Data Scientist at Amwell

Company Description
Amwell is a leading telehealth platform in the United States and globally, connecting and enabling providers, insurers, patients, and innovators to deliver greater access to more affordable, higher quality care. Amwell believes that digital care delivery will transform healthcare. The Company offers a single, comprehensive platform to support all telehealth needs from urgent to acute and post-acute care, as well as chronic care management and healthy living. With over a decade of experience, Amwell powers telehealth solutions for over 2,000 hospitals and over 55 health plan partners with over 36,000 employers, covering over 80 million lives.
Brief Overview:
Working closely with cross-functional business partners, the Data Scientist will support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
The ideal candidate is a self-starter with insatiable curiosity.  S/he must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.
Core Responsibilities:

Support development of scalable and automated analytic processes and workflows
Support development of ETL data flows
Ensure quality and accuracy of data
Support development of novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
Support development of statistical analyses, e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)
Support development and deployment of statistical/machine learning models
Support design and execution of experiments
Support initiatives to improve processes for, and quality of, data assets and analytic deliverables
Support development of analytic insight that drive product innovation, operational and client performance, and industry trends
Analyze data for anomalies and early indication of bugs in deliverables
Build intuitive and modern analytic products, including incorporating data visualization best practices
Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, R, Python, Looker, Tableau, Power BI, etc.)
Document programming scripts, processes, and deliverables
Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work

Qualifications:

2+ years of experience as a data scientist/applied statistician building advanced statistical and machine learning models
Strong forecasting and modeling experience is required
Intermediate to Advanced proficiency with R is required
Proficiency with Python or other high level data analytic programming languages
2+ years of SQL, including complex queries of multiple data sources
2+ years of developing scalable and automated ETL processes
Knowledge of BI tools (e.g. Tableau, Looker, Domo) is a plus
Capable of working on multiple projects and context shift quickly in a fast-paced environment
Ability to translate incomplete or immature objectives into well- defined requirements
Excellent verbal and written communication
1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
Familiarity with the health care industry is a plus

Additional information
Working at Amwell
We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a go-getter culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. Amwell is headquartered in Boston, MA with additional offices in Reston, VA and Seattle, WA.  In addition to the opportunity to build the future of healthcare technology, we offer:

Unlimited Paid Time Off
401K match
Competitive health, dental and vision insurance plans
The equipment and resources needed to be successful working in a remote setting