Sr. Data Scientist

Remote

Applications have closed

Amwell

Amwell digitally empowers payers, providers and innovators, enabling an ecosystem of care that spans across in-person, virtual and automated care.

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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 Sr. Data Scientist will proactively identify, define and lead 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:

  • Identify and lead development of scalable and automated analytic processes and workflows
  • Identify and lead development of ETL data flows
  • Ensure quality and accuracy of data
  • Identify and lead development of novel data assets (e.g. data enrichment and integration) and metrics (e.g. feature engineering and data reduction)
  • Identify and lead development of statistical analyses; e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)
  • Identify and lead development and deployment of statistical/machine learning models
  • Identify and lead design and execution of experiments
  • Proactively identify and lead initiatives to improve processes for, and quality of, data assets and analytic deliverables
  • Identify and lead 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, Tableau, etc.)
  • Document programming scripts, processes, and deliverables
  • Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work

Qualifications:

  • Bachelors or higher in a Quantitative Analysis field (e.g. Mathematics, Statistics, Economics, Engineering, Computational Sciences)
  • 5+ years of experience as a data scientist/applied statistician (e.g. building advanced statistical and machine learning models)
  • 5+ years of SQL, including complex queries of multiple data sources
  • 5+ years of developing scalable and automated ETL processes
  • 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
  • 3+ 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

Working at Amwell

Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. To make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. 

Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.

Amwell cares deeply about and supports Diversity, Equity, and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce, and our community.

Amwell is a "virtual first" workplace, which means you can work from anywhere, coming together physically for ideation, collaboration, and client meetings. We enable our employees with the tools, resources, and opportunities to do their jobs effectively wherever they are!  Amwell has collaboration spaces in Boston, Tysons Corner, Portland, Woodland Hills, and Seattle.

  • Unlimited Personal Time Off (Vacation time)
  • 401K match
  • Competitive healthcare, dental and vision insurance plans

Tags: AWS Data analysis Data visualization Economics EDA Engineering ETL Feature engineering JavaScript Looker Machine Learning Mathematics ML models NLP PHP Python R SQL Statistical modeling Statistics Tableau

Perks/benefits: 401(k) matching Career development Health care Unlimited paid time off

Region: Remote/Anywhere
Job stats:  10  1  0
Category: Data Science Jobs

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