Doximity

Staff Data Scientist, AI/ML

Doximity$170K — $248K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience as a Data Scientist or similar role with complex datasets.
  • Advanced knowledge of statistical concepts like exploratory data analysis and experimental design.
  • Strong grasp of modern machine learning techniques including deep learning and LLM fine-tuning methods.
  • Experience designing, training, and evaluating large models with PyTorch or TensorFlow.
  • Proficient in SQL for writing and optimizing complex queries.
  • Advanced Python skills including OOP and modern libraries for data science.
  • Experience with distributed data processing tools for scalable analysis.

Responsibilities

  • Leverage extensive datasets to optimize AI products for medical professionals.
  • Create product and client-facing analytics to enhance user experience.
  • Collaborate with product leaders to inform and execute data team strategy.
  • Drive data projects from ingestion to analysis and recommendations within a cross-functional team.
  • Translate technical insights into clear narratives for stakeholders.

Benefits

  • Medical, dental, and vision coverage for employees and their families.
  • 401k with a matching program.
  • Employee stock purchase plan.
  • Family planning support, Childcare FSA, and parental leave options.
  • Life, AD&D, and disability insurance.
  • Generous time off, holidays, and paid company trips.
  • Wellness benefits and additional perks.
Full Job Description


Visa sponsorship is not available for this role.

Here's How You Will Make an Impact
  • Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for medical professionals on our platform.
  • Play a key role in creating both product and client-facing analytics.
  • Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.
  • Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.

About you
  • At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets.
  • Advanced knowledge of statistical concepts - particularly exploratory data analysis, experimental design, and probability theory.
  • Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT).
  • Proven ability to design, train, and evaluate large-scale models using frameworks such as PyTorch or TensorFlow.
  • Advanced SQL proficiency - skilled at writing and optimizing complex queries across multiple tables and data relationships.
  • Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries.
  • Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training.
  • Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders.
  • Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research.

Compensation

The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.

More on /Benefits/Perks

Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include:
  • Medical, dental, vision offerings for you and your family
  • 401k with matching program
  • Employee stock purchase plan
  • Family planning support, Childcare FSA, and parental leave
  • Life, AD&D, and Disability
  • Generous time off, holidays and paid company trips
  • Wellness benefits...plus many more!

About Doximity

Doximity is a social network for healthcare professionals. The company was founded in 2010 by Jeff Tangney and Shari Buck. Doximity's platform allows physicians, nurse practitioners, physician assistants, and other healthcare professionals to connect with each other, share knowledge, and collaborate on patient care. The company is headquartered in San Francisco, California and has over 1 million members. Doximity has been recognized as one of the fastest-growing private companies in America by Inc. Magazine and one of the best places to work in the Bay Area by the San Francisco Business Times.
Learn more about Doximity
Size
1,000 employees
Market Cap
$6.5 billion
Industry
Founded
2011
NASDAQ

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