Staff Data Scientist

Coherehealth
Hyderabad; Telangana, IN
On-siteCareer-pivot friendly

Who this role is best for

Aimed at mid-level data scientists with healthcare experience who can lead complex projects and influence technical direction without direct authority.

Best fit for

  • Experienced data scientists comfortable leading ambiguous, high-leverage problems in healthcare.
    — “Lead the design and execution of complex, high-impact data science initiatives
  • Technical leaders who can set standards and guide others in data science.
    — “Establish best practices for experimentation, model development, and analytical rigor
  • Candidates with deep expertise in NLP and cloud-based ML solutions.
    — “Hands-on experience tuning and evaluating ML models for NLP tasks

Things to consider

  • Expect to mentor and guide other data scientists as part of the role.
    — “Mentor and guide other data scientists, providing technical leadership
  • Must influence senior stakeholders without direct authority.
    — “Proven ability to lead complex projects and influence technical direction without direct authority

How to stand out

  • Highlight specific examples of scaling data science solutions in cloud environments.
    — “Experience building and scaling data science solutions in cloud environments
  • Demonstrate impact on clinical or business outcomes in past roles.
    — “demonstrated impact on business or clinical outcomes
  • Showcase cross-functional collaboration in deploying scalable analytical solutions.
    — “Drive cross-functional alignment to ensure solutions are practical, scalable
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and execute complex data science initiatives
  • define analytical frameworks
  • develop and deploy advanced models
  • mentor and guide other data scientists
Typical background
data sciencemachine learninghealthcare analytics

Skills & requirements

Required

Data ScienceStatistical ModelingMachine LearningCloud EnvironmentsTechnical Leadership

Preferred

Healthcare DataDistributed ComputingAdvanced Data Systems

Stack & domain

PythonStatistical ModelingMachine LearningExperimental DesignNlp TasksTransformersLarge Language ModelsCloud EnvironmentsAWSDistributed Computing FrameworksPysparkSparkAdvanced Data SystemsGraph DatabasesElasticsearchHealthcare

About the role

Original posting from Coherehealth via Greenhouse

Opportunity Overview:

As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes.

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, with demonstrated impact on business or clinical outcomes

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

Hands-on experience tuning and evaluating ML models for NLP tasks (e.g., transformers, large language models)

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

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

Strong experience working with large-scale, complex datasets

Expertise in Python programming language

Ability to communicate and influence at senior stakeholder levels

Nice-to-haves

Experience applying data science solutions on healthcare data (EMR, claims, SDOH data)

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

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

Interview Process*:

Connect with Talent Acquisition 

Meet with the Hiring Manager

Behavioral Interview(s)

Case Study

Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

 

 

Source: Coherehealth careers (Greenhouse)

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