Data Scientist I

Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path—allowing patients to build trusting relationships with their medication brands.

We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts.

The Data Scientist I collaborates with senior data scientists and engineering teams to support data science projects. They develop machine learning models, statistical solutions, and data-driven insights using Python, SQL, and data visualization tools. They contribute to the design and implementation of ML and DL pipelines, perform statistical analysis, and continuously enhance their technical expertise.

Essential Functions

1. Conduct advanced data analysis and modeling to generate insights using statistical models, machine learning, and advanced analytics to support strategic decisions.

2. Communicate with senior executives and stakeholders by translating complex data science concepts into actionable business insights.

3. Lead the execution of high-impact data science initiatives and collaborate with cross-functional teams to ensure successful delivery.

4. Mentor junior data scientists and analysts by promoting best practices in coding, model development, and analytical thinking.

5. Identify emerging trends and opportunities and influence long-term business strategy through predictive modeling and experimentation.

Education
• Master’s or Ph.D. degree in Data Science, Computer Science, or a related field is preferred.

Experience
• One to three years of experience in data science, machine learning, or statistical modeling.

Knowledge
• Ability to support data-driven decision-making with structured insights.
• Ability to collaborate with cross-functional teams to refine analytical solutions.
• Ability to apply an understanding of the healthcare and patient support services industry to data-driven recommendations.

Skills
• Ability to write clean, efficient Python and SQL code and understand object-oriented programming.
• Ability to apply basic to intermediate algorithms such as trees, queues, and graph algorithms for data structuring.
• Ability to assist in designing and building ML and DL pipelines under the guidance of senior data scientists.
• Ability to perform inferential statistics, hypothesis testing, and data modeling.
• Ability to use AWS tools such as Lambda, Redshift, and RDS for data management.

Competencies

Analytical and Logical Reasoning
Uses reasoning and critical thinking to identify root causes and work through problems. Analyzes information to determine the most probable cause, collects data to extract relevant information, and evaluates and integrates findings into solutions.

Communication (Oral and Written)
Listens actively and communicates key issues respectfully. Shares only relevant information and adapts communication to different audiences to ensure clarity.

Decision Quality
Makes appropriate, informed, and timely decisions while ensuring compliance with company policies and values. Uses analysis, knowledge, experience, and judgment to make effective decisions, even without complete information. Evaluates and prioritizes factors to reach sound solutions.

Travel or Physical Requirements
• No travel required unless requested.

Compliance Requirements
Adhere to all company policies, procedures, and training consistent with ConnectiveRx’s Information Security and Compliance programs, including SOC1, SOC2, PCI, and HIPAA. Maintain strict compliance with company and client policies regarding business rules, ethics, and applicable local, state, and federal laws.