Remote Data Scientist – Healthcare Analytics & Data Entry – $26/hr – Full‑Time – New York, USA

About careerzynith – Pioneering Health & Wellness Innovation

careerzynith is a global leader in health‑focused services, dedicated to transforming the way people experience care. With a mission to “bring our heart to every moment of your health,” careerzynith blends cutting‑edge technology, data‑driven insights, and compassionate service to deliver affordable, high‑quality health solutions. Our culture is built on inclusion, respect, and continuous learning, empowering every employee to make a meaningful impact on the lives of millions.

Why This Role Matters

As a Data Scientist on the Research & Innovation Transformation team, you will be at the forefront of shaping the future of health services. You’ll design and implement analytical frameworks that drive operational efficiency, enhance automation, and improve the member experience across careerzynith’s extensive network. This is a remote, full‑time position that offers a competitive hourly rate of $26, flexible 8‑hour workdays, and the chance to collaborate with top talent from New York and beyond.

Key Responsibilities

• Develop, test, and deploy predictive models and statistical algorithms to optimize processes within the Health Care Benefits (HCB) ecosystem.
• Design and maintain data pipelines that ingest, cleanse, and transform structured and unstructured data from multiple sources, ensuring data quality and reliability.
• Collaborate with cross‑functional teams—including Product, Operations, and Business Intelligence—to translate business problems into analytical solutions.
• Identify and quantify opportunities for automation and efficiency gains, delivering actionable recommendations that reduce costs and improve member satisfaction.
• Perform exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights that inform strategic decision‑making.
• Create clear, visual dashboards and reports that communicate complex findings to both technical and non‑technical stakeholders.
• Stay current with emerging data science techniques, tools, and best practices, and proactively introduce innovative approaches to the team.
• Mentor junior analysts and contribute to a culture of knowledge sharing and continuous improvement.

Essential Qualifications

• Minimum 2 years of professional experience in data science, analytics, or a related quantitative field.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a comparable discipline.
• Proficiency in programming languages such as Python or R, with a strong emphasis on data manipulation libraries (pandas, dplyr, etc.).
• Hands‑on experience with SQL for data extraction, transformation, and loading.
• Demonstrated ability to build, evaluate, and deploy predictive models (regression, classification, time‑series, etc.).
• Solid understanding of data visualization tools (Tableau, Power BI, Looker) and the ability to craft compelling visual narratives.
• Excellent problem‑solving skills, with a track record of turning ambiguous business challenges into structured analytical projects.
• Strong communication skills, both written and verbal, to articulate technical concepts to diverse audiences.

Preferred Qualifications & Additional Skills

• Experience with cloud platforms (AWS, Azure, GCP) and big‑data technologies (Spark, Hadoop) is a plus.
• Familiarity with machine‑learning frameworks such as Scikit‑learn, TensorFlow, or PyTorch.
• Background in healthcare analytics, claims processing, or health‑care operations.
• Knowledge of data‑governance, privacy regulations (HIPAA, GDPR) and best practices for secure data handling.
• Certification in data science or analytics (e.g., AWS Certified Machine Learning, Google Data Engineer).

Core Competencies for Success

• Analytical Mindset: Ability to dissect complex datasets, identify root causes, and propose data‑driven solutions.
• Collaboration: Comfortable working in a remote, cross‑functional environment, building strong relationships with stakeholders.
• Adaptability: Thrive in a fast‑changing industry, quickly learning new tools and techniques.
• Attention to Detail: Commitment to data integrity, accuracy, and reproducibility of analytical work.
• Business Acumen: Understanding of how analytical outcomes translate into operational improvements and cost savings.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. As a Data Scientist, you will have access to:

• Mentorship programs pairing you with senior data leaders across the organization.
• Annual learning stipend for conferences, certifications, or advanced coursework.
• Opportunities to lead high‑visibility projects that directly influence corporate strategy.
• Rotational assignments that expose you to different facets of the health‑care ecosystem, from claims processing to member experience design.
• Regular internal hackathons and innovation challenges that encourage creative problem‑solving.

Compensation, Perks & Benefits

While the base rate for this role is $26 per hour, careerzynith offers a comprehensive benefits package that includes:

• Health, dental, and vision insurance with generous employer contributions.
• Retirement savings plan with matching contributions.
• Paid time off, holidays, and flexible work‑schedule options.
• Wellness programs, including virtual fitness classes and mental‑health resources.
• Employee assistance program and access to a robust Employee Resource Group network.
• Technology stipend to support remote work setup (laptop, ergonomic accessories, high‑speed internet).

Work Environment & Culture at careerzynith

careerzynith fosters an inclusive, collaborative, and purpose‑driven environment. Our remote teams stay connected through regular virtual town halls, team‑building activities, and open‑door communication channels. We celebrate diversity and encourage every voice to be heard, ensuring that ideas are judged on merit, not background. Our “Heart at Work” behaviors reinforce a culture where compassion, curiosity, and continuous improvement are everyday norms.

How to Apply

If you are passionate about leveraging data to improve health outcomes, thrive in a remote setting, and want to be part of a mission‑driven organization, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you’re excited about the opportunity at careerzynith.

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