Asana's Data Science team helps us fulfil 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 Marketing Data Scientist at Asana, you will partner with our Marketing teams across Growth Marketing, Revenue Marketing, Lifecycle Marketing, and Marketing Analytics to acquire, engage, and convert Asana users and customers around the globe at different stages in the funnel. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Marketing. 

　　This role is based in our San Francisco office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. 

　　What you’ll achieve

　　Develop and apply marketing measurement capabilities such as Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate the performance of our marketing effort.  Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, and time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, and Airflow.  Collaborate with Marketing stakeholders, Marketing Analytics, and other cross-functional partners to identify impactful business questions, conduct deep-dive analysis, and communicate findings and actionable recommendations to audiences at all levels to drive data-driven decisions.  Collaborate with other Data Scientists in the team to build and improve different marketing measurement capabilities.  About you

　　Bachelor's Degree in Computer Science, Math, Statistics, Economics, Marketing Science, Engineering, a related quantitative field, or equivalent experience. 4+ years of experience in applying data science techniques to drive decision-making or develop technical applications.  Fluency in at least one modern language useful for data processing (e.g. Python, Scala). Proficiency with relational data modeling and SQL. Experience in writing production-quality code in Python/Scala and productionizing machine learning applications with tools such as Git, Sagemaker, and Airflow.  Familiarity with statistical methods including experimental design, regression, causal inference with observational data, and time series modeling. Familiarity with one or more of the machine learning methods such as classification, ranking, and clustering. 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 $171,000 - $258,000. 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, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

　　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 Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

　　About us

　　Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. 

　　We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.

　　#LI-ML4