Data Scientist – Customer Facing (Curia)

Washington, DC /
Curia – Data Science /
Full-Time
The Data Science Team at Curia.ai (a Foundry.ai portfolio company) is seeking a Data Scientist.

The Company

Curia.ai is a startup focused on delivering measurable business and clinical value through the implementation of practical AI. We use cutting-edge ML and Causal Inference to forecast health risks and the effectiveness of treatments on an individual patient basis. We partner with healthcare providers, ACOs, and insurers to deliver our recommendations to doctors, who then target care based on our insights.

Curia.ai is part of Foundry.ai, a technology fund & studio that creates AI software companies in partnership with large global enterprises. Foundry’s operating companies focus on practical applications of AI that cut through the hype cycle and drive immediate, measurable, and recurring results. Foundry is backed by approximately $100MM in capital from leading private equity and venture capital partners.

The Team

Curia's team is close-knit and is aiming to grow as we grow our business. You'll have the opportunity to contribute to the design and implementation of our products and to the direction and aspirations of the company as a whole. 
 
At Curia, you will have the opportunity to work closely with all segments of our team, from the data scientists who design and implement our ML models, to the engineers behind the Curia AI Platform, to the business strategists who market our products. We practice maximum transparency and direct communications across the company.

The Position

The Data Scientist will play a key role in helping prospective and active customers achieve significant value from Curia’s Healthcare AI platform, and advancing the platform’s analytical rigor and capabilities. You should be ready to both get a deep understanding of the Healthcare industry and apply tools like Databricks, AWS Athena, Python, SQL, and Jupyter Notebooks for achieving these goals.
 
The ideal Data Scientist is comfortable exploring and manipulating data, creating and applying machine learning models, and communicating nuanced results to customers. The Data Scientist will work closely with software engineering and product management colleagues, as well as client stakeholders and executives.

In this role you will be expected to:

    • Contribute to the development of new machine learning models and processes
    • Process customer data to work with Curia’s existing AI tools and models, and assist clients in utilizing Curia’s software platform 
    • Interpret healthcare machine learning modeling results for statistical and economic viability
    • Deeply understand customers’ challenges and Healthcare industry trends, and consult on how Curia’s data and AI assets can help customers achieve better clinical and economic outcomes
    • Present analytical and operational findings to client executives 
    • Build and maintain strong, long-lasting relationships with Curia’s clients

Successful Candidates will have:

    • Bachelor's Degree in Computer Science, Math, Data Science, Business, or Public Health; and 2-5 years of relevant experience
    • Familiarity with general-purpose machine learning methods, such as regression, decision trees, neural networks, and Gradient Boosting, Bayesian networks, etc.
    • Experience using scripting languages, SQL/Python, and relational or NoSQL databases
    • Passion for using data to drive strategy and business recommendations and communicating complex data-driven findings to decision-makers
    • Excitement to move fast, prioritize, and make critical decisions based on input from leadership and clients
    • Excellent problem-solving skills, with a strong emphasis on developing robust models and scalable processes
    • A self-starter mentality with a strong desire to win
Benefits and Culture

Curia offers an extremely competitive compensation package, including equity, employer-covered health/vision/dental insurance (with an optional FSA), and 401k matching. Employees receive a generous PTO allowance, and can work both remotely and from our office in downtown Washington, D.C. Successful candidates will join a small team of ambitious, supportive co-workers with ample opportunities to take on responsibilities beyond their assigned role. 

For additional information on benefits & what it's like to work at Curia, please visit curia.ai/careers

Finally, we highlight that excellence has no single mold, particularly in a field as rapidly evolving as AI. We're looking for excellent candidates of all backgrounds with strong business intuition and coding skills, and welcome applicants regardless of ethnic/national origin, gender, race, religious beliefs, disability, sexual orientation or age.

A Note on the Interview Process

Curia.ai interviews share some common features with other technical hiring processes and have some important differences. These reflect the unique roles our employees play, which often involve early-stage development of products and environments where idea generation, product-market fit, and partner interaction may be significant aspects of their jobs. 

All our roles have technical interviews that test core machine learning competencies, ability to discuss technical work, formalize generic problems into a quantitative system, problem-solve, and act as part of a team. 

We also ask case-study interview questions, which are less common for technical roles. Case studies are open-ended business problems that do not have set correct answers. They require the interviewee to consider the provided information, decide what is most important, and then build a structure to answer the key questions in discussion with the interviewer. We've incorporated these into our process because Curia.ai is, similarly, working on problems that haven't been solved before without single correct answers. These challenges require business acumen, problem-solving  skills, and the ability to think on your feet and prioritize information and actions.

Our staff will often describe this unique mindset as not only wanting to write the code to solve a problem but also being able to define the problem that we are solving — and our interview process is designed to help employees showcase their skills in this vein.