Lead Data Scientist

Job Description

• Skill Set :

  Data engineering

• Total Experience :

  8.00 to 10.00 Years

• No of Openings :

  1

• Job Post Date :

  02/10/2026

• Job Expiry Date :

  30/11/2026

• Domain :

  IT

• Location :

  DEARBORN [United States]

• Job Reference No :

  4110632

Job Summary

Job Title: Data Scientist

Location: Ford-US-MI-Dearborn (Onsite)

Years of Experience: 7-10 Years

Job Summary:

We are seeking a highly skilled Data Scientist with a strong foundation in Data Engineering to join our dynamic team in Dearborn, MI. The ideal candidate will possess a deep understanding of data manipulation, analysis, and modeling, coupled with robust data engineering capabilities. This role is pivotal in transforming raw data into actionable insights that drive business decisions.

Responsibilities:

• Develop and implement data models and algorithms to analyze large datasets.
• Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.
• Design and maintain scalable data pipelines and architectures to support data processing and analysis.
• Utilize statistical methods to analyze data and generate useful business insights.
• Communicate findings and insights to stakeholders through data visualization and reporting.
• Continuously improve data collection and processing techniques to enhance data quality and efficiency.
• Stay updated with the latest industry trends and technologies in data science and engineering.

Mandatory Skills:

• Proven experience in Data Engineering, including data pipeline development and ETL processes.
• Strong proficiency in programming languages such as Python, R, or Scala.
• Expertise in SQL and database management systems (e.g., PostgreSQL, MySQL, or NoSQL databases).
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
• Solid understanding of machine learning algorithms and statistical modeling techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for data storage and processing.

Preferred Skills:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of data governance and data quality frameworks.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience in deploying machine learning models in production environments.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 7-10 years of relevant experience in data science and data engineering roles.
• Strong analytical and critical thinking skills.
• Excellent communication and collaboration skills.

If you are a passionate Data Scientist with a strong Data Engineering background and are looking to make a significant impact in a collaborative environment, we encourage you to apply.

The pay range for this role is $130k - $145k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected].”