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Data Scientist - Senior at CUMMINGS INC

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

0.0

Posted On

22 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Development, Python, Predictive Modeling, Natural Language Processing, Computer Vision, Generative AI, Statistical Programming, Data Science Methodology, Model Validation, Cloud Platforms, RAG, Agentic Workflows

Industry

Motor Vehicle Manufacturing

Description

Job Summary: Solves complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Researches, designs, implements and validates complex algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts. Key Responsibilities: Participates in projects to support key objectives and business goals through the use of data science methodology. Leverages data science methodology to solve complex business problems. Creates multiple algorithms using complex statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities. Partners with Solution Architect to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products. Partners with less experienced employees on data science tools and methodologies. Clearly articulates results, methodologies and learnings to stakeholder and peer group. Continuous development and advancement of the team through knowledge sharing and collaboration. Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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Responsibilities

Lead the end-to-end development and deployment of scalable AI/ML solutions and pipelines across enterprise platforms. Partner with stakeholders to translate complex business problems into deployable AI solutions that deliver measurable impact.