Data Scientist

Imagine Pediatrics
United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$135,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Data Analysis Statistical Hypothesis Testing Python (Programming Language) Standard Sql Tableau (Software) Snowflake

Job description

As Data Scientist with Imagine Pediatrics, you will be part of a growing team and business utilizing foundational Data Science to support the health and lives of children with special healthcare needs. This role is critical to understanding the power of our data and how we can leverage insights to directly impact patient care. You will:

  • Communicate with business stakeholders to understand goals and translate them into robust ML/AI models to improve clinical outcomes for children.
  • Work with our Staff Data Scientist and cross functional teams to define requirements, optimize data collection, build data assets, and deliver insights on business strategy and patient care
  • Develop ML models incorporating clinical, claims, and social determinants of health (SDoH) data to drive actionable recommendations
  • Independently query Snowflake and prepare data for exploratory data analysis and modeling

Requirements

First and foremost, you’re passionate and committed to reimagining pediatric health care and creating a world where every child with special health care needs gets the care and support they deserve. You will need:

  • 3+ years of experience, including proficiency in Python and SQL
  • Strong background in study design, causal inference, hypothesis testing, and research methods
  • Ability to work with and present findings to non-technical staff across the organization
  • Experience working in a start-up or growth environment required; healthcare experience preferred
  • Experience with Snowflake, AWS, and/or Tableau

Benefits & conditions

Posted Yesterday Remote Hiring Remotely in USA 135K-170K Annually Mid level Remote Hiring Remotely in USA 135K-170K Annually Mid level Develop machine learning and AI models using clinical, claims, and social determinants of health data to improve pediatric patient outcomes. Partner with stakeholders and cross-functional teams to define requirements, optimize data collection, build data assets, conduct exploratory analysis, and deliver strategic and patient-care insights. Query Snowflake independently and present findings to nontechnical staff. The summary above was generated by AI, The role offers a base salary range of $135,000 - $170,000 in addition to annual bonus incentive, competitive company benefits package and eligibility to participate in an employee equity purchase program (as applicable). When determining compensation, we analyze and carefully consider several factors including job-related knowledge, skills and experience. These considerations may cause your compensation to vary.

We provide these additional benefits and perks:

  • Competitive medical, dental, and vision insurance
  • Healthcare and Dependent Care FSA; Company-funded HSA
  • 401(k) with 4% match, vested 100% from day one
  • Employer-paid short and long-term disability
  • Life insurance at 1x annual salary
  • 20 days PTO + 10 Company Holidays & 2 Floating Holidays
  • Paid new parent leave
  • Additional benefits to be detailed in offer

What We Live By We’re guided by our five core values:

Our Values:

  • Children First. We put the best interests of children above all. We know that the right decision is always the one that creates more safe days at home for the children we serve today and in the future.
  • Earn Trust. We listen first, speak second. We build lasting relationships by creating shared understanding and consistently following through on our commitments.
  • Innovate Today. We believe that small improvements lead to big impact. We stay curious by asking questions and leveraging new ideas to learn and scale.
  • Embrace Humanity. We lead with empathy and authenticity, presuming competence and good intentions. When we stumble, we use the opportunity to grow and understand how we can improve.
  • One Team, Diverse Perspectives. We actively seek a range of viewpoints to achieve better outcomes. Even when we see things differently, we stay aligned on our shared mission and support one another to move forward - together., Remote Michigan, USA 103K-154K Annually Mid level 103K-154K Annually Mid level Fintech * Real Estate * Sales * Financial Services Performs exploratory data analysis, feature engineering, predictive modeling, statistical testing, and data visualization on large structured and unstructured datasets. Develops, validates, and improves predictive and prescriptive models, identifies business opportunities, and presents findings to stakeholders. Collaborates with machine learning engineers, product, and engineering teams on model deployment and internal data platforms. Establishes modeling best practices, supports data collection, and mentors associate data scientists. Top Skills: AWSAzureC++GCPHadoopJavaPythonSQL, JPMorganChase, Remote Michigan, USA 97K-207K Annually Mid level 97K-207K Annually Mid level Fintech * Real Estate * Sales * Financial Services Performs exploratory data analysis, feature engineering, predictive and prescriptive modeling, statistical testing, visualization, and business problem solving. Develops, validates, and deploys models in partnership with engineering and product teams, improves data sources and internal data platforms, communicates findings to stakeholders, and mentors associate data scientists. Top Skills: AWSAzureC++Data Visualization LibrariesGCPHadoopJavaMachine LearningPredictive ModelingPythonSQLStatistical Packages

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

Imagine Pediatrics is a tech enabled, pediatrician led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual first and in home medical, behavioral, and social care, working alongside families, providers, and health plans to break down barriers to quality care. We do not replace existing care teams; we enhance them, providing an extra layer of support with compassion, creativity, and an unwavering commitment to children with medical complexity.

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