Senior / Lead Applied Data Scientist
Senior / Lead Applied Data Scientist
100% Remote (U.S. Based Only, Select States - See Below)
About the role
We’re looking for a product-minded, AI-native Data Scientist who operates like a mini-founder—someone who doesn’t wait for problems to be handed to them, but instead identifies opportunities, builds solutions, and drives measurable business impact end-to-end.
You’ll own critical areas like search, recommendations, and personalization, directly influencing core marketplace metrics like Booking Conversion Rate and booking volume. You’ll partner with Product and Engineering, but you won’t depend on them to define your roadmap—you’ll create it, validate it, and ship it.
You’ll spend most of your time:
Identifying high-impact opportunities
Rapidly prototyping and experimenting (often using AI tools)
Deploying ideas into production
Measuring and iterating based on real business outcomes
If you’re someone who thinks like a PM, executes like a Data Scientist, and uses AI to move 10x faster than traditional teams—this role is for you.
What you’ll do
End-to-end ownership of Search, Recommendations, and Personalization
Improve ranking, relevance, and discovery across the marketplace
Drive measurable lift in Booking CVR, rebooking, and engagement
Your own roadmap
Identify opportunities independently (no waiting for PM direction)
Prioritize based on business impact, not technical novelty
Push ideas into live experimentation quickly
Rapid experimentation & iteration
Design and analyze A/B tests and other experiments
Move quickly from idea → prototype → production test → insight
Applied machine learning systems
Develop and iterate on models (ranking, recommendation, personalization, etc.)
Work across the stack—from data exploration to model design to experimentation
AI-powered velocity
Leverage LLMs, agents, and AI tooling to dramatically accelerate your workflow
Prototype faster, analyze faster, and ship faster than traditional approaches
Explore opportunities to apply AI both internally and in user-facing features
Cross-functional influence
Partner with Product, Engineering, and Analytics to bring ideas to life
Communicate complex ideas clearly to non-technical stakeholders
Act as a thought partner on product strategy—not just execution
Data Science leadership (IC)
Set the bar for how Data Science operates at StyleSeat
Bring product thinking, speed, and autonomy into the team
Help shape future hiring and direction of the function
What Success Looks Like
You’ve shipped multiple experiments that drive measurable improvements in Booking CVR and booking volume
You’ve established a clear, high-impact roadmap for search and personalization
You’re consistently identifying and executing on opportunities without needing direction
You’ve meaningfully increased the velocity of experimentation through AI-enabled workflows
You’ve become a trusted partner to Product & Engineering, influencing roadmap and strategy
You’ve raised the bar for what “Data Science” means at StyleSeat
Who you are
Successful candidates can come from a variety of backgrounds, yet here are some of the critical experiences we’re looking for:
Core Requirements
5+ years of experience in Data Science, Applied ML, or related roles in production environments
Strong foundation in machine learning, experimentation, and statistical thinking
Proven track record of driving business impact, not just building models
Highly proficient in SQL and Python
Experience working cross-functionally with Product and Engineering teams
What sets you apart:
Product mindset
You think like a PM: identifying problems, prioritizing opportunities, and driving outcomes
You care more about impact than technical elegance
Extreme ownership
You don’t wait for direction—you create it
You proactively push ideas into production and measure results
AI-native builder
You actively use AI tools (LLMs, agents, copilots) to accelerate your work
You understand how AI can be applied to real business problems
You can prototype and iterate faster because of it
Speed & pragmatism
You know when to ship a scrappy V1 vs. build something robust
You optimize for learning and impact, not perfection
Strong communicator
You can explain complex ideas clearly to any audience
You influence decisions across technical and non-technical teams
Salary Range
Our job titles may span more than one career level. The career levels we are targeting for this role have a base pay between $160,000 and $195,000. This role is eligible for equity grants. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. Base pay ranges are subject to change and may be modified in the future.
Who we are
StyleSeat is the premier business platform for SMBs in the beauty and wellness industry to run and grow their business; and destination for consumers to discover, book and pay. To date, StyleSeat has powered more than 200 million appointments totaling over $12 billion in revenue for small businesses.StyleSeat is a platform and marketplace designed to support and promote the beauty and personal care community.
Today, StyleSeat connects consumers with top-rated beauty professionals in their area for a variety of services, including hair styling, barbering, massage, waxing, and nail care, among others. Our platform ensures that Pros maximize their schedules and earnings by minimizing gaps and cancellations, effectively attracting and retaining clientele.
StyleSeat Culture & Values
At StyleSeat, our team is committed to fostering a positive and inclusive work environment. We respect and value the unique perspectives, experiences, and skills of our team members and work to create opportunities for all to grow and succeed.
Diversity - We celebrate and welcome diversity in backgrounds, experiences, and perspectives. We believe in the importance of creating an inclusive work environment where everyone can thrive.
Curiosity - We are committed to fostering a culture of learning and growth. We ask questions, challenge assumptions, and explore new ideas.
Community - We are committed to making a positive impact on each, even when win-win-win scenarios are not always clear or possible in every decision. We strive to find solutions that benefit the community as a whole and drive our shared success.
Transparency - We are committed to open, honest, and clear communication. We hold ourselves accountable for maintaining the trust of our customers and team.
Entrepreneurship - We are self-driven big-picture thinkers - we move fast and pivot when necessary to achieve our goals.
Applicant Note:
StyleSeat is a fully remote, distributed workforce, however, we only have business entities established in the below list of states and, thus are unable to consider candidates who live in states not on this list for the time being. **Applicants 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.
* Arizona
* Alabama
* California
* Colorado
* Delaware
* Florida
* Georgia
* Illinois
* Indiana
* Massachusetts
* Maryland
* Michigan
* Nebraska
* New York
* New Jersey
* Ohio
* Oregon
* Pennsylvania
* Virginia
* Washington
100% Remote (U.S. Based Only, Select States - See Below)
About the role
We’re looking for a product-minded, AI-native Data Scientist who operates like a mini-founder—someone who doesn’t wait for problems to be handed to them, but instead identifies opportunities, builds solutions, and drives measurable business impact end-to-end.
You’ll own critical areas like search, recommendations, and personalization, directly influencing core marketplace metrics like Booking Conversion Rate and booking volume. You’ll partner with Product and Engineering, but you won’t depend on them to define your roadmap—you’ll create it, validate it, and ship it.
You’ll spend most of your time:
Identifying high-impact opportunities
Rapidly prototyping and experimenting (often using AI tools)
Deploying ideas into production
Measuring and iterating based on real business outcomes
If you’re someone who thinks like a PM, executes like a Data Scientist, and uses AI to move 10x faster than traditional teams—this role is for you.
What you’ll do
End-to-end ownership of Search, Recommendations, and Personalization
Improve ranking, relevance, and discovery across the marketplace
Drive measurable lift in Booking CVR, rebooking, and engagement
Your own roadmap
Identify opportunities independently (no waiting for PM direction)
Prioritize based on business impact, not technical novelty
Push ideas into live experimentation quickly
Rapid experimentation & iteration
Design and analyze A/B tests and other experiments
Move quickly from idea → prototype → production test → insight
Applied machine learning systems
Develop and iterate on models (ranking, recommendation, personalization, etc.)
Work across the stack—from data exploration to model design to experimentation
AI-powered velocity
Leverage LLMs, agents, and AI tooling to dramatically accelerate your workflow
Prototype faster, analyze faster, and ship faster than traditional approaches
Explore opportunities to apply AI both internally and in user-facing features
Cross-functional influence
Partner with Product, Engineering, and Analytics to bring ideas to life
Communicate complex ideas clearly to non-technical stakeholders
Act as a thought partner on product strategy—not just execution
Data Science leadership (IC)
Set the bar for how Data Science operates at StyleSeat
Bring product thinking, speed, and autonomy into the team
Help shape future hiring and direction of the function
What Success Looks Like
You’ve shipped multiple experiments that drive measurable improvements in Booking CVR and booking volume
You’ve established a clear, high-impact roadmap for search and personalization
You’re consistently identifying and executing on opportunities without needing direction
You’ve meaningfully increased the velocity of experimentation through AI-enabled workflows
You’ve become a trusted partner to Product & Engineering, influencing roadmap and strategy
You’ve raised the bar for what “Data Science” means at StyleSeat
Who you are
Successful candidates can come from a variety of backgrounds, yet here are some of the critical experiences we’re looking for:
Core Requirements
5+ years of experience in Data Science, Applied ML, or related roles in production environments
Strong foundation in machine learning, experimentation, and statistical thinking
Proven track record of driving business impact, not just building models
Highly proficient in SQL and Python
Experience working cross-functionally with Product and Engineering teams
What sets you apart:
Product mindset
You think like a PM: identifying problems, prioritizing opportunities, and driving outcomes
You care more about impact than technical elegance
Extreme ownership
You don’t wait for direction—you create it
You proactively push ideas into production and measure results
AI-native builder
You actively use AI tools (LLMs, agents, copilots) to accelerate your work
You understand how AI can be applied to real business problems
You can prototype and iterate faster because of it
Speed & pragmatism
You know when to ship a scrappy V1 vs. build something robust
You optimize for learning and impact, not perfection
Strong communicator
You can explain complex ideas clearly to any audience
You influence decisions across technical and non-technical teams
Salary Range
Our job titles may span more than one career level. The career levels we are targeting for this role have a base pay between $160,000 and $195,000. This role is eligible for equity grants. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. Base pay ranges are subject to change and may be modified in the future.
Who we are
StyleSeat is the premier business platform for SMBs in the beauty and wellness industry to run and grow their business; and destination for consumers to discover, book and pay. To date, StyleSeat has powered more than 200 million appointments totaling over $12 billion in revenue for small businesses.StyleSeat is a platform and marketplace designed to support and promote the beauty and personal care community.
Today, StyleSeat connects consumers with top-rated beauty professionals in their area for a variety of services, including hair styling, barbering, massage, waxing, and nail care, among others. Our platform ensures that Pros maximize their schedules and earnings by minimizing gaps and cancellations, effectively attracting and retaining clientele.
StyleSeat Culture & Values
At StyleSeat, our team is committed to fostering a positive and inclusive work environment. We respect and value the unique perspectives, experiences, and skills of our team members and work to create opportunities for all to grow and succeed.
Diversity - We celebrate and welcome diversity in backgrounds, experiences, and perspectives. We believe in the importance of creating an inclusive work environment where everyone can thrive.
Curiosity - We are committed to fostering a culture of learning and growth. We ask questions, challenge assumptions, and explore new ideas.
Community - We are committed to making a positive impact on each, even when win-win-win scenarios are not always clear or possible in every decision. We strive to find solutions that benefit the community as a whole and drive our shared success.
Transparency - We are committed to open, honest, and clear communication. We hold ourselves accountable for maintaining the trust of our customers and team.
Entrepreneurship - We are self-driven big-picture thinkers - we move fast and pivot when necessary to achieve our goals.
Applicant Note:
StyleSeat is a fully remote, distributed workforce, however, we only have business entities established in the below list of states and, thus are unable to consider candidates who live in states not on this list for the time being. **Applicants 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.
* Arizona
* Alabama
* California
* Colorado
* Delaware
* Florida
* Georgia
* Illinois
* Indiana
* Massachusetts
* Maryland
* Michigan
* Nebraska
* New York
* New Jersey
* Ohio
* Oregon
* Pennsylvania
* Virginia
* Washington