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Cummins

Data Scientist

Cummins Pune, Maharashtra, India

Motor Vehicle Manufacturing · 10,001+ employees

6 h ago Closes in 5d
data-scientist Senior (5-10 yrs) Full-time India
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About the role

The role involves solving complex business problems by designing, implementing, and validating statistical and predictive algorithms. You will partner with domain experts to verify model capabilities and clearly communicate methodologies and results to stakeholders.

What they look for

Data Science Statistical Modeling Predictive Modeling Algorithms Databricks Palantir Snowflake AI ML Gen-AI Data Engineering Exploratory Data Analysis Programming Solution Lifecycle Management Manufacturing Operations Supply Chain

Requirements

Candidates must have at least 5 years of experience as a data engineer or data scientist with proficiency in analytics platforms like Databricks, Palantir, or Snowflake. Experience in developing and deploying enterprise-wide AI/ML solutions is required, along with domain awareness in manufacturing, supply chain, or finance.

Full description

Job Summary:

Solves analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Researches, designs, implements and validates algorithms to analyze diverse sources of data to achieve project specific outcomes by leveraging statistical and predictive modeling concepts.

Key Responsibilities:

Leverages data science methodology to solve business problems. Creates individual algorithms using statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities. Implements statistical techniques to clean, prepare and profile the data prior to deeper analysis. 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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