Manager/Senior Manager - Data Science (1311)

Axtria, Inc.

Thousand Oaks, CA · HybridJob$120–164K/yrSeen todaySeen in employer's feed today

Thousand Oaks, CAHybridJob$120–164K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation

$120–164K/yr

Location

Thousand Oaks, CAHybrid

Work Authorization

Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Axtria seeks a data science manager or senior manager to build machine learning models and pipelines for pharmaceutical commercial use cases. The role covers patient journey and HCP modeling, longitudinal data integration, model evaluation and explainability, and translating analytical findings for commercial stakeholders. The position is based in Thousand Oaks and requires working at the client site three to five days per week.

Skills & qualifications

RequiredNice to have

Skills

PythonPySparkPyTorchTensorFlowAWSAzureTransformer ArchitecturesSequence Modeling

Qualifications

5+ Years Data Science Experience

Full job description

Company Overview:

Axtria is a leading global provider of cloud software and data analytics tailored for the Life Sciences industry. Since our inception in 2010, we have pioneered technology-driven solutions to revolutionize the commercialization journey, driving sales growth, and enhancing patient healthcare outcomes. Committed to impacting millions of lives positively, our innovative platforms deploy cutting-edge Artificial Intelligence and Machine Learning technologies. With a presence in over 30 countries, Axtria is a key player in delivering commercial solutions to the Life Sciences sector, consistently recognized for our growth and technological advancements.

Job Description:

Responsibilities will include:

Build and optimize ML models for pharma commercial use cases, including patient journey modeling, patient identification, treatment progression, churn prediction, HCP targeting, and Next Best Action (NBA).
Develop advanced deep learning and sequence models, including Transformers, LSTM/GRU, and attention-based architectures, to analyze longitudinal patient journeys and temporal patterns.
Design HCP/patient-level datasets by integrating claims, lab, specialty pharmacy, hub, CRM, promotional, and sales data, with strong expertise in temporal feature engineering and sequence preparation.
Apply traditional ML techniques (XGBoost, LightGBM) alongside deep learning, focusing on model evaluation, benchmarking, and explainability (SHAP).
Build end-to-end ML pipelines using Databricks, PySpark, SQL, and MLflow, covering data engineering, model training, validation, monitoring, and deployment.
Translate complex analytical findings into actionable insights for brand, sales operations, and commercial stakeholders.

Required skills and experience:

5+ years of hands-on experience in data science, preferably US pharma/biotech
Strong Python, PySpark, PyTorch/TensorFlow, and AWS/Azure skills.
Practical experience in Transformer architectures and sequence modeling

Logistics and Location:

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Position is based out of Thousand Oaks and the candidate need to be at the client site 3-5 days per week

Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.

The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.

How this job compares

Set against the 2,028 open Machine Learning jobs on Olive Jobs, counted October 28, 2026.

Pay: This posting$120–164K/yr
California median$192–286K/yr356 salary ranges
US median$154–260K/yr1,483 salary ranges
This range's midpoint, $142K, is 40% below the California median midpoint ($238K) — in the lowest quarter of Machine Learning salary ranges in California.
Openings: Olive Jobs lists 500 open Machine Learning jobs in California and 2,028 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in California: Apple33 open
Google26 open
Amazon23 open
Experience: This posting asks for at least 5 years of experience; Machine Learning postings that state a minimum ask for 5 years at the median (1,504 postings).
Education: 842 of the 2,028 open Machine Learning jobs (42%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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