Data Scientist / Sr. Data Scientist - Advanced Analytics (1160)

Axtria - Thousand Oaks, CA

Full-time - Mid Level

Thousand Oaks, CA

Professional, Scientific, and Technical Services

About the position

The Data Scientist / Sr. Data Scientist position at Axtria focuses on managing consulting projects within the Decision Science practice, specifically delivering advanced analytics solutions tailored for the Life Sciences industry. The role requires a strong understanding of analytics applications in the Biopharma domain, including Brand Analytics, Real World Data Analytics, and Marketing Analytics. Candidates will lead a team, work closely with clients, and ensure high-quality project delivery while leveraging various data sources and analytical tools.

Responsibilities

• Lead and mentor a team of 4-5 team members.
• Directly work with senior clients in a highly consultative and responsive manner to deliver high-quality analytical solutions.
• Manage projects ensuring exceptional quality, timely delivery, and client satisfaction.
• Develop detailed analysis plans tailored to business problems using a structured approach.
• Lead discussions with clients, identifying business problems and building consensus during project delivery.
• Understand various datasets such as LAAD, XPO, NPA, and promotional data.
• Communicate effectively both verbally and in writing, presenting findings clearly.

Requirements

• 6-10 years of relevant work experience with 2+ years of US local experience in pharma analytics.
• Knowledge of the Biopharmaceutical domain, with preferred experience in Oncology, Inflammation, Cardio, and Bone therapeutic areas.
• Exposure to syndicated data sets including Claims and EMR/EHR data, and experience working with large data sets.
• Strong quantitative and analytical skills, with knowledge of statistical concepts and predictive modeling/machine learning.
• Ability to frame and scope business problems, design solutions, and deliver results.
• Excellent spoken and written communication skills, including visualization and presentation skills.
• Expertise in analytical tools such as R/Python, Alteryx, and Dataiku.

Nice-to-haves

• Experience in digital marketing analytics.
• Familiarity with campaign effectiveness and marketing mix optimization.

Benefits

• Health insurance
• Flexible spending accounts
• 401k with company match
• Performance-based compensation packages including salary and bonus