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
- 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
- This position does not offer visa sponsorship now or in the future
- 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, and retirement savings plans
- Paid time off, sick leave, and paid holidays
- Training programs and development opportunities
- Employee discounts
- Wellness initiatives
Company Overview