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GEHA Health

Data Scientist

📍
Lees Summit, MO
🧪
Entry level
GEHA (Government Employees Health Association, Inc., pronounced G.E.H.A.) is a nonprofit member association that provides medical and dental benefits to more than two million federal employees and retirees, military retirees and their families. We celebrate diversity and are committed to creating an inclusive environment for all employees.

GEHA has one mission To empower federal workers to be healthy and well.

Offering one of the largest medical and dental benefit provider networks available to federal employees in the United States, GEHA empowers health and wellness by meeting its members where they are, when they need care. We serve our members with products they value and a personalized customer experience, sustained by a nimble and efficient organization.

The Data Scientist will serve in a critical role within GEHA’s Analytic Center of Excellence (ACOE), building Advanced Analytics methods to provide insights and solutions for complex business opportunities. This role will report directly to the Manager of Analytic Services, and will work closely with the Data Integration and Analytic Solution teams to ensure alignment across the longitudinal evolution of capturing data to creating actionable insights.

Skills

Duties and Responsibilities

  • Perform a wide variety of statistical, predictive and descriptive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms to meet the needs of the business.
  • Work with internal clients to proactively identify and/or understand complex business opportunities and propose advanced analytic methods to provide actionable insights.
  • Build and implement sophisticated analytic methods and statistical models designed with specific business opportunities in mind, using available tools and programming languages such as R or Python
  • Iterate through models quickly, with the ability to assess when an effort may need to be abandoned when it is not providing the business value necessary.
  • Create documentation that allows for the development and maintenance of models, providing oversight and guidance where necessary.
  • Participate in Data Governance efforts, ensuring a solid understanding of data definitions and usage.
  • Provide thought leadership regarding new technologies and/or methods that may benefit the enterprise.
  • Participate or lead efforts to transfer data knowledge to business units, supporting the efforts to utilize the data for decisions, leading the enterprise in its goal to be an insight-driven organization.

Knowledge, Skills, And Abilities

  • Master's degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Mathematics, Statistics, Engineering) with 3+ years' experience or Bachelor's degree in a quantitative/technical field with 6+ years' experience
  • At least 3 years of experience with modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems, optimization, deep learning, and natural language processing
  • At least 3 years of experience in projects involving cross-functional teams
  • At least 3 years of experience with different analytical problem classifications/models and their applicability to different business problems (e.g., clustering, decision trees, logistic and linear regression, Monte Carlo simulation, neural networks, natural language processing, random forest, etc.)
  • At least 3 years of experience with statistical modeling tools such as R, and scripting languages such as Python
  • Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets
  • Experience with PowerBI or similar visualization tool
  • Ability to manage competing priorities simultaneously and drive projects to completion
  • Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
  • Strong understanding of Healthcare or willingness to learn

Work-at-home requirements

  • Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office.
  • A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required.
  • Latency (ping) response time lower than 80 ms
  • Hotspots, satellite and wireless internet service is NOT allowed for this role.
  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

How we value you

  • Competitive pay/salary ranges
  • Incentive plan
  • Health/Vision/Dental benefits effective day one
  • 401(k) retirement plan company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution
  • Robust employee well-being program
  • Paid Time Off
  • Personal Community Enrichment Time
  • Company-provided Basic Life and AD&D
  • Company-provided Short-Term & Long-Term Disability
  • Tuition Assistance Program

Please note that the salary information is a general guideline only. GEHA considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

The annual base salary range for this position is $95,450 - $134,550 USD.

GEHA is an Equal Opportunity Employer, which means we will not discriminate against any individual based on sex, race, color, national origin, disability, religion, age, military status, genetic information, veteran status, pregnancy, marital status, gender identity, and sexual orientation, as well as all other characteristics and qualities protected by federal, state, or local law. GEHA will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their compensation or the compensation of another employee or applicant. We are committed to creating an inclusive environment for all employees. Our diversity drives innovation deepens connections and strengthens our organization.

GEHA is headquartered in Lee's Summit, Missouri, in the Kansas City area. We recognize the importance of balance and flexibility and offer hybrid and work-from-home options for many of our roles.

Key informations

🧳
Full-time
📅
Posted 4 months ago

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