Company Name:-
Cummins Inc.

Job Location:-
Pune, Maharashtra

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.

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.

QualificationsSkills
Statistical Modeling – Develops descriptive and explanatory statistical models, and simulations for regression, classification, outlier detection, anomaly detection, time series forecasting using knowledge of foundational statistics such as null hypotheses significance tests, regression models, generalized linear modeling, time series analysis, rank statistics, probability distribution fitting survival analysis, etc.

to validate hypotheses for any given statistical or business question.

Data Mining – Extracts insights from data by identifying relationships and patterns through use of a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.

Problem Solving – Solves problems using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and recommended

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