Job details

Senior Data Scientist, Performance Marketing

WHO ARE WE?

Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.

YOUR ROLE

This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position.

BASE SALARY: $110,000 to $160,000 per year, paid bi-monthly

MUST HAVE: Experience within the performance marketing/lead gen industries. Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems.

EXPERIENCE: At least 4 years experience in a hands-on, in-the-weeds data science position.

You will develop deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue.

You will play a pivotal role in the growth of our data science team. You will be an instrumental resource as we build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.

This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company’s products.

This role will be responsible for strategically planning Machine Learning initiatives with the Product, Engineering, Performance, and Business Intelligence teams, analyzing potential impact, and prioritizing those projects.

SUCCESS LOOKS LIKE

Innovate, create, and design ML solutions to various business problems such as:
Design, implement, and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB tests.
Utilizing Large Language Models in content personalization across various verticals.
Recommendation systems to serve ads, offers, questions, etc.
Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring.
Provide data science support at different project stages, including implementing ML solutions by collaborating with Data Engineers and MLOps.
Being hands-on and in-the-weeds in the data, coding part of the solution implementation.

WHAT YOU NEED TO SUCCEED

4+ years of related work experience in Data Science & Machine learning.
2+ years of experience in the Marketing/Advertising Industry.
Solid background in Machine Learning and Statistics.
Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems.
Proficiency in SQL and Python, as well as working with data science tools (e.g., git, Kubernetes, Docker, etc.).
Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals.
Experience creating ML solutions within cloud services (AWS/GCP).
Experience with ML model development lifecycle.
Experience with data visualization (preferably Looker).
Experience managing a team of data scientists and machine learning researchers (including career development).
Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders.

NICE TO HAVES

Experience with LLMs and Deep learning models to develop business and data science solutions directly impacting revenue and/or margin.

Total Rewards & Compensation

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Want to make your impact in a profitable, high-growth company? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Launch Potato Glassdoor Company Review

5.0

Launch Potato DE&I Review

No rating

CEO of Launch Potato

Greg Van Horn

Approve of CEO

Average salary estimate

$135000 / YEARLY (est.)

min

max

$110000K

$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Scientist, Performance Marketing, Launch Potato

At Launch Potato, we're looking for a Senior Data Scientist specializing in Performance Marketing to join our talented team! Based in Charlotte, NC, with the flexibility of remote work, this role invites you to dive deep into the world of machine learning. As part of our dynamic environment, you will play a crucial role in enhancing our connection between advertisers and customers. You'll be developing sophisticated deep personalization models and optimization algorithms that not only improve user experiences but also drive significant revenue growth. With your at least 4 years of hands-on data science experience — particularly in the performance marketing landscape — you'll design and implement cutting-edge Multi-Armed Bandit (MAB) solutions and recommendation systems. Your contributions will be pivotal in shaping our data science future as you collaborate across various teams, including Product and Business Intelligence. We're not just looking for technical expertise in SQL and Python; your ability to convey complex ideas clearly to both technical and non-technical stakeholders will be vital. If you love being in the thick of data and coding, and you're ready to take on the challenge of managing a growing data science team, then we want to hear from you. Come help us make impactful decisions that connect thousands of customers with hundreds of advertisers — your work here could change the way we approach performance marketing!

Frequently Asked Questions (FAQs) for Senior Data Scientist, Performance Marketing Role at Launch Potato

What qualifications do I need for the Senior Data Scientist position at Launch Potato?

To qualify for the Senior Data Scientist role at Launch Potato, candidates should have at least 4 years of practical experience in data science, particularly within performance marketing or lead generation. A solid understanding of machine learning and statistics is crucial, along with proficiency in SQL and Python. Additionally, experience in designing and implementing Multi-Armed Bandit solutions and recommendation systems is highly desirable.