Job Description
Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. As a Data Science Manager, you’ll lead a team of data scientists working across several product teams to drive common goals, such as acquiring new customers. You will partner closely with product, engineering, and design leads to set the strategy and direction for the overall team while mentoring your reports in their technical growth. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You’ll Achieve Manage and lead a team of data scientists partnering with Asana’s product teams. Partner closely with Product Management, Design, and Engineering leaders to drive high-level strategy. Implement team practices that empower cross-functional partners to make data-informed decisions, striking a balance between rigorous quantitative methods and speed. Guide data scientists in their technical and professional development through active mentorship. Collaborate with recruiting and other data team managers to help grow and scale the organization. Make hands-on contributions to the team’s work, including designing experiments, building ML models, and answering key questions with data. About You You have over 5 years of experience in a comparable data science role, with a proven track record of delivering high-impact insights. You bring at least 2 years of experience specifically managing a team of data scientists within a product-focused environment. You are skilled at working closely with Product, Engineering, and Design leadership to guide product strategy and drive organizational decision-making. You have an extensive track record in data-informed decision making, including defining success metrics, conducting observational inference, and leveraging experimentation to inform direction. You possess a strong technical background in a quantitative field and are fluent in modern languages for statistics or data processing (e.g., Python, R). You are comfortable with ambiguity and enjoy the challenge of balancing rigorous statistical practice with the speed of results. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Experience with Enterprise SaaS products is a strong plus. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What We’ll Offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $258,000 - $293,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and benefits. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for t