Senior Data Scientist at Thrive Global

Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 125 organizations in over 140 countries, from frontline and call center workers to executives at multinational companies.


As a Senior Data Scientist, you will be empowering Thrive’s cross-functional team of engineers, analysts, product managers, and stakeholders to leverage technology and data to make mission-critical decisions. You will be a foundational member of our team of data scientists, ML engineers, and data engineers and weave data-driven insights throughout Thrive’s product. You’ll define new metrics, develop and share key strategic insights, evaluate and oversee the efficacy of model outputs, and drive impact across the product team. 
This role is Remote and open to candidates in UTC+1 to UTC -5 
This role is open to Senior data scientists and above, Staff / Principal variants exist for the right candidates.


If you’re not sure that you’re 100% qualified, but this sounds like a role you would Thrive in – we want you to apply! We believe skills are transferable and passion for our mission goes a long way.




Who You Are:

A hands-on contributor who enjoys working with stakeholders to identify and improve the status quo; someone who is passionate about using data for positive behavior change.
A thought leader in data science, who has big ideas and the capability and tenacity to see them through to production working with engineering, data and product.
A skilled communicator who can make recommendations by clearly articulating value and tradeoffs.
Someone with a strong knowledge and experience in statistics and relevant programs, languages and tools Python/R and SQL.
A professional who manages time and prioritizes effectively to meet deadlines.
Someone who is energized by the dynamics of a start-up environment, demonstrating flexibility, resourcefulness and high energy to get work done.





How You'll Contribute:

Develop a deep understanding of all the data relevant to the problem to be addressed. Establish deterministic and probabilistic linkages between data sources and develop ways to extract and summarize the sought information in the data using a wide variety of statistical, data mining and machine learning techniques.
Comprehend our available data, identify usable data, and propose data collections we should be thinking about..
Collaborate with product managers to drive strategy and execution to achieve product adoption objectives.
Help put in place the framework and mechanisms to share insights across the organization with the goal of keeping the customer at the center of everything we do and enabling faster, more informed decision-making.
Be a thought leader and go-to expert on data science and tooling.
Code deliverables in tandem with the engineering team.
Create prototypes of productizable ways to perform the analysis at scale, provide documentation and help educate your colleagues in different functions about the solution.





Must Haves:

Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
5+ years of experience building systems in a data scientist role; experience within a start-up environment is preferred.
Technical skills R/Python and SQL, and experience with business intelligence tools such as Tableau or Looker is a plus.
Strong domain knowledge of Bayesian modeling, causal inference, experimentation, and experimental methods.
Project management and prioritization experience, preferably with Data Engineering, Product Management, and Software Engineering teams.
Prior experience with fully integrating data science solutions into the business and operationalizing ML models with a consistent clear track record of delivery.





What We Offer:

Being part of a mission-driven company that’s truly making a difference in the lives of people around the world  
Ability to develop within the company and shape our growth strategy
A human-centric culture with a range of wellness perks and benefits
A competitive compensation package
Medical, dental and vision coverage + 401k program with company match
Generous paid time-off programs




Thrive’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.
 
Compensation for this role depends on level, and will likely fall in the $120K-140K range. We provide a competitive mix of salary, performance bonus, and equity

Thrive is deeply committed to creating a safe and welcoming work environment free of discrimination and harassment so that all employees can bring their whole selves to work.
Thrive is proud to ensure equal employment opportunity (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, gender identity, gender expression, sexual orientation, age, marital status, family or parental status, veteran status, or any other characteristic protected by applicable federal, state or local law.
Thrive is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please inform Thrive’s Recruiting team if you need any assistance completing any forms or to otherwise participate in the application process.