Note: The job is a remote job and is open to candidates in USA. 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. The role partners with business leaders to turn complex data into actionable insights and measurable results.

Responsibilities

• 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

Skills

• This position does not offer visa sponsorship now or in the future
• 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

Benefits

• Full medical, dental, and vision coverage
• Life insurance
• AD&D
• Retirement savings plans
• Paid time off
• Sick leave
• Paid holidays
• Training programs and development opportunities
• Employee discounts
• Wellness initiatives

Company Overview