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.

Responsibilities

Competencies:
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.





Customer focus - Building solid 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 strategie

📌 Data Scientist (Pune)
🏢 Cummins
📍 Pune