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Remote Data Scientist – arenaflex Healthcare Analytics & Process Automation – $26/hr – Full‑Time – Remote (NY, USA)

Remote · USA Full-time New today

About arenaflex

arenaflex is a leading innovator in the health‑care ecosystem, dedicated to transforming how people experience wellness and medical services. With a mission to “bring our heart to every moment of your health,” arenaflex combines cutting‑edge technology, data‑driven insights, and a compassionate culture to deliver personalized, affordable, and accessible care to millions of individuals across the United States. As a remote‑first organization, arenaflex empowers its talent to work from anywhere while staying deeply connected to the company’s purpose, values, and collaborative spirit.

Why This Role Matters

In today’s rapidly evolving health‑care landscape, the ability to turn massive, complex data sets into actionable strategies is a competitive advantage. As a Data Scientist on the Research & Innovation team, you will be at the heart of arenaflex’s effort to redesign health‑care delivery, improve operational efficiency, and enhance member experiences. Your analytical expertise will directly influence product roadmaps, policy decisions, and the next generation of digital health solutions.

Key Responsibilities

Strategic Analytics & Modeling

  • Design, develop, and maintain predictive models that optimize claim processing, fraud detection, and member engagement.
  • Collaborate with cross‑functional teams—including Product, Engineering, Operations, and Finance—to translate business problems into data‑science solutions.
  • Identify and prioritize analytical opportunities that drive cost savings, automation, and improved member outcomes.

Data Engineering & Pipeline Development

  • Build robust data pipelines using SQL, Python, and modern data‑engineering tools to ingest, clean, and transform structured and unstructured health‑care data.
  • Develop reusable data‑processing frameworks that ensure data quality, consistency, and scalability across multiple business domains.
  • Partner with data‑platform engineers to integrate analytics workloads into arenaflex’s cloud‑based data lake and warehouse environments.

Advanced Analytics & Insight Generation

  • Apply statistical techniques, machine‑learning algorithms, and natural‑language processing to uncover hidden patterns in claims, provider networks, and member interactions.
  • Produce clear, data‑driven visualizations and dashboards that communicate complex findings to both technical and non‑technical stakeholders.
  • Validate model performance, conduct A/B testing, and iterate on solutions to ensure continuous improvement.

Collaboration & Thought Leadership

  • Mentor junior analysts and data scientists, fostering a culture of curiosity, rigor, and knowledge sharing.
  • Present research outcomes at internal forums, industry conferences, and stakeholder meetings, positioning arenaflex as a thought leader in health‑care analytics.
  • Stay abreast of emerging trends, tools, and best practices in data science, health‑care policy, and digital transformation.

Essential Qualifications

  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Advanced degrees (M.S. or Ph.D.) are a plus.
  • Experience: Minimum 2+ years of hands‑on experience in data science or analytics roles, preferably within health‑care, insurance, or a similarly regulated industry.
  • Programming Skills: Proficiency in Python or R for statistical analysis, model development, and data manipulation.
  • Database Expertise: Strong command of SQL for data extraction, transformation, and complex querying.
  • Statistical & Machine‑Learning Knowledge: Ability to implement regression, classification, clustering, time‑series forecasting, and deep‑learning techniques.
  • Data Visualization: Experience with tools such as Tableau, Power BI, or Plotly to create compelling, stakeholder‑focused visual narratives.
  • Communication: Excellent written and verbal communication skills; ability to translate technical concepts into business‑friendly language.

Preferred Qualifications & Additional Skills

  • Experience with cloud platforms (AWS, Azure, GCP) and big‑data technologies (Spark, Hadoop, Kafka).
  • Familiarity with health‑care data standards (HIPAA, HL7, FHIR) and regulatory compliance considerations.
  • Background in operations research, optimization, or process‑improvement methodologies.
  • Demonstrated ability to lead end‑to‑end analytics projects from ideation through production deployment.
  • Passion for health‑care equity, diversity, and inclusion, aligning with arenaflex’s core values.

Core Skills & Competencies

  • Analytical Thinking: Strong problem‑solving mindset with a data‑first approach.
  • Collaboration: Ability to work effectively in a remote, cross‑functional environment, building trust and shared ownership.
  • Adaptability: Comfort navigating ambiguity, shifting priorities, and fast‑paced innovation cycles.
  • Ethical Judgment: Commitment to data privacy, security, and ethical AI practices, especially in a health‑care context.
  • Continuous Learning: Eagerness to stay current with evolving tools, techniques, and industry trends.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its team members. As a Data Scientist, you will have access to:

  • Annual learning stipend for conferences, certifications, and online courses.
  • Mentorship programs pairing you with senior leaders in analytics, product, and health‑policy.
  • Opportunities to lead high‑visibility projects that directly influence corporate strategy.
  • Rotational assignments across different business units (e.g., member services, provider networks, digital health platforms) to broaden your expertise.
  • Regular hackathons and innovation challenges that encourage creative problem‑solving.

Work Environment & Culture at arenaflex

arenaflex fosters an inclusive, purpose‑driven culture where every employee feels valued and empowered to make an impact. Key cultural pillars include:

  • Heart‑Centered Service: A shared commitment to improving the health and well‑being of members, providers, and communities.
  • Diversity & Inclusion: A proactive approach to building a workforce that reflects the rich diversity of the populations we serve.
  • Flexibility: Remote‑first work model, flexible hours, and a results‑oriented performance framework.
  • Collaboration: Regular virtual “coffee chats,” cross‑team workshops, and open‑door communication channels with senior leadership.
  • Well‑Being: Comprehensive mental‑health resources, wellness stipends, and a supportive environment that encourages work‑life balance.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $26/hr, complemented by a robust benefits package that includes:

  • Health, dental, and vision insurance with generous employer contributions.
  • Retirement savings plan with company match.
  • Paid time off, holidays, and sick leave.
  • Remote‑work allowance for home office setup.
  • Employee assistance programs, mental‑health counseling, and wellness incentives.
  • Professional development budget and tuition reimbursement.
  • Recognition programs that celebrate innovation, teamwork, and community impact.

How to Apply

If you are passionate about leveraging data to drive meaningful change in health‑care, thrive in a collaborative remote environment, and want to be part of a purpose‑filled organization, we want to hear from you. Submit your resume, a brief cover letter outlining your relevant experience, and any portfolio or project links that showcase your analytical capabilities.

Apply Now!

Join arenaflex – Make an Impact Every Day

At arenaflex, your work will directly influence the health outcomes of millions, while you grow alongside a community of innovators, thinkers, and caring professionals. Take the next step in your career and help shape the future of health‑care analytics. Apply today and bring your heart to the future of wellness.

Apply for this job

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