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.