About AbleTo

Join our mission-driven organization, where your work matters and a diversity of ideas and backgrounds are welcomed. AbleTo is the leading provider of high quality, technology-enabled behavioral health care. We believe that everyone deserves access to high-quality care and offer a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals with AbleTo highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Our outcomes-focused approach is proven to improve both behavioral and physical health and lower medical costs.

The Data Science team at AbleTo develops and deploys models to support key business operations:  1) using healthcare claims history to predict patients who could benefit from our programs; 2) use operational data to optimize provider network and call center workflows; 3) support business stakeholders with data-driven insights, and 4) build other data products as needed. The Data Science team works closely with the Data Engineering team who ingests data received from clients and implements new clients and new data sources.

Members of the Data Science team are

• Highly collaborative & greatly appreciated across the company.

• Thrive in a team environment and focus on the success of the team and company.

• Both technically and strategically savvy. 

• Focus on building well-designed solutions and preserving quality control. 

• Passionate about the advancement of technology and how it can innovate the workplace.

• Striving to work smarter, not harder.

What You'll Do

The MLE will work closely with the Data Scientists, Data Engineers, and DevOps, to lead the effort to optimize and deploy the feature engineering prototypes and targeting models into production. The primary responsibilities of this role include:

• Hands-on development and deployment of data science artifacts into production workflows and business applications.
• Establish best practices for code management. Adhere to requirements for scalability, performance, and availability.
• Optimize data science prototypes to production quality code.
• Monitor and maintain models in production.
• Produce code artifacts and documentation for reproducibility.
• Contribute to the design, implementation, and evaluation of ML models in production.
• Prototype new ML workflows on Google Cloud Platform.

Who You Are

• Masters or PhD in Computer Science, Electrical Engineering, Operations Research, etc.
• High proficiency in Python, Linux and cloud computing
• High proficiency in DevOps and MLOps tools, such as git, Docker, Kubernetes, Airflow, Kubeflow, etc.
• Skilled in data processing using PySpark, Pandas, and SQL
• Solid knowledge in machine learning algorithms. High proficiency in distributed machine learning using xgboost, scikit-learn, etc. 
• Fluent written and verbal communication
• Team player and self-starter, thrives in cross-functional environments
• Experience with deploying ML models on Google Cloud Platform is a plus
• Industrial model production experience is a plus

Why You Should Join Our Team

We take pride in putting people first above all, including our own team members. We provide our team, and their families, with a wealthy benefits package to care for their physical, financial, and professional health, equipped with medical, dental, and vision benefits, a generously-funded Health Reimbursement Account (HRA), no-cost mental health support, gym membership reimbursement, 401K matching, and plenty more. Our “One Team” approach to fostering our culture has built an environment of mutual respect, empathy, and transparency (with a little bit of fun!). We empower people of all backgrounds to excel at AbleTo. Employee Resource Groups (ERGs) are just a part of our Inclusion, Equity, and Diversity initiatives. Our unique approach to career development is simply that: unique to you. No two people are alike, and neither should be their growth plan, which is why we work with each employee to design an individual development path. We hope you’ll join our team to empower people to get better and stay better, every day.

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