Senior Data Scientist, Dependency Planning

Key Skills

Data Modelling, Data science techniques, Design, Effective communication skills, Python Programming, Scala Programming, SQL, Statistics

Job Description

The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach to building the product or business strategy, defining and measuring success metrics, learning, and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and other Data team members. We leverage experimentation, statistical modelling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value.

This role is based in our New York City 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

• Thinking deeply about how to measure and track success for a set of products with a complex and nuanced customer value
• Performing and evangelizing strategic analysis to help inform the future of work for our area
• Guide the teams' understanding of how our customers use and adopt dependency & planning features within Asana
• Designing and analyzing experiments to measure the impact of new product features

About you

• Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience.
• 3+ years of experience in applying data science techniques to drive technical product development and decision-making
• Strong technical background in computer science, statistics, math, information science, or another quantitative field
• Strong ability in managing stakeholders, communicating complex concepts to diverse audiences, and crafting compelling stories.
• Experience in scoping and planning projects with stakeholders and driving technical execution.
• Fluency in at least one modern language useful for data processing (e.g. Python, Scala)
• Proficiency with relational data modeling and SQL
• Expertise in statistical methods and experimental design and analysis

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 - $316,000. 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.