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Senior Data Scientist
Asana San Francisco, CA
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$144k-178k (estimate)
Full Time Just Posted
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Asana is Hiring a Senior Data Scientist Near San Francisco, CA

Are you passionate in helping key business functions around the world to scale their work processes so that they can efficiently achieve their goals? We are actively seeking a dynamic and experienced Senior Data Scientist to join our Process Scaling team at Asana. The Process Scaling team specializes in developing product features that empowers project managers to develop and deploy standardized enterprise-grade workflows, enhancing scalability and efficiency.
In this pivotal role as a Senior Data Scientist, you will be instrumental in shaping the product strategies and roadmap of the Process Scaling team. Your immediate responsibilities encompass driving strategic analysis, taking ownership of key metrics, leading experimentation efforts, applying causal inference methods to gain product learnings and metric measurements, and proactively integrating AI and machine learning models into our product. Furthermore, Asana fosters an environment that encourages and empowers you to extend your impact beyond your immediate team, enabling you to make significant contributions to the broader organization.
The Product Data Science team works closely with our product, engineering, design, user research, and product marketing teams; we work to make sure teams are asking the right questions and then find those answers. We understand our company's goals and proactively inform their direction with data so that our product can help more teams do great things.
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
  • Develop deep understanding of customers' pain points; scope and execute on strategic analysis that reveals high impact strategic opportunities and product directions.
  • Communicate and influence key product decisions using data.
  • Design experiments that measure product progress, and own key performance metrics.
  • Design and apply causal inference methods to measure product progress and metric movements.
  • Seek opportunities to solve customer pain via AI and machine learning models.
  • Collaborate with cross-functional teams to identify data needs and develop tailored datasets to support various analytical needs.
  • Collaborate with other data scientists on the team to research, identify and disseminate best practices across teams.
About you
  • A degree in a quantitative field like Computer Science, Mathematics, Statistics, Engineering, or related
  • Minimum 3 years of experience in a fast-paced environment in product analytics/data science
  • Experience collaborating with Product, Engineering, Design, and UXR driving key strategic / tactical decisions using data.
  • Ability to empathize with real-world customer problems and use data for solutions
  • Strong communication skills; ability to communicate complex ideas across diverse audiences and craft recommendations that are compelling and data-driven
  • Experience with online experimentation, causal inference, and machine learning to solve and optimize critical business problems and metrics.
  • Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).
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 - $209,000. 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

Job Summary

JOB TYPE

Full Time

SALARY

$144k-178k (estimate)

POST DATE

05/02/2024

EXPIRATION DATE

05/15/2024

WEBSITE

asana.com

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

500 - 1,000

FOUNDED

2008

TYPE

Public

CEO

DUSTIN MOSKOVITZ

REVENUE

$200M - $500M

INDUSTRY

IT Outsourcing & Consulting

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The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.

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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.

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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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Present final result to stakeholders. Make adjustments based on feedback.

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Learn the required skills to become a data scientist.

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Review additional data scientist certifications and post-graduate learning.

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Ask the right questions to begin the discovery process.

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Choose one or more potential models and algorithms.

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Step 3: View the best colleges and universities for Senior Data Scientist.

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