Research Data Scientist – Statistical Analysis at Skillshare

Company Overview Skillshare is the world's largest online learning community for creativity. With millions of students and thousands of classes, we’re democratizing education and empowering anyone to learn anything, anywhere. Our mission is to build a future where anyone can learn the skills they need to thrive. We embrace a fully remote work culture that fosters collaboration, innovation, and flexibility. Skillshare is committed to providing a supportive and inclusive environment for all our employees, no matter where they are located. Position Summary We are seeking a highly motivated and experienced Research Data Scientist - Statistical Analysis to join our growing Data & Analytics team. This is a fully REMOTE position, allowing you to work from anywhere in the USA. As a Research Data Scientist, you will be responsible for designing, conducting, and analyzing statistical experiments to improve Skillshare's platform and user experience. You will work closely with product managers, engineers, and other data scientists to identify opportunities for improvement and develop data-driven solutions. This role requires a strong understanding of statistical methods, experimental design, and data analysis techniques, as well as excellent communication and collaboration skills. Key Responsibilities Design and implement A/B tests and other statistical experiments to evaluate product features and marketing campaigns. Analyze experimental data using statistical techniques to identify significant differences and draw actionable insights. Develop and maintain statistical models to predict user behavior and optimize platform performance. Communicate findings and recommendations to stakeholders through clear and concise presentations and reports. Collaborate with product managers and engineers to implement data-driven solutions. Stay up-to-date on the latest statistical methods and data analysis techniques. Contribute to the development of best practices for data analysis and experimentation. Participate in virtual team meetings and contribute to a collaborative remote work environment. Required Qualifications Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field. 3+ years of experience in data science, with a focus on statistical analysis and experimentation. Strong understanding of statistical methods, including hypothesis testing, regression analysis, and experimental design. Proficiency in statistical programming languages such as R or Python. Experience with A/B testing platforms and data visualization tools. Excellent communication and collaboration skills. Ability to work independently and as part of a remote team. Strong problem-solving skills and attention to detail. Must be located within the United States. Technical Requirements As a fully remote employee, you will need to meet the following technical requirements: Dedicated home office space free from distractions. High-speed internet connection (minimum 50 Mbps download and 10 Mbps upload). Reliable computer with sufficient processing power and memory for data analysis. Proficiency in using video conferencing tools such as Zoom or Google Meet. Availability to work during core business hours in the US Eastern Time Zone (9 AM - 5 PM ET) to facilitate collaboration with team members. Skillshare will provide a home office stipend to help you set up your workspace. Desired Skills Experience with cloud-based data platforms such as AWS or Google Cloud. Familiarity with SQL and data warehousing concepts. Experience with machine learning techniques. Knowledge of the online education industry. Experience using project management tools like Asana or Jira for remote collaboration. Compensation & Benefits The annual salary range for this REMOTE Research Data Scientist - Statistical Analysis position is $130,000 - $160,000, commensurate with experience and location. In addition to competitive compensation, Skillshare offers a comprehensive benefits package, including: Medical, dental, and vision insurance. Paid time off (vacation, sick leave, and holidays). 401(k) retirement plan with company match. Stock options. Home office stipend to help you set up your remote workspace. Flexible working hours and a supportive remote work environment. Virtual team-building activities and opportunities for professional development. Access to Skillshare classes and workshops for continuous learning. Opportunity to work on a meaningful mission that impacts millions of learners worldwide. Occasional travel may be required (1-2 times per year) for team meetups (post-pandemic, if safe). How to Apply If you are a passionate and experienced data scientist looking for a challenging and rewarding REMOTE opportunity, we encourage you to apply. Please submit your resume and a cover letter highlighting your relevant experience and skills. We are excited to hear from you!