Published date Posted on Indeed on Oct 01, 2021 (19 d ago)
EXOS is a leader in the field of human performance, a category it created more than 20 years ago. For two decades we’ve stood side by side with the very best, coaching individuals, teams, and communities to higher levels of performance. And we’ve done it all by pioneering and leveraging sports science and proprietary tools across mindset, nutrition, movement, and recovery.
Today, EXOS employs more than 4,000 people in over 400 locations worldwide. With award-winning facilities, sports medicine clinics, technology, and services, EXOS connects people to the solutions they need. We provide comprehensive game plans, regardless of skill and sport, based on time-tested fundamentals and research in order to help people take control of their health and performance. EXOS is trusted by hundreds of clients including leaders in business, technology, health, community organizations, and world champions in sports. Now we’re leaning into our rich heritage to move the brand forward. In 2020, EXOS founder and president Mark Verstegen brought on industry vet Sarah Robb O’Hagan as CEO to lead the company into its next chapter.
Culturally, we promote and reward humility, one team and tenacity as some of our core values and we are committed to cultivating an inclusive work environment where all of our team members feel empowered to grow and bring their whole selves every day. We celebrate the diverse voices and perspectives of our team members, knowing that diversity of age, race, ethnicity, gender identity, sexual orientation, veteran status and national origin, among other social identities, drive innovation, belonging and fuel our work.
Job Summary:
We are looking for an experienced, hands-on Data Scientist who can work with other data scientists in designing, executing, and delivering solutions based on advanced data modeling and mathematical approaches. Your work will help drive user research, product feature development, and will help optimize member engagement at EXOS.
Job Description:
WHAT YOU’LL DO
  • Provide cross-functional data science leadership at the intersection of analytics, data engineering, machine learning, product, design, software development, and performance/coaching teams.
  • Support and conduct user research to enrich new products at EXOS
  • Play a large role in designing, implementing, and evaluating hypothesis-driven A/B tests and experimentation.
  • Hands-on work with preparing raw data for machine learning and other advanced analytics.
  • Hands-on collection, transformation, and labeling/tagging of both structured and unstructured data.
  • Comfortably scripting a POC with minimal/thoughtful technical debt, then pivoting to script production-level code.
  • Familiarity with open-source and cloud-managed services common in data science, data engineering, and machine learning, particularly within AWS.
  • Familiar with best practices in CI/CD.
  • Set quarterly OKRs to monitor the results of your data science initiatives, and communicate those results out to stakeholders and leadership.
  • Work through ambiguity, with an ability to work to tight deadlines, and lead multiple complex initiatives.
  • Document and communicate processes and things learned to facilitate knowledge sharing across the team.
  • Participation in stand-ups and code reviews.
  • This role will report to the Head of Machine Learning & Data
WHAT SKILLS YOU HAVE
  • Experienced working with consumer-facing mobile and/or web apps
  • An established history with advanced data science and/or machine learning modeling, and a proven track record of building data-driven products in the consumer space
  • Know how to work with high volumes of heterogeneous data, preferably with distributed systems on the AWS platform.
  • Superior understanding of database query languages and substantial knowledge in analytical approaches.
  • Expertise with data mining and visualization techniques, ability to apply context to data, and strong ability to communicate the data (verbal and written).
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Knowledgeable about data modeling, data access, and data storage techniques.
  • Understand the value of partnership within and across teams.
  • Care a lot about fostering a diverse culture that includes everyone and supports them being their authentic self. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our customers.
  • Strong agile team management skills using Kanban or Scrum
  • An established process for research, discovery, experimentation, and validation.
#LI-Remote
REQUIRED QUALIFICATIONS
  • Bachelor’s degree in a technology-related field (data science, computer science, software engineering, etc.), with 3+ years’ data science experience.
  • Experience with data processing software and/or algorithms.
  • Experience in writing software in one or more languages: Python, Scala, and/or Java
  • Experience in SQL.
  • Experience managing projects, troubleshooting technical issues, working with cross-functional stakeholders.
  • Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.
  • Excellent verbal and written communication skills.

PREFERRED QUALIFICATIONS
  • Hands-on experience in big data, information retrieval, data mining and/or machine learning.
  • Experience architecting, developing software, or internet scale data solutions in virtualized environments.
  • Experience establishing, managing to, and working towards OKRs.
  • Reflective, independent and eager learner (e.g., learns from mistakes, asks good questions, able to generate creative solutions to problems with minimal guidance).
  • Detail-oriented with an ability to effectively multi-task in a deadline-driven atmosphere.
  • High levels of integrity, autonomy, self-motivation and ability to work well in a team.
  • Experience in health, fitness, wellness, etc.
HOW TO APPLY
Please submit your resume and cover letter, tell us why you want to work at EXOS and explain what excites you about this role.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
We are an equal opportunity employer

EXOS is proud to be an affirmative action / equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, veteran status, or any other status protected under local, state, or federal laws. EXOS provides reasonable accommodation to employees and applicants for employment who have disabilities. You may request reasonable accommodation, in writing, by reaching out to our People Operations department at:
Attention: People Operations, Accommodations
2629 E. Rose Garden Ln.
Phoenix, AZ 85050
Learn more here:
  • EEO is the Law
  • EEO is the Law Supplement

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