Staff Data Scientist, AI

Key Skills

Aartificial intelligence, Data Modeling, Data science techniques, Large Language Models - LLMs, Machine learning techniques, Python Programming, Scala Programming, SQL

Job Description

We are hiring a full stack data scientist for the AI org located in San Francisco. The AI org has a mission to transform Asana by building innovative AI experiences that dramatically improve customers’ lives at work. We empower teams to pioneer the future of work through rapid prototyping and exploration, deliver amazing AI-first experiences that help customers achieve their missions and business objectives, and accelerate Asana’s ability to deliver AI experience through frameworks and tooling. 

The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in 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 also other members of the Data team. We leverage experimentation, statistical modeling 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 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

• 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 the AI org
• Developing ML models to align with AI org strategy and drive business impact
• Designing and analyzing experiments to measure the impact of new LLM and ML features

About you

• Bachelor Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience.
• 5+ 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 machine learning, 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.