Senior Data Science Manager - Marketing Science

PrizePicks; Atlanta (GA); Hybrid; USD 180,000 - 210,000; Full time

Benefits offered by this job

Company-subsidized medical, dental, & vision plans

401(k) with company match

Annual bonus

Flexible PTO

Generous paid leave

Lifestyle enhancement program

Company equipment provided

Annual performance reviews

Job summary

PrizePicks, located in Atlanta, is hiring a Senior Data Science Manager, Marketing Science, to lead their analytics team. You will oversee projects focused on machine learning and causal inference to enhance marketing strategies and decision-making.

The ideal candidate has over 7 years of experience in data science, strong leadership abilities, and is proficient in Python and SQL. This role offers a competitive salary and generous benefits, emphasizing work-life balance and workplace flexibility.

Qualifications

• 7+ years of experience in data science & analytics.
• 5+ years in a marketing or customer data-related role.
• 3+ years managing or mentoring data scientists.

Responsibilities

• Lead a team of data scientists focusing on acquisition and retention marketing.
• Oversee development of production-grade machine learning models.
• Manage marketing data analysis projects leveraging causal inference.

Skills

Data science & analytics

Machine learning model development

Statistical proficiency

Python

SQL

Education

Bachelor's or master's degree in data science, econometrics, statistics, math, computer science

Tools

Python for statistical computing

Advanced SQL

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?

The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.

What you’ll do:

• Lead a team of data scientists, covering topics across retention and acquisition marketing
• Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
• Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
• Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
• Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
• Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
• Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

What you have:

• 7+ years of experience in data science & analytics
• 5+ years of experience in a marketing, customer, or revenue data-related role
• 3+ years of experience managing or mentoring data scientists, analysts, or engineers
• Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred
• Proven experience in building and implementing production-grade machine learning models in an operations support capacity
• Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
• Exceptional communicator, with experience presenting to senior leadership
• Ability to influence cross-functional partners (Marketing, Finance, Product)
• Comfortable balancing hands-on work with team leadership
• Technical Skills
  • Strong statistical proficiency
  • Python for statistical computing, model development, and data visualization
  • Advanced SQL

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates.

Working at PrizePicks:

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

Benefits you’ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks:

• Company-subsidized medical, dental, & vision plans
• 401(k) plan with company match
• Annual bonus
• Flexible PTO to encourage a healthy work/life balance
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.