[Hiring] Senior Data Scientist @Inizio Engage

Role Description

The Senior Data Scientist will lead the application of advanced analytics and applied data science techniques to support decision-making across pharmaceutical commercialization. This role combines hands-on analytics and predictive modeling with project and client leadership, delivering high-impact insights while helping advance capabilities toward scalable, machine learning-driven solutions.

This is your opportunity to join Inizio Engage and play a critical role in enabling high-impact Decision Optimization programs.

What will you be doing?

• Lead advanced analytics workstreams for pharmaceutical commercialization initiatives
• Manage 2–4 concurrent project workstreams, including direct client communication
• Translate business questions into structured analytical approaches and actionable recommendations, communicating to both technical and non-technical stakeholders
• Design and execute solutions for use cases including:
  • HCP targeting and prioritization for sales and clinical education
  • Sales force territory sizing, alignment, and structure
  • CRM data mastering across platforms such as Salesforce and Veeva
  • Sales, call activity, and field performance reporting
• Apply advanced analytical techniques such as segmentation, cohorting, deciling, opportunity sizing, and provider/patient profiling
• Build and refine predictive models in Python for commercial pharma use cases such as patient finding, therapy transition prediction, and medication discontinuation risk
• Develop and evaluate machine learning approaches using methods such as random forest, XGBoost, regression, classification, and propensity scoring, as appropriate to the business problem
• Perform feature engineering, model validation, and performance evaluation to support robust, business-relevant models
• Identify opportunities to evolve analytics into scalable data science solutions
• Work within Azure environments (Databricks, Azure Data Factory)
• Work with large healthcare and commercial datasets, including claims, provider, patient, and CRM data
• Partner with cross-functional teams across analytics, data engineering, and business leadership
• Mentor junior team members on analytical problem-solving, coding best practices, and model interpretation

Qualifications

• Master’s degree in a quantitative field (e.g., data science, statistics, mathematics, engineering, or related)
• 4–6 years of experience in analytics or data science, including 2+ years in pharma or life sciences (commercial pharma or consulting preferred)
• Strong hands-on experience applying advanced analytics to support commercial decision-making
• Proficiency in Python and SQL for data analysis and modeling
• Experience working with healthcare data, including patient- and provider-level claims
• Familiarity with syndicated data sources (e.g., IQVIA, Symphony, Komodo)
• Strong communication skills and ability to work with business stakeholders

Requirements

• The following qualifications are preferred but not required:
  • Experience developing predictive models (e.g., propensity, segmentation, classification)
  • Experience with cloud-based analytics platforms (e.g., Databricks, Azure) and/or data engineering workflows
  • Familiarity with CRM data (e.g., Salesforce, Veeva)
  • Experience with BI/reporting tools (e.g., Power BI, Tableau)
  • Consulting experience in life sciences or healthcare analytics

Benefits

• Competitive compensation
• Excellent Benefits
  • Accrued time off
  • Medical, dental, vision
  • 401k
  • Disability & life insurance
  • Paid maternity and paternity leave benefits
  • Employee discounts/promotions
• Employee discounts & exclusive promotions
• Recognition programs, contests, and company-wide awards
• Exceptional, collaborative culture
• Best Places to Work in BioPharma (2022, 2023, & 2024)
• Certified Great Place to Work (2022, 2023, 2025)