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Senior Data Scientist - Pay Area, Pricing

AsanaFull-time$202k - $258kSan Francisco, CaliforniaMay 10, 2024
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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.

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

  • Designing and analyzing experiments and causal analyses to support pricing decisions, improve pricing models, and inform our product and business roadmap
  • Building models to identify solutions for price optimization
  • Defining and adding new metrics and aggregations to our data warehouse to make new classes of questions answerable
  • Building dashboards to track the health of our pricing models
  • Contributing to executive reporting on the effectiveness of pricing and packaging changes
  • Influencing business decisions through data-driven insights
  • Communicating effectively and presenting to both technical and non-technical audiences
  • Mentoring junior data scientists to drive business-relevant results

About you

  • Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience
  • 4+ years of experience in applying data science techniques to drive technical product development and decision-making; ideally, part of this prior experience will include Pricing
  • Strong technical background in statistics, math, computer science, information science, or another quantitative field
  • Fluency in at least one data processing and programming language (e.g. Python, Scala), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift)
  • Expertise in statistical methods and experimental design and analysis
  • Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
  • Excellent written and verbal communication skills
  • Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations

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 $202,000 - $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-Hybrid #kmc62010

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