A Sports Betting Startup
 is hiring a fractional

Senior Data Scientist

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This is a Featured Job

100% guarantee that your intro request will be seen
You’ll receive an update within 14 days
If the company is interested, we’ll intro the two of you directly

Weekly Commitment

10 - 20 hrs

Compensation Range

$150 - $165 / hr

Company Stage

Early-stage VC

Industry

Sports / Gambling

Location

Remote (worldwide)
moonlight ok
moonlight ok
convert full-time
convert full-time
equity offered
equity offered
hands-on needed
hands-on needed

Note: We've kept the name of the company private. If you'd like to know the company before requesting an intro, just email us at hello [at] fractionaljobs.io

About Us

We're a Series-A funded sports betting startup with a strong community focus.

We have more than 700,000 users, with a 4.8 App Store rating, and one of the top 50 iOS apps in the Sports category.

About the Work

We want to better understand our users, their value, their likelihood of churning, and the impact different product features may have. We're looking for a Fractional Senior Data Scientist to own these efforts for us, shaping our product roadmap with a more informed strategy.

Specifically, you'll:

  • Build predictive models for user LTV
  • Build churn models to show where users churn, why they churn, and how to reduce it
  • Analyze and model our bonusing system to determine which users to bonus, how much to give, and the causal impact on behavior and spend
  • Design and analyze product experiments, using behavioral patterns that separate high- and low-value users to form and test hypotheses
  • Support marketing and paid acquisition analysis as needed
  • Work closely with the CPO to inform the product roadmap

Analytics stack:

  • Mixpanel
  • DataGol (similar to Looker)
  • Postgres
  • Appsflyer

About You

You MUST have:

  • Significant data science experience at other consumer tech startups
    • If all your experience is B2B, we won't be the right fit
  • Direct experience working with product teams to inform product decisions and roadmaps
    • LTV and churn models should be your bread and butter
  • High comfort with Postgres, Mixpanel, and BI tools
  • Recent hands-on experience. There is no DS team to manage. It's you doing all the work, end-to-end
  • Can be based anywhere in the world, but must be available for morning standup in EST time zone

Some nice-to-haves:

  • Gambling or gaming experience
  • Experience modeling and analyzing promotional or incentive systems (e.g., user bonuses, discounts, credits)


How to Get in Touch

Hit that "Request Intro" button below. Include any relevant links so we can get to know you better.

Your brief intro note should clearly address:

  • The consumer tech startups you've been a Data Scientist for
  • Examples of LTV and churn models you've built, and how they impacted the product roadmap
  • Any work with promotion, incentive, and reward systems


If we think there's a fit, we'll reach out to schedule an intro call. Looking forward!

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