Data Scientist at Arcadia

Based on the evolving situation with Covid–19 we are mostly remote, this includes the hiring process. We are in the process of moving to a hybrid of onsite and remote with some positions remaining 100% remote.

Why This Role Is Important To Arcadia

Arcadia’s Office of Data Science supports Arcadia and our customers through development of new and powerful tools based on advanced and predictive analytics. These tools are intended to provide novel approaches to solving problems that are too complex or too onerous to manage through existing technology, but too important to leave inadequately addressed.

Our objective is not just to create tools but to also offer direction on how predictive analytics can and should be used, in a way that both supports our customers’ business objectives and directly promotes the health and dignity of the patients whose data are in our care.

As a Data Scientist, you are central the success of the mission of the Data Science team. Our Data Scientists have a broad range of responsibilities that both support the continuing growth of our team’s portfolio as well as their own growth as scientists and as professionals. Our expanding set of programs require thoughtful individuals who not only embrace the critical value of effective data analytics but also the value of scientific rigour around their development. 

What Success Looks Like
In 3 months
You’ve been with Arcadia for three months and the “firehose” is starting to let up a bit. Fortunately, you’ve had some time to familiarize yourself with Arcadia’s data tools and capabilities. You’ve developed an understanding of the Arcadia’s standard data model and can now generate data extracts for your own experiments and testing. That involved a number of different directed efforts, many of which had unexpected results. By reviewing those results with your colleagues on the Data Science Team, your understanding of the data relationships has improved, and you’ve also become more comfortable and adapt to communicating and collaborating with the Data Science Team. Under the direction of the team lead, and by applying appropriate literature review and modeling techniques, you’ve developed an initial product prototype ready for validation by and review with the Data Science Team. 

In 6 months
You’ve been with Arcadia for six months and have become much more familiar with the various teams and structures at Arcadia, allowing you far more independence in seeking advice and consulting on projects. You’ve assisted your colleagues on the Data Science team with a couple analyses and have been asked for your thoughts on some new ideas in development. You have also advanced one of your own initial designs to the stage where it should be ready for high-level review with the Product Team. You’ve been preparing a presentation and talking points with your colleagues in anticipation of that review. You’ve also become more familiar with Arcadia’s complete product and tool suite, which helps you prepare to place you work in the context of the full product suite and has allowed you to have substantive conversations with your team about how your expertise can improve on Arcadia offerings, products, and operations.  

In 12 months
You’ve been with Arcadia for twelve months and have become far more confident in self-driven research and development. Under the direction of the team lead, you are taking on projects ranging from small updates to complete start-to-finish development. You productively collaborate with Arcadians in new development and responding to existing issues. You are beginning to take on relationships with customers who make use of Data Science products/offerings, with the ability to respond both to requests for support as well as refinement of enhancements to existing products. You are also in the midst of the release process for an offering that you substantially developed yourself, including working with your colleagues to develop user and technical documentation, sales and marketing materials, and internal implementation guidelines, and are having strategic discussions with the Product leadership about what you would like to create in the next twelve months.



What You'll Be Doing

Building and testing new predictive tools 
Performing exploratory data analysis on extremely rich health care datasets 
Evaluating opportunities for new products; Creating effective documents and visuals to share your knowledge and insights with others - Both within Arcadia, among our customers, and to the general public
Begin building your own portfolio of tools and programs as a cohesive body of work that will help you grow the team and your own career over time



What You'll Bring

Familiarity with Python in the context of a complex application, such as statistics, machine learning, or application design
Experience using machine learning tools, such as TensorFlow and scikit-learn, and other data science toolkits like pandas and stats
At least three years experience in the sciences as a researcher, with personal experience in experimental design, statistical testing, and exploratory data analysis. This can include:  Recent (or near completion of) graduate program requiring substantive research in a field requiring quantitative/statistical analysis; Researcher or data scientist with at least three years experience in a program or organization focusing on quantitative/statistical analysis 
Solid communication skills, including the ability to document and effectively describe work for multiple audiences and generate descriptive figures
Desire to think concretely about new fields and unusual ideas
The ability to move fast and slow… To take the time to confirm understanding, to consider options, to communicate process, to test results. And the ability to do so and act on those considerations in a limited and defined timespan
Familiarity with Excel as a data exploration tool or comfort with an equivalent option
Knowledge of professional productivity tools, such as Word, Excel, Powerpoint, etc.



Would Love for You to Have

Experience and/or knowledge in a field of health care, such as healthcare IT, medical research, or epidemiology
Strong capabilities in SQL, Python, AWS tools and git
Experience using statistical programming tools such as Python and R
Experience in solving optimization problems: both convex and nonconvex
Experience in building a product and taking ownership
Proven coordination between colleagues and consultation with peers when diving into a project



What You'll Get

Freedom to leverage the vast array of data science tools on one of the biggest healthcare databases to enhance the healthcare experience
Work closely with fellow data scientists and product managers to develop your career
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development 
Be a member of the Arcadian and Barkadian Community 



About Arcadia
Arcadia.io helps innovative healthcare systems and health plans around the country transform healthcare to reduce cost while improving patient health.   We do this by aggregating massive amounts of clinical and claims data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time.  We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as the market leader in the highly competitive population health management software and value-based care services markets, and we have been recognized by industry analysts KLAS, IDC, Forrester and Chilmark for our leadership. For a better sense of our brand and products, please explore our website, our online resources, and our interactive Data Gallery.

This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.