Data Scientist - Senior

Cummins India Limited

Maharashtra

On-site

INR 1,500,000 - 2,300,000

Full time

14 hours ago

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Job summary

Cummins India Limited is seeking a data science professional to design and validate complex analytics algorithms and predictive models. You will collaborate with domain experts and architects to enable data flows and rapid prototyping of analytical products.

The role emphasizes translating complex analyses into actionable business insights and mentoring peers to advance the analytics capability within the team.

Qualifications

Bachelor’s or higher in a technical discipline or equivalent experience.
Experience with data science methodologies and practical ML model development.
Ability to analyze complex business requirements and translate them into analytics.

Responsibilities

Participates in projects to support key objectives and business goals using data science methodology.
Develops and validates complex algorithms and predictive models.
Collaborates with domain experts and solution architects to enable data flow and analytical product design.
Mentors others and communicates results clearly to stakeholders.

Skills

Data mining

Predictive modeling

Programming

Requirements analysis

Statistical modeling

Problem solving

Collaboration

Tech savvy

Decision quality

Managing complexity

Values differences

Education

College degree in a relevant technical discipline

Tools

SQL

Azure

AWS

Job 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.

Competencies

Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.

Customer focus - Building strong customer relationships and delivering customer-centric solutions.

Decision quality - Making good and timely decisions that keep the organization moving forward.

Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.

Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.

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.

Predictive Modeling - Develops analytical or machine learning models by using appropriate variable transformations, feature selection strategies, imputation strategies, class rebalancing, resampling strategies and quality control measures to generate predictive insights used in solving business questions.

Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.

Requirements Analysis - Evaluates relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization.

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.

Problem Solving - Solves problems and may mentor others on effective problem solving by 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 ensures actions to prevent problem reoccurrence are implemented.

Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications

College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.

Experience