REMOTE- Data Scientist
Most applications go out cold — see where you stand first. No sign-up to start.
Don't just apply. Show up ready.
Olive works from this exact posting — no sign-up to start.
At a glance
Job overview
Insight Global is hiring a REMOTE- Data Scientist. This Data Scientist role supports AI-driven initiatives and acquisitions for a global pharmacy retail client. The position focuses on analytical modeling, statistical testing, and impact measurement using pharmacy and store-level datasets. The ideal candidate will apply traditional data science methodologies and leverage AI tools to enhance machine learning and analytics workflows.
Key focus areas include Analyze pharmacy script and store-level data to drive business insights, Conduct statistical testing and measurement to evaluate impact, and Support AI and acquisitions-related initiatives with data-driven analysis.
Important skills include Statistics, AI Agent Solutions, Python, PySpark, Problem Solving, and Problem-Solving Skills. Preferred (not required): Analytical Modeling, Statistical Testing, Impact Measurement, and AI Tools.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Description
We are seeking a Data Scientist for a global pharmacy retail client to support AI-driven initiatives and acquisitions-related workstreams. This role will focus heavily on analytical modeling, statistical testing, and impact measurement across pharmacy and store-level datasets. The ideal candidate is experienced in traditional data science methodologies and can leverage AI tools to enhance machine learning and analytics workflows.
Key Responsibilities:
• Analyze pharmacy script and store-level data to drive business insights
• Conduct statistical testing and measurement to evaluate impact
• Support AI and acquisitions-related initiatives with data-driven analysis
• Build and apply machine learning models to support business decisions
• Leverage AI tools (e.g., Claude) to enhance coding and analytical workflows
• Develop and contribute to AI agent-related solutions
Utilize technologies including Python, PySpark, and Databricks (Genie) for analysis
Compensation:
$60/hr to $70/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Required Qualifications:
• Experience in data science, including machine learning and statistical analysis
• Strong analytical thinking and problem-solving skills
• Experience leveraging AI in analytics or machine learning workflows
• Experience building or contributing to AI agent solutions
• Proficiency with Python and PySpark
• Experience working in cloud-based data environments
You've read the whole posting — now see how you match it.