Job description
Our culture believes in POWERING YOUR POTENTIAL. We provide global opportunities to develop your career, make your community a better place and work with today’s most innovative thinkers to solve the world’s toughest problems.
We believe in flexibility for you to explore your passions while making an impact through meaningful work within our inclusive workforce. That’s what #LifeAtCummins is all about.
DATA SCIENTIST
Description
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.
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.
Skills
Requirements Analysis - Evaluates relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization.
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 actions to prevent problem reoccurrence.
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.
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.
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.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.
Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Decision quality - Making good and timely decisions that keep the organization moving forward.
Education, Licenses, Certifications
College, university or equivalent degree or equivalent work experience in relevant technical discipline is required.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience
Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities.
Knowledge of the latest technologies and trends in data science is highly preferred and includes:
- Background in processing and managing large data sets
- Knowledge of big data, open source and third party toolsets
- Experience in building analytical solutions
Experiences in the following are preferred:
- Familiarity analyzing complex business systems, industry requirements, and/or data regulations
- SQL query language
- Clustered compute cloud-based implementation experience
- Implementing Big Data platform solutions using open source and third-party tools
- Microsoft Azure and/or Amazon Web services environment
- Experience in Agile software development
- Familiarity with validation and testing of machine learning systems
- Familiarity with Continuous Integration and Continuous Delivery (CI/CD)
2 The candidate needs to have thorough knowledge of various machine learning models, its application and limitations
The candidate should have experience developing solutions/ methodology for multiple Predictive analytics problem statements.
The candidates will be required to do end to end project delivery - Defining problem statement/ hypothesis, solution/ methodology, EDA, POC, Modelling, validation and productionizing.
Present project outcomes to Business stakeholders using BI applications like PowerBI.
Expert level capabilities in all the following tools - Python/R, SQL and PowerBI.
Is excellent in programming.
BENEFITS
OVERVIEW
Benefits and perks listed below may vary depending on the nature of your employment with Cummins and the country where you work.
FINANCIAL WELLNESS
As a Cummins employee your retirement savings plan / pension plan / superannuation will power your path to retirement and improve your financial future.
HEALTH & WELLNESS
Your wellbeing is important to us. You and your family will be cared for through comprehensive health care benefits.
CONTINUING EDUCATION
Whether starting or completing a degree, you will be supported by tuition reimbursement opportunities or full funding.
PAID INCENTIVE
You will receive annual merit and profit sharing based on individual and company performance.
DIVERSITY & INCLUSION
We celebrate diverse perspectives and you will be part of building a more diverse workforce to enhance our competitive position and enrich our culture.
WORK-LIFE FLEXIBILITY
Your energy and commitment will be recognized through paid vacation and holidays, parental leave, adoption assistance, flexible work environments and more.
EVERY EMPLOYEE, EVERY COMMUNITY
You are empowered to volunteer at least four hours per year on company time, to give back to the communities where you work and live.
DEVELOPMENT
AND GROWTH
You will learn and grow through training and hands-on experience in an environment that values curiosity and developing talent for the future.
Primary Location India-Maharashtra-Pune-India, Pune, IOC Tower A
Job Type Experienced - Exempt / Office
Recruitment Job Type Exempt - Experienced
Job Posting Feb 8, 2022, 3:27:17 AM
Unposting Date Mar 10, 2022, 1:29:00 PM
Req ID: 2100015V
