Senior Lead Applied Data Scientist
WFA Digital Insight
As demand for data-driven insights continues to skyrocket, companies like StyleSeat are seeking VERSATILE professionals who can bridge the gap between data science and product development. With the rise of remote work, the need for skilled data scientists who can work independently has grown exponentially. In fact, the demand for data science specialists is expected to increase by over 25% in the next year. StyleSeat stands out as a company that empowers its data scientists to take ownership of critical areas like search, recommendations, and personalization. Before applying, candidates should be aware that this role requires a unique blend of technical expertise, business acumen, and collaborative skills.
Job Description
About the Role
The Senior Lead Applied Data Scientist role at StyleSeat is a unique opportunity for a product-minded, AI-native data scientist to drive measurable business impact. As a key member of the team, you will own critical areas like search, recommendations, and personalization, directly influencing core marketplace metrics. You will 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.The ideal candidate will be someone who thinks like a product manager, executes like a data scientist, and uses AI to move 10x faster than traditional teams. You will spend most of your time identifying high-impact opportunities, rapidly prototyping and experimenting, deploying ideas into production, and measuring and iterating based on real business outcomes.
As a remote worker, you will be expected to be self-motivated, disciplined, and able to work independently. You will be part of a global team, collaborating with colleagues across different time zones and functions.
What You Will Do
- Identify high-impact opportunities to drive business growth
- Rapidly prototype and experiment with new ideas using AI tools
- Deploy ideas into production and measure their impact
- Iterate and refine solutions based on real business outcomes
- Own end-to-end development of search, recommendations, and personalization
- Drive measurable lift in Booking Conversion Rate, rebooking, and engagement
- Create and prioritize your own roadmap, independent of product management direction
- Push ideas into live experimentation quickly, using data to inform decision-making
- Design and analyze A/B tests to measure the effectiveness of new solutions
- Collaborate with Product and Engineering to ensure seamless integration of new features
- Stay up-to-date with the latest developments in AI, machine learning, and data science
What We Are Looking For
- 5+ years of experience in data science, with a focus on applied machine learning
- Strong technical skills in programming languages like Python, R, or SQL
- Experience with AI tools and technologies, such as natural language processing or computer vision
- Strong business acumen and ability to communicate complex technical concepts to non-technical stakeholders
- Experience working with large datasets and distributed computing systems
- Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams
- Experience with cloud-based technologies, such as AWS or Google Cloud
- Strong understanding of statistical modeling and data analysis techniques
Nice to Have
- Experience with deep learning frameworks like TensorFlow or PyTorch
- Familiarity with agile development methodologies and version control systems like Git
- Experience with data visualization tools like Tableau or Power BI
- Knowledge of DevOps practices and containerization using Docker
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a talented team of data scientists and engineers
- Flexible working hours and remote work options
- Professional development opportunities, including training and conference sponsorships
- Access to the latest tools and technologies, including AI and machine learning frameworks
- Comprehensive health and wellness package, including medical, dental, and vision insurance
- Generous paid time off policy, including vacation days and holidays
- Remote work stipend to support your home office setup
- Equity options and stock ownership opportunities
- Opportunities for career growth and advancement within the company
How to Stand Out
- When applying, be sure to highlight your experience with AI and machine learning, as well as your ability to communicate complex technical concepts to non-technical stakeholders.
- To stand out, include examples of your work, such as GitHub repositories or publications, to demonstrate your skills and expertise.
- Prepare to discuss your approach to data science, including your experience with A/B testing and experimentation.
- Be prepared to walk the interviewer through your process for identifying high-impact opportunities and measuring their impact.
- Don't be afraid to ask questions about the company culture and values, as well as the team you will be working with.
- Consider reaching out to current or former employees to get a better sense of the company and the role.
- When negotiating salary, be sure to highlight your relevant experience and skills, as well as your research on the market rate for the position.
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