Data Scientist

About Labor Pharmacy LLC (DBA RX.co)

At RX.co, we are streamlining pharmacy transactions, claims routing, and cash card processing to build a faster, more transparent prescription experience for pharmacies and patients alike. Our technology helps simplify complex processes, improve economics, and give pharmacies greater control over their prescription business.

We combine the energy, innovation, and agility of a technology startup with the experience and foundation of an established company. As we continue to grow, our team has the opportunity to make a meaningful impact on both the future of RX.co and the pharmacy industry.

The Opportunity: We are seeking a talented and experienced Data Scientist to join our growing technology team. You will be instrumental in building the analytical engine, responsible for identifying trends, improving conversion, optimizing user flows, predicting patient needs, and driving operational efficiency. Experience in driving pricing strategy and background in the healthcare or pharmacy domain are big pluses. This is a chance to make a substantial impact on a company transforming the healthcare industry by turning complex datasets into actionable insights and production-ready machine learning models. Looking for enthusiastic, collaborative team players with a strong ability to influence and help drive data-driven decisions, adaptability, and flexibility in a fast-paced environment.

Responsibilities:

• Own end-to-end problem solving, from problem definition and data exploration through model development, model deployment, and measurement of business impact.
• Translate analytical findings into clear, actionable recommendations that directly influence product decisions, pricing strategies, revenue optimization, and operational efficiency.
• Design and analyze controlled experiments (A/B testing), including hypothesis development, metric definition, and statistical evaluation.
• Running series tests and analyzing transactional datasets to evaluate price elasticity and determine optimal pricing curves accounting for multiple variations.
• Tuning multi-layered pricing engines that integrate complex logic for price selection, real-time intervention mechanisms, and dynamic routing.
• Leveraging machine learning solutions and predictive models to identify trends, improve conversion rates, optimize user flows, and drive revenue optimization.
• Design and build machine learning solutions, predictive models, and LLM-powered applications (leveraging AWS Bedrock), including feature engineering, model training workflows, and production deployment in partnership with engineering teams.
• Work with large-scale datasets across relational and distributed data stores, optimizing access patterns for analytics and model development.
• Implement and adhere to security best practices and HIPAA compliance standards for handling sensitive Protected Health Information (PHI).
• Apply statistical analysis to evaluate model performance and support decision-making across product and operational initiatives.
• Supporting high-throughput pricing by leveraging caching, distributed architecture, scalable data stores and other strategies.
• Utilize GitHub and GitHub Actions for version control and CI/CD of data science workflows.
• Contribute to model deployment strategies (e.g., batch scoring, API-based inference, or event-driven processing) in collaboration with engineering teams to support production use cases.
• Implement monitoring for model performance, data drift, and system health, with clear feedback loops for retraining and continuous improvement.
• Collaborate with engineering teams to ensure models perform reliably within production systems, with an understanding of distributed system considerations such as retries, idempotency, and failure handling.
• Adhere to Agile methodologies in a fast-paced startup environment.

Qualifications:

• 5-8 years of proven experience in data science, with a track record of deploying models into production environments.
• Strong proficiency in Python (Pandas, Scikit-learn, PyTorch, or TensorFlow), SQL, and statistical analysis tools.
• Strong experience working with cloud data and machine learning services in AWS (e.g., S3, Bedrock, SageMaker, compute services, and messaging/streaming), with the ability to select appropriate tools based on problem requirements.
• Strong foundation in statistical modeling, machine learning algorithms, and natural language processing (NLP), with demonstrated experience applying models to real-world business problems and delivering measurable business impact.
• Experience working with both structured (Relational) and unstructured (NoSQL) data.
• Strong understanding of security best practices, encryption, and compliance (e.g., HIPAA) for handling sensitive data.
• Strong problem-solving skills and the ability to translate business problems into mathematical frameworks.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with GitHub and GitHub Actions.
• Experience working in an Agile development environment.
• Familiarity with event-driven architectures and asynchronous processing (e.g., queues, streaming systems) is highly preferred.
• Familiarity with data visualization tools (e.g., Tableau, PowerBI, or Matplotlib/Seaborn).

Bonus Points:

• Experience in driving pricing strategies or working in the healthcare, pharmacy, or biotech industry.
• Advanced degree (MS or PhD) in Data Science, Statistics, Computer Science, or a related field.
• Experience building MLOps capabilities including automated retraining, feature versioning, and reproducible model deployment workflows.
• Experience or familiarity with Google Cloud Platform (GCP) data services and tools.

Job Type: Full-time, Permanent

Compensation Package:

• Yearly pay

Schedule:

• Monday to Friday

Work Location: In person

Join us at Labor Pharmacy Benefit Solutions and build the data-driven future!

What We Offer

• Company-paid benefits: We offer a full employee benefits package paid entirely by the company, with no employee contribution required for the covered benefits.
• Free lunch three days a week: Lunch is provided by the company three days each week, giving you one less thing to plan, pack, or pay for.
• A fun, casual work environment: We keep things professional without feeling overly corporate. Our team works closely together, communicates openly, and genuinely enjoys coming to work.
• Room to grow with the company: As a growing startup, there are opportunities to take on new responsibilities, help improve how we support our pharmacy partners, and have a real influence on how the role develops.

Benefits:

• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Application Question(s):

• Will you now or in the future require sponsorship to work in the U.S.?

Ability to Commute:

• West Jordan, UT 84081 (Required)

Work Location: In person

Pay: $140,000.00 - $180,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Application Question(s):

• Will you now or in the future require sponsorship to work in the U.S.?

Ability to Commute:

• West Jordan, UT 84081 (Required)

Work Location: In person

Salary : $140,000 - $180,000