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Staff Data Scientist

ThinkWise Consulting LLP
Full Timestaff
Raipur, Chhattisgarh, INPosted April 24, 2026

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PythonRAWSElasticsearchSpark

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Job Description

Role - Staff Data Scientist

Work From Office

Experience - 10+ Years

This role goes beyond execution. You’ll define approaches, set standards, and guide others in

solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity

of data science at Cohere while contributing directly to improving clinical and operational

decision-making.

What you’ll do:

● Lead the design and execution of complex, high-impact data science initiatives across

multiple domains

● Define analytical frameworks and modeling approaches for ambiguous, strategic

problem spaces

● Partner with senior stakeholders to shape problem definition, prioritize opportunities, and

influence decision-making

● Develop and deploy advanced models and scalable analytical solutions that drive

measurable outcomes

● Establish best practices for experimentation, model development, and analytical rigor

across the team

● Mentor and guide other data scientists, providing technical leadership and elevating

team capabilities

● Drive cross-functional alignment to ensure solutions are practical, scalable, and

integrated into workflows

What you’ll need:

Must-haves

● 8+ years of experience in data science or advanced analytics, with demonstrated impact

on business or clinical outcomes

● Deep expertise in statistical modeling, machine learning, and experimental design

● Proven ability to lead complex projects and influence technical direction without direct

authority

● Strong experience working with large-scale, complex datasets

● Proficiency in Python, R, or similar programming languages

● Ability to communicate and influence at senior stakeholder levels

Nice-to-haves

● Experience in healthcare analytics (EMR, claims, SDOH data)

● Experience building and scaling data science solutions in cloud environments (e.g.,

AWS)

● Experience with distributed computing frameworks (e.g., PySpark, Spark)

● Familiarity with advanced data systems (e.g., graph databases, Elasticsearch)

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