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Data Scientist
Posted on 6/29/2022
INACTIVE
Locations
Remote • Pittsburgh, PA, USA • Everett, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Git
R
Pandas
SQL
Tensorflow
Python
PowerPoint/Keynote/Slides
Excel/Numbers/Sheets
Requirements
  • Familiarity with Python in the context of a complex application, such as statistics, machine learning, or application design
  • Experience using machine learning tools, such as TensorFlow and scikit-learn, and other data science toolkits like pandas and stats
  • At least three years experience in the sciences as a researcher, with personal experience in experimental design, statistical testing, and exploratory data analysis. This can include: Recent (or near completion of) graduate program requiring substantive research in a field requiring quantitative/statistical analysis; Researcher or data scientist with at least three years experience in a program or organization focusing on quantitative/statistical analysis
  • Solid communication skills, including the ability to document and effectively describe work for multiple audiences and generate descriptive figures
  • Desire to think concretely about new fields and unusual ideas
  • The ability to move fast and slow… To take the time to confirm understanding, to consider options, to communicate process, to test results. And the ability to do so and act on those considerations in a limited and defined timespan
  • Familiarity with Excel as a data exploration tool or comfort with an equivalent option
  • Knowledge of professional productivity tools, such as Word, Excel, Powerpoint, etc
  • Experience and/or knowledge in a field of health care, such as healthcare IT, medical research, or epidemiology
  • Strong capabilities in SQL, Python, AWS tools and git
  • Experience using statistical programming tools such as Python and R
  • Experience in solving optimization problems: both convex and nonconvex
  • Experience in building a product and taking ownership
  • Proven coordination between colleagues and consultation with peers when diving into a project
  • Freedom to leverage the vast array of data science tools on one of the biggest healthcare databases to enhance the healthcare experience
  • Work closely with fellow data scientists and product managers to develop your career
  • Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
  • A flexible, remote friendly company with personality and heart
  • Employee driven programs and initiatives for personal and professional development
  • Be a member of the Arcadian and Barkadian Community
Responsibilities
  • Building and testing new predictive tools
  • Performing exploratory data analysis on extremely rich health care datasets
  • Evaluating opportunities for new products; Creating effective documents and visuals to share your knowledge and insights with others - Both within Arcadia, among our customers, and to the general public
  • Begin building your own portfolio of tools and programs as a cohesive body of work that will help you grow the team and your own career over time
Arcadia

201-500 employees

Energy tech company
Company Overview
Arcadia's mission is to stop climate change by breaking the fossil fuel monopoly. Their technology is lighting a cleaner path forward for everyone, from everyday consumers and small businesses to the innovators building the next generation of energy products.
Benefits
  • Competitive compensation and paid time off
  • Comprehensive medical, dental, vision, and FSA plans
  • Paid parental leave for everyone
  • Remote work opportunities
  • Professional development and ongoing feedback
  • Company stock options and 401(k)
  • Snacks, beverages, and regular lunches in the office
  • On-site gym, new parent, and wellness rooms in DC
  • Commuter benefits and secure bike storage
  • 100% clean energy match for all employees
Company Core Values
  • Build for good
  • Build for all
  • Build with urgency
  • Build for simplicity
  • Build togethere