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MultiPlanposted 25 days ago
$120,000 - $130,000/Yr
Full-time • Mid Level
Remote • New York, NY
Professional, Scientific, and Technical Services
Resume Match Score

About the position

Claritev pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized action plans to help our customers thrive. This position will work to enable deeper insights and better decision making through the use of data science techniques. They will work with stakeholders across the business to identify opportunities, understand data, develop actionable insights, and work to implement those insights into practice. Let's work together to improve our healthcare space!

Responsibilities

  • Utilizing your intellectual curiosity, partner with stakeholders throughout the organization to identify opportunities to leverage company data and drive business solutions.
  • Mine and analyze data from company databases and use predictive modeling to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Coordinate with Product Management, Engineering and DevOps colleagues in the implementation of models.
  • Deploy solutions and develop continuous monitoring to ensure continued efficacy of solutions.
  • Employ ethical principles of machine learning/AI to ensure models are transparent, relevant, and properly used.
  • Mature our data science practice with continuous learning and knowledge sharing.
  • Collaborate, coordinate, and communicate across disciplines and departments.
  • Ensure compliance with HIPAA regulations and requirements.
  • Demonstrate Company's Core Competencies and values held within.

Requirements

  • 3+ years experience in Data Science and GenAI driven products.
  • Proven experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
  • Possess a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
  • Possess a drive to learn and master new technologies and techniques.
  • Experience using statistical computer languages (Python preferred) to manipulate data and draw insights from large data sets.
  • Experience designing, conducting, analyzing, and interpreting experiments and investigations.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Healthcare space experience preferred.
  • Problem solving, critical thinking, creativity, organizational, design, interpersonal, communication (written, verbal and listening) skills.
  • Proven ability to drive business results with data-based insights.
  • Ability to work with a wide range of stakeholders, functional teams and all levels of engineers.
  • Minimum Bachelor's Degree in Quantitative Science or related field; Master's in Quantitative Science or related field preferred.

Benefits

  • Medical, dental and vision coverage with low deductible & copay
  • Life insurance
  • Short and long-term disability
  • Paid Parental Leave
  • 401(k) + match
  • Employee Stock Purchase Plan
  • Generous Paid Time Off - accrued based on years of service
  • 10 paid company holidays
  • Tuition reimbursement
  • Flexible Spending Account
  • Employee Assistance Program
  • Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year.
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