Data Scientist

Job Summary

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.
• Proficiency in SQL and Python.
• Experience developing machine learning models, predictive analytics, and advanced analytical solutions.
• Experience with Fabric or Databricks.
• Experience with Power BI 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.