Senior Data Scientist Product at Earnin

ABOUT EARNIN:
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to $15 billion in earnings.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY:
This is a high impact role with a lot of excitement. You will have the opportunity to turn information into insights through analytics, data science, experimentation and help the company achieve tremendous growth. 
WHAT YOU'LL DO:

Work closely with product and engineering team to define key metrics and answer important questions 
Conduct analysis and opportunity sizing to find opportunities of improvement and turn hypothesis into actionable and well-designed experiments(A/B Testing)
Identify KPIs and develop dashboards to monitor the metrics and show where we are now, whether we have achieved our goals and why
Communicate results and influence stakeholders, be the trusted thought partner for the product and engineering team

WHAT WE'RE LOOKING FOR:

You have strong interpersonal skills and are able to work cross-functionally in the team environments
You have 2+ years experience in product analytics
You are an expert with SQL and experienced with Python or R
Ability to think creatively and thrive in a fast-paced, dynamic, often ambiguous work environment
Strategic thinker who can tie the micro and macro view together
Experience with Periscope, Databricks, Amplitude and/or Optimizely are a plus
Experience creating and tuning ML models is a plus

 

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience, but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. 
 
EarnIn does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

 
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