Data Scientist
Remote
Amwell
Amwell digitally empowers payers, providers and innovators, enabling an ecosystem of care that spans across in-person, virtual and automated care.Amwell, a leading telehealth platform in the United States and globally, seeks a highly motivated Data Scientist. Amwell believes that digital care delivery will transform healthcare. We offer 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 150 health systems comprised of 2,000 hospitals and 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 independently wrangle data, conduct statistical analyses, and uncover analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
The ideal candidate is a self-starter with insatiable curiosity. The incumbent 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:
- Develop scalable and automated analytic processes and workflows
- Independently develop ETL data flows
- Ensure quality and accuracy of data assets and analytic deliverables
- Develop novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
- Identify and lead development of analytic insight that drive product innovation, operational and client performance, and industry trends
- Conduct statistical analyses, e.g., exploratory data analysis, unsupervised and supervised learning, and statistical modeling (including machine learning)
- Deploy statistical/machine learning models
- Conduct experiments
- Proactively identify and lead initiatives to improve processes for, and quality of, data assets and analytic deliverables
- 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, GCP, R, Python, Tableau, etc.)
- Document and check-in programming scripts, processes, and deliverables
- Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work
Qualifications:
- 3+ years of experience as a data scientist/applied statistician (e.g., building advanced statistical and machine learning models)
- 3+ years of SQL, including complex queries of multiple data sources
- 2+ years of developing scalable and automated ETL processes
- 1-3 years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
- Intermediate to advanced knowledge of mathematical statistics
- Expert level proficiency with R, Python, Stata, or other high level data analytic programming languages
- Expert level data visualization skills
- Basic to intermediate proficiency with general purpose programming languages (e.g., JavaScript, VB, PHP, C++)
- Knowledge of BI tools (e.g., Tableau, Looker, Domo) is a plus
- Knowledge of NLP 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
- Familiarity with the health care industry is a plus
- Bachelors or higher in a Quantitative Analysis field (e.g., Mathematics, Statistics, Economics, Engineering, Computational Sciences)
Working at Amwell
Amwell is changing how care is delivered through online and mobile technology. We make online doctor visits accessible to everyone for one-off care issues like colds or infections, and chronic condition management, such as diabetes or depression. We make the challenging work of healthcare looks easy and requires a mission-driven mentality. We are a “go getter” culture that prides itself on smarts, initiative, creative thinking, and a strong work ethic.
Our corporate headquarters are in downtown Boston at 75 State Street – in the heart of the city. In addition to the opportunity to build the future of healthcare technology and a terrific location, we offer:
- Unlimited Personal Time Off (Vacation time)
- 401K match
- Competitive healthcare, dental and vision insurance plans
- Free gym access – on-site
- Prime office space with views overlooking all of Boston
- Complimentary snacks and drinks
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Data analysis Data visualization Economics EDA Engineering ETL Feature engineering GCP Healthcare technology JavaScript Looker Machine Learning Mathematics ML models NLP PHP Python R SQL Statistical modeling Statistics Tableau
Perks/benefits: 401(k) matching Career development Fitness / gym Health care Unlimited paid time off
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