At Carrum, we live and breathe the mission of transforming the healthcare system to create an unmatched experience for patients. If you are passionate about changing healthcare and want to finally get rid of surprise bills, poor quality, and high prices, while thriving in an entrepreneurial, cutting-edge environment, we would love to connect with you.  

In 2014 Carrum reinvented the Center of Excellence (CoE) category in digital health. We are the only company in this space with a digital platform and mobile app powering this novel marketplace. Today, most of the US population lives within a 3 hours driving distance of a Carrum CoE and our providers rank in the top 10% nationally. Our team’s execution has been recognized by the venture community and we’ve raised more than $50M in aggregate from investors like Tiger Global Management and Wildcat Ventures. Our impact has been externally proven in a 2021 RAND Corporation study and featured as a Harvard Business School (HBS) case study.

We are looking for a machine learning engineer with a strong combination of creativity, technical know-how and collaborative personality to join our growing Data Platform team. The ideal candidate is someone who has created and implemented data products using machine learning in production.

This position will enable automation, rapid insights, and a portfolio of data products for both internal teams and consumer facing software.  You will be creating the data foundation that is critical to our mission.

You’re excited about this opportunity because you will...

• Develop and own creative solutions to diverse questions that span data processing, data modeling, and machine learning model deployment for both internal and external stakeholders.
• Master the ins-and-outs of our healthcare datasets including medical claims, eligibility, and electronic health records.
• Work to develop and deploy models that help predict behaviors across both the consumer and provider sides of our marketplace. 
• Collaborate closely with internal and external stakeholders to properly understand data needs. Support pipelines for visualizations and ad-hoc data requests through efficient modeling and ETL.
• Be the model-deployment go-to person. You’ll work closely with the product and customer teams to identify critical modeling metrics and KPIs, and build systems to efficiently monitor them.
• Participate in the development of robust data foundation and infrastructure, implementing data architecture, ETL, reporting systems, and self-service tools as the company grows.
• Own end-to-end solutions to data problems including exploratory data analysis, model building, and productionalized ETL or model support. 

We’re excited about you because you have…

• BS with 3+ years, MS with 1+ years of experience, or a relevant PhD experience. Degree(s) should be in a technical discipline such as Computer Science, Engineering, Statistics, Physics, Math, quantitative social science, or comparable
• Always been consumer-centric in your work. Digital Health experience and dealing with healthcare data is desired but not required. If you’ve been working with data in e-commerce, consumer tech, B2C or membership-experience based business esp. at the startup/scale-up phase, that’s just as valuable for us.
• Ability to use SQL to munge and model data for efficient analysis and feature engineering.
• Hands-on experience with machine learning workflows from start to finish
• Strong experience with programming, ETL pipeline development, data wrangling, and automation in Python.
• Experience with production machine learning workflows: training, model evaluation, re-training criteria, deployments, and performance measurement. 
• Experience with common computational packages in the pydata stack: scikit learn, numpy, scipy, tensorflow/pytorch, pandas, etc.  
• Familiarity with automation and scripting solutions in a cloud computing environment (AWS, Azure, GCP).
• Database familiarity with OLAP or OLTP tools: Postgresql, Redshift, Snowflake, etc. for data warehousing.
• Experience gathering requirements from stakeholders and translating them into specifications and frameworks for software. 
• Ability to work under deadlines while balancing competing priorities.
• Excellent written and verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators.

Why you’ll love working with us...

• We’re a hard-working, humble, and compassionate group motivated to solve the hard problems in healthcare today. You’ll work with talented, experienced co-workers from companies like Booz & Company, Livongo, 98point6, Google, and Optum. We believe in using data to inform decisions, technology to make our jobs easier, and creative thinking to pave the future.
• We are working with some of the most recognized and esteemed names in the country. Top hospitals like Johns Hopkins, Mayo Clinic, Stanford Health Care, Scripps Health, and Rush Health have joined our platform. Employers who use our benefit include Walgreens, US Foods, United Airlines, and large public sector organizations like the self-insured schools of California, and the State of Maine. 
• We empower team members to be autonomous and provide a collaborative environment where you get support and healthy feedback. You can bring your authentic self to work every day and are encouraged to help others do the same.
• We carve out time to let go of work to celebrate our successes and have fun. We’re all working remotely right now, but prior to the pandemic a few of the monthly activities we enjoyed included group dinners, bowling, and hiking. Now we bring the fun online with holiday costume contests, arts and crafts activities, musical events, weekly meditations, and gratitude sessions.
• You’ll feel proud that the work you do each day directly impacts people’s lives in big and meaningful ways.