective use of project management tools such as Rally and Jira

• Translate business requirements into clear analytical problem statements and identify appropriate statistical, machine learning, or AI-driven solutions

• Apply advanced statistical methodologies such as regression analysis, multivariate analysis, and other classical techniques to analyze and interpret data

• Perform data mining and text mining activities, including natural language processing and generative AI use cases

• Work on time series forecasting models to predict supply chain demand, logistics patterns, and other operational metrics

• Develop, maintain, and optimize SQL queries to handle large data sets across data warehouses such as GCP, Hadoop, Teradata, Oracle, or DB2

• Design and build BI solutions, ETL processes, reporting systems, and interactive dashboards that help business teams take data-backed decisions

• Write and execute Python scripts for data cleaning, model building, testing, and production deployment

• Explore and test big data–based solutions, staying updated with new tools, technologies, and frameworks in the analytics space

• Present findings in a structured, visual format to senior management and global teams, enabling data storytelling and actionable insights

• Participate in conference calls and global meetings, managing communication across multiple business stakeholders

• Carry out ad hoc analyses and special studies, providing results in quick turnaround times for fast decision-making

• Continuously evaluate and recommend new tools and technologies to improve processes, enhance automation, and increase efficiency

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Qualifications:

• Bachelor’s or Master’s degree in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or Economics

• Strong foundation in statistical analysis, probability, and linear algebra

• Demonstrated hands-on experience with analytics projects during academics, internships, or early professional roles

• Knowledge of Python for data analysis, machine learning, and automation is highly desirable

• Proficiency in SQL and understanding of database management systems like Teradata, Oracle, Hadoop, DB2, or cloud databases like GCP

• Exposure to BI tools, reporting frameworks, and visualization dashboards

• Familiarity with modern analytics domains such as text mining, NLP, time series forecasting, and generative AI applications

• Strong problem-solving ability with a logical and methodical approach to working through ambiguous problems

• Effective communication, presentation, and interpersonal skills, with the ability to simplify complex data for non-technical audiences

• Collaborative attitude, openness to learning, and adaptability to new technologies and tools

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Additional Info:

• The role belongs to Ford’s Global Data Insight & Analytics team, an advanced function that supports multiple business verticals across geographies

• Candidates will gain exposure to real-world problems in supply chain analytics, including forecasting, logistics optimization, and data storytelling

• The role requires strong attention to detail and an eagerness to proactively drive improvement in every stage of the analytics lifecycle

• Employees are encouraged to innovate, experiment with new models, and propose enhancements to current processes

• The position offers opportunities for continuous learning, cross-cultural collaboration, and career progression in data science and analytics

• Ford’s culture emphasizes work-life balance, integrity, teamwork, and respect, creating a supportive environment for career development

• Candidates joining this role will not only develop strong technical expertise but also gain domain knowledge in the automotive and mobility sector, making them well-rounded professionals for future growth

Please click here to apply.