FreshRemote.Work

Senior Data Scientist

Second Dinner (US Remote)

Who We Are

Second Dinner is an award-winning independent game development studio that is here to make the most fun games in the world. Not super fun games. Not SUPER DUPER fun games. We mean the MOST fun games. In fact, our game MARVEL SNAP has earned multiple Mobile Game of the Year Awards (Game Awards, DICE), Best Strategy Game (IGN), and the Apple Design Award for Innovation!

Second Dinner is a remote-first studio, so while we are headquartered in Irvine, California, most of our team is fully remote across the United States. We want the most talented teammates wherever they call home. A diverse team with varied perspectives makes us a better company and will help us make better games. If you can bring something new to the table and expand our point of view, that's a huge upside. 

Our Data Team

At Second Dinner, we believe that data plays a crucial role in conveying the voices of our players and informing our decisions, which leads us to great games and player experiences. Our team informs strategic and operational decision-making with scientific and methodological rigors. We build data and ML-powered player experience directly into the game. We innovate in analytics tooling and AI capabilities to redefine what is possible in game development and operations.

Your Role

You will report to the VP of Data and AI, and your primary responsibility is to collaborate with Product Management, Design, Analytics, Marketing, and many other disciplines to help make our game wildly fun and drive growth worldwide. If you love crafting world-class game experiences, collaborating with extraordinarily talented cross-functional teams, and creating data science and analytics solutions to impact millions of players directly, then APPLY!!!

What You’ll Do:

  • Partner with the SNAP team to identify growth opportunities for our game and translate them into data science and analytics initiatives.

  • Collaborate with relevant disciplines to improve SNAP’s live operations.

  • Partner with Analytics and Product Management to identify, define, compute, and validate the relevant and actionable metrics to understand the impact of features and events.

  • Apply analytics, experimentation, and machine learning techniques to empower personalization in SNAP.

  • Lead excellence in our approach to experimentation. Lead the design and analysis of experiments.

  • Evangelize data science, analytics, and experimentation. Level up the data literacy of the SNAP team.

  • Contribute as a key member in determining the vision and strategy for data and analytics.

What You’ll Need:

  • Advanced degree in Mathematics, Statistics, Physics, Engineering, or related quantitative field.

  • Expertise in SQL and Python.

  • Extensive experience in data science and analytics.

  • Extensive experience in experimentation for consumer-facing product features or live operation (A/B test, quasi-experiment, causal inference).

  • Experience developing personalized recommendation systems.

  • Strong ability to convey technical and statistical concepts clearly and concisely among audiences with different backgrounds.

  • Strong ability to partner with stakeholders to lead product improvement and innovations.

  • Experience with fundamental ETL/ELT.

  • Demonstrated success in a highly collaborative cross-functional work environment.

  • Passionate player of mobile games.

  • Mindset for serving a diverse and global player base.

Nice to Have, But Not Necessary: 

  • Ph.D. in Engineering, Physics, Mathematics, Statistics, or related field.

  • Experience with AWS, Databricks, and Looker.

  • Experience with Apache Spark.

  • Experience with Unity and C#/C++.

  • Experience collaborating with data engineers and ML engineers on ML/AI systems.

  • Experience working in online video games, preferably free-to-play mobile games.

  • Passion for making video games.

The total compensation for this position includes a new hire offer base salary range of $175,000 - $215,000 USD + equity + comprehensive benefits + potential for discretionary performance bonuses.

Individual pay within this salary range may span multiple levels within the discipline and is determined by assessed job-related skills, experience, relevant education or training. It also factors in market demands and business needs. The disclosed range is not adjusted based on location and may be subject to change or modification based on business needs in the future. Your recruiter can answer any questions about new hire total compensation during the hiring process.

An overview of the benefits and perks at Second Dinner:

  • Medical, Dental, and Vision insurance plans with Second Dinner paying 100% of premiums for employees and 75% for dependents for many plans

  • 401(k) contribution with no waiting period

  • 16 weeks paid parental leave with no waiting period

  • Home office improvement bonus

  • Paid Vacation & Sick time

  • Up to 10 BetterHelp sessions covered each benefits plan year

  • Remote-first with core overlap hours between 10AM and 4PM PT

  • Company Winter Holiday shutdown (Dec 25-Jan 1)

  • Company Summer Holiday shutdown (week of July 4)

  • Company Events - In-person Summer all-hands gathering, in-person holiday party, annual camping event, and virtual events throughout the year

We are an equal opportunity employer that places high value on diversity and inclusion. We do not discriminate on the basis of race, color, ancestry, national origin, religion, age, disability status, sex (including pregnancy), gender, gender identity, gender expression, sexual orientation, medical condition, genetic information, marital status, military status, or veteran status.

You must be eligible to work in the United States to be considered for this position.

Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Fully remote

Benefits/Perks

16 weeks paid parental leave 401(k) contribution BetterHelp sessions Comprehensive benefits Equity Home office improvement bonus Medical, dental, and vision insurance Paid Vacation & Sick time Potential for discretionary performance bonuses

Tasks
  • Collaborate with cross functional teams
  • Convey technical concepts clearly
  • Develop recommendation systems
  • Identify growth opportunities
  • Lead experimentation
  • Lead product improvements
  • Partner with stakeholders
  • Serve a diverse player base
Skills

Apache Spark AWS C C/C++ Databricks ETL Game development Looker Python SQL Unity

Education

Engineering Mathematics Physics Statistics

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9