Data Engineer / Scientist - For New University Grads (Small, Fun Team 🤓)

❤️ Want to make a tangible difference in the future of healthcare?

❤️ Love applying the latest technologies to solve tough problems?

❤️ Looking for a fulfilling career with plenty of learning and growth?

You’re in luck! At Validate you get…

Tight knit team. Culture of learning. No bureaucracy. Room to experiment. Accelerated growth in responsibilities. Fantastic work experience. Frequent feedback.

We are a small team of data scientists, actuaries, programmers and healthcare policy analysts who love what we do and wouldn’t trade it for the world. Join us!

THE COMPANY 🤩

Validate Health provides financial simulation, economic forecasts and actuarial risk management guidance to healthcare providers, enabling them to thrive in the constantly evolving and complex world of value based care (VBC). Our mission is to enable these providers, known as accountable care organizations (ACOs), to focus on taking care of patients, while we take care of their highest impact strategic decisions.

JOB DESCRIPTION 😍

As a Data Engineer / Scientist you would be at the forefront of enabling new value based healthcare models and delivering constantly evolving analytics services to the industry. You’ll have an excellent opportunity for professional growth in the fields of healthcare economics, quantitative analytics and related technologies.

• Continuously learn by investigating new technologies and mentor other team members.
• Build complex data transformations and statistical models using Python, SQL, SAS.
• Leverage an ever evolving range of cloud services, data science libraries and database platforms, such as AWS (EC2, RDS, S3, Lambda, Redshift, Athena, Glue), Databricks/Spark, PostgreSQL, SparkSQL, Python, Pandas, PySpark, Apache Airflow, and DST.
• Ingest, transform, clean and augment internal and external data assets. Automate data pipelines to process. patient-level and aggregated public health data.
• Perform EDA, scenario modeling, forecasting and simulations on large datasets.

REQUIREMENTS 🤓

• Very important: You should be willing to go through our hiring process, which has been optimized to get an offer to qualified candidates quickly, while also giving you a feel for the type of work we do and the company culture. The steps in our hiring process: “Getting to Know You questions” form⇒Take home “Challenge” coding & math problems (1-4 hours)⇒4 interviews (~2.5 hours)⇒Paid micro project (4-8 hours) ⇒ Meet the Team Day (8 hours) ⇒ Offer!
• Desire to be an expert in healthcare economics and passionate about making an impact in this field
• Experience with AWS or other PaaS cloud services (such as AWS S3, RDS, Redshift, EMR, and Lambda) are a plus
• Experience with EDA (exploratory data analysis) using a variety of Python libraries or BI platform tools
• Experiencewith hands on SQL, writing complex data transformation queries and optimizing for performance on large scale data (Knowledge of Databricks or other Spark environments is preferred)
• BS or MS in Computer Science or Mathematics from a top university program. Experience with data science concepts, building statistical models deployed on scalable data platforms
• Solid understanding of data pipelines, processing parallelization, and ETL concepts.(Familiarity of the following items are optional, but preferred: Concepts used by ETL tools such as DBT and SSIS; Apache AirFlow and other job orchestration tools; Linux command line, shell utilities and Git / GitHub; Docker and environment management)

BENEFITS 🤑

• Opportunity for continuous personal growth and development through research projects and agile experimentation mindset towards product development
• Profit sharing bonus
• Health coverage and 401K
• Daily whiteboard sessions
• Weekly "deep thought" days
• Quarterly individual performance bonus
• Fully remote team with an environment and company culture that's optimized to provide a fulfilling work experience and career growth opportunities to every team member, regardless the location
• Generous Vacation Policy

TO APPLY 😇

• 🎗️ Our hiring process is designed to enable the best candidates to an offer in under 2 weeks. Talk to you soon!
• Send your resume to [email protected] (using subject line: “New Grad Data Engineer/Scientist via LinkedIn”) or via LinkedIn Messenger
• Tell us what makes you interested in this opportunity (💡 As much as we'd like to review all applications, doing this already sets you apart from most applicants and tells us you're truly interested.)If you have specific compensation requirements, please let us know.
• Specify when you’re available to start work and visa sponsorship requirements. Please specify your visa requirements.We accept H-1B transfers.We are not able to take on more OPT candidates. (We can only consider U.S.-based candidates.)