Job Description:
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.
We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.
Our data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other’s growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.
Fun facts about the Insights team:
- We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections
- The members of our team bring a diverse set of technical and cultural backgrounds
- Business decisions at Doximity are driven by our data, analyses, and insights
- We like to have fun – company outings, team lunches, and happy hours
About Doximity
We’re thrilled to be named the Fastest Growing Company in the Bay Area, and one ofFast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunities for you to make an impact—join us!
Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Job Responsibilities:
- Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects
- Show off your coding skills by creating data products from scratch and streamlining/automating existing code
- Leverage Doximity’s extensive data sets to identify and classify behavioral patterns of medical professionals on our platform
- Play a key role in creating both product- and client-facing analytics
- Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges – the choice is yours
- Learn from experienced mentors and build your technical and non-technical skill sets
Job Requirements:
- B.S. or M.S. in a quantitative field with 2-4 years of experience
- Decent knowledge of statistics and visualization
- Fluent in SQL and python. These skills are an absolute must
- Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)
- Excellent problem solving skills and a strong attention to detail
- Ability to manage time well and prioritize incoming tasks from different stakeholders
- Fast learner; curiosity about and passion for data
- Familiarity with Lean and Agile philosophies
- Data storage solutions: Snowflake, HDFS, Neo4j, Elasticsearch
- Workflow management: Airflow
Nice to haves:
- Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus
- Experience leveraging Apache Spark to perform analyses or process data is a plus
- We historically favor Python, Kafka, Spark, and MySQL (leveraging SQLAlchemy), but use other tools when appropriate for the job at hand
How To Apply:
Apply using the link in Custom Application URL
More Information
- Salary Offer To be arranged
- Experience Level 1-2-years, 3-5-years
- Education Level Bachelor's Degree, Master's Degree
- Working Hours To be arranged
- Job Application Via Custom Application Page
