Principal Data Scientist
NTT DATA, Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • India
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Job Level
About the role
- Develops, designs, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
- Partners with stakeholders to identify opportunities for leveraging data to drive business solutions and leverage other data sources to enhance analysis.
- Works cross functionally to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge complex business issues.
- Designs and enhances data collection procedures to include information that is relevant for building analytic systems.
- Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Responsible for providing meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
- Responsible for performing analysis using programming languages or statistical packages such as Python and R.
- Responsible for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
- Creates SQL queries for the analysis of data and visualizes the output of the models.
- Creates documentation around processes and procedures and manage code reviews.
- Responsible for ensuring that industry standards best practices are applied to development activities.
Requirements
- Extended demonstrated experience in a data science role in a corporate environment and/or related industry.
- Extended demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
- Extended demonstrated experience in programming languages (R, Python, etc.).
- Extended demonstrated experience working with and creating data architectures.
- Extended demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
- Extended demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysismachine learningstatistical modelingdata modelingdata miningnatural language processingPythonRSQLdata architecture
Soft Skills
communicationcollaborationproblem-solvingcreativitystakeholder engagement