Data Scientist

Employment eligibility verification will be required at the time of hire. This position does not offer visa sponsorship now or in the future.

Unlock the power of data to drive business growth. KEDPLASMA is seeking a Data Scientist to develop advanced analytics, machine learning, and AI-driven solutions that improve donor engagement, optimize operations, and support strategic decision-making. In this role, you will partner with leaders across the business to transform complex data into insights that drive measurable results.

What you'll do

• Develop and deploy machine learning, predictive analytics, and AI-driven solutions that support key business objectives.
• Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers.
• Build forecasting and scenario-planning models to support donor flow, plasma collection, capacity planning, and other business initiatives.
• Create and automate dashboards, reports, KPIs, and visualizations that enable data-driven decisions.
• Design, execute, and evaluate experiments and A/B tests to measure the effectiveness of marketing, donor, and operational programs.
• Develop predictive and segmentation models that improve donor acquisition, retention, engagement, and targeting strategies.
• Partner with stakeholders across the organization to solve business challenges using data and analytics.
• Translate analytical findings into clear, actionable recommendations for business leaders.
• Evaluate emerging AI and analytics technologies and identify opportunities to improve automation and business performance.
• Support strategic initiatives through business case analysis, performance measurement, and data-driven recommendations.
• Collaborate with Business Intelligence, IT, and data teams to maximize the value of enterprise data assets.
• Ensure data quality, integrity, governance, and reporting accuracy.
• Present insights and recommendations to leadership.
• Enhance scalable models, analytics frameworks, and reporting solutions that support continuous improvement.

Qualifications and need-to-know

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Engineering, Computer Science, Business Analytics, or a related quantitative field.
• 3+ years of experience in data science, analytics, business intelligence, forecasting, or a related field.
• Strong proficiency in SQL and Python or R.
• Experience developing machine learning models, predictive analytics, and advanced analytical solutions.
• Experience with Power BI, Tableau, or similar data visualization tools.
• Strong knowledge of statistical analysis, forecasting, and performance measurement techniques.
• Experience working with large datasets from multiple data sources.
• Experience in healthcare, life sciences, plasma collection, consumer analytics, marketing analytics, or other regulated industries preferred.
• Experience with cloud-based data platforms preferred.
• Ability to travel up to 20% as needed.