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 transparent understanding of the unique needs of different audiences.
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 qualit
📌 Data Scientist (Pune)
🏢 Cummins
📍 Pune