Data Scientist, Marketing

  • Full Time
Job expired!

Asana's Data Science team assists in executing our mission by informing strategies, defining success metrics, and exploring new ways to deliver value to users. Data scientists play a crucial role in deepening our understanding of customers and driving business results by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

As a Marketing Data Scientist at Asana, you will collaborate with our Marketing teams across Growth Marketing, Revenue Marketing, Lifecycle Marketing, and Marketing Analytics to attract, engage, and convert Asana users and customers globally at various stages in the funnel. You will hone a variety of skills as a full-stack Data Scientist working on projects from start to finish and cultivate deep domain expertise at the intersection of Data Science and Marketing. Refer to the to find out more about the team’s work.

This role is based in our San Francisco office with an schedule. Like most Asanas, you'll work in person at this office 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 provide more information on the in-office requirements.

What you’ll achieve

  • Develop and implement marketing measurement capabilities like Marketing Mix Modeling (MMM), Geo-based experimentation and Multi-touch Attribution (MTA) to evaluate the effectiveness of our marketing.
  • Create and implement machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, and time-series forecasting end to end by scoping, researching, prototyping, and productizing 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 in-depth analysis, and communicate findings and actionable recommendations to audiences at all levels to facilitate data-driven decisions.
  • Work with other Data Scientists in the team to expand 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.
  • 2+ years of experience in applying data science techniques to aid 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 deploying 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 machine learning methods such as classification, ranking, and clustering.

At Asana, we're committed to building teams that encompass a variety of backgrounds, perspectives, and skills, as this is vital 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 is an important part of recognizing your impact on our mission path. We believe that compensation should reflect the value you create relative to the market value of your role. To ensure pay is fair and unbiased, we constantly examine market value through our yearly pay equity audits.

For this role, the estimated base range is between $171,000 - $258,000. The actual base salary will vary based on various factors, including market and individual qualifications assessed objectively during the interview process. The above range is a guideline, and the base salary range for this role may be adjusted.

Beyond base salary, your compensation package may include additional components like equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to understand the total compensation and benefits for this role.

We strive to provide fair and competitive benefits packages worldwide that support our employees, including:

  • Mental health, wellness & fitness benefits
  • Career coaching & support
  • Inclusive family building benefits
  • Long-term savings or retirement plans
  • In-office culinary options catering 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 understand 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 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 over a year of physical distancing, Team Asana is safely and adaptively returning to in-person collaboration, incorporating hybrid elements into our . With more than 11 offices worldwide, we are constantly seeking individuals passionate about building technology that drives positive change in the world and fostering 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 central to our mission. Our aim is to ensure that Asana maintains an inclusive environment where all people feel 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 regardless of race, color, religion, age, sex, national origin, disability status, genetic makeup, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also adhere to the San Francisco Fair Chance Ordinance and alike laws in other locations.