Jobgether
Data Scientist | Pay (Remote - California)
Jobgether Location Not Available
Stellenbeschreibung:

    This position is posted by Jobgether on behalf of Machinify, Inc. We are currently looking for a Data Scientist | Pay in California (USA).

    This role provides a high-impact opportunity to leverage machine learning and data science to transform claims payment processes in the healthcare industry. The Data Scientist will develop advanced models that detect errors, inefficiencies, and potential fraud, driving measurable savings for healthcare payers. You will work with large-scale, complex datasets to design features, optimize model performance, and implement production-ready pipelines. Collaborating closely with cross-functional teams, this role blends technical expertise with strategic thinking to create scalable solutions that improve business outcomes. The environment is fast-paced, innovative, and mission-driven, with a focus on solving real-world problems at scale.

    Accountabilities

    • Master healthcare claims payment policies and operational concepts to inform model development.
    • Build, refine, and optimize machine learning models to identify errors, inefficiencies, and fraud in healthcare claims.
    • Curate and interpret large-scale, complex datasets to support feature engineering and model accuracy.
    • Measure model performance against real-world outcomes and provide actionable operational recommendations.
    • Develop technical frameworks, tools, and pipelines to improve team efficiency and scale solutions.
    • Collaborate with cross-functional teams to implement production-ready solutions and ensure continuous improvement.

    Requirements

    • Several years of hands-on experience solving real-world business problems using data and machine learning.
    • Proven ability to contribute at the team level by developing frameworks and tools that improve workflow efficiency.
    • Experience handling large, complex, and potentially unclean datasets.
    • Ability to measure and optimize the business impact of data science initiatives.
    • Experience building production-quality code, deploying models, and developing robust data pipelines.
    • Strong curiosity about healthcare operations, claims, and payments.
    • Strong analytical skills, attention to detail, and strategic thinking in complex problem-solving.

    Benefits

    • Competitive salary and growth potential.
    • Comprehensive health, dental, and vision insurance.
    • Flexible paid time off and remote work options.
    • Opportunities to work on mission-driven, high-impact projects.
    • Exposure to cutting-edge AI and machine learning technologies in healthcare.
    • Collaborative and innovative work environment supporting professional growth.


    Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
    🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company managing the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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Stelleninformationen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Remote
  • Kategorie:

  • Erfahrung:

    Erfahren
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    20 Aug 2025
  • Standort:

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