Senior Manager, Data Science


Thousand Oaks / $150000 - $180000 annum



$150000 - $180000



Thousand Oaks

Job Type


Senior Manager, Data Science

Hybrid Role in Thousand Oaks, CA - Must be willing to relocate

Compensation 150-180k + Base, Bonus, Stock Options

Industry Biotechnology/Manufacturing

The Company

Our client is one of the world's leading biotechnology companies. They use science and innovation to dramatically improve people's lives by discovering, developing, and delivering needed therapeutics. With a global presence and reach, our client has pioneered some of the most significant innovations in the biotech industry. Their medicines have helped millions of patients worldwide.

The Role

- Collaborate with business partners, service owners and IT peers to develop predictive models and insights for my client's US Commercial Organization

- Lead measurement and tracking of various omnichannel CX enablement initiatives

- Measure impact of cross-channel campaigns and overall omnichannel program

- Craft and deploy framework to supervise performance of various campaigns, and tactics at a granular level

- Build high-performance algorithms, prototypes, predictive models, and proof of concepts

- Identifying business needs and proposing potential analytics approaches for solutions

- Creating prototypes and demonstrations to access and apply data assets

- Communicating analysis ideas, progress and results to leadership and business partners

- Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for my client and patients

Preferred Qualifications

- Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain

- Experience with databases including relational, NoSQL, and Graph

- Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow

- Write well-abstracted and reusable code in Python, R, or Scala; freely navigate Linux environments; stand up web applications; documentation, version control, and code review experience

- Experience working with large datasets, distributed computing tools (Spark, Hive, etc.)

- Strong logical, problem solving, and decision-making skills

- Excellent organization/planning skills and ability to handle sophisticated datasets

- Ability to collaborate and influence business partners and IT resources to drive analytic projects end-to-end

- Ability to communicate analysis clearly, detailed, and practically

- Passion for learning and staying current on analytics developments

- Biotech / Pharma experience

- Doctorate degree and 2 years of data science and/or analytics experience

- Or Master's degree and 6 years of data science and/or analytics experience

- Or Bachelor's degree and 8 years of data science and/or analytics experience


Randy Stralen

Senior Recruitment Consultant


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