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求人Asana

Data Science Manager

Asana

Data Science Manager

Asana

New York City

·

On-site

·

Full-time

·

1mo ago

報酬

$258,000 - $284,250

福利厚生

Mental Health

Gym

Parental Leave

401(k)

Meals

必須スキル

Data science

Team Management

Statistical analysis

Experimentation

Metrics definition

Product strategy

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Product Data Science team, you will be a key player in using data and scientific techniques to inform Asana’s product strategy and make product decisions. You will work closely with Engineering, Product, and Design leadership and the wider Asana data community to set priorities and help us scale. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges.

This role is based in our New York City 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:

  • Guide the Product Data Science team in using data to set the right goals and strategy to hit them

  • Lead and nurture a team of data scientists guiding their professional growth and expanding the team as necessary for ongoing business success.

  • Collaborate with Product, Engineering, and Design leadership to choose our investments and decisions in AI and Collaborative Work Management.

  • Take on a leadership role within the broader Asana Data Community with other Data Science teams, Data Engineering, and Analytics

About you:

  • Over 5 years of experience in a comparable data science role

  • At least 2 years of experience in managing a team of data scientists

  • Experience working with Product, Engineering, and Design leadership to guide product strategy and make decisions

  • Extensive track record in data-informed decision making, including defining success metrics, conducting observational inference and decision-making based on experimentation

  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

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 $258,000 - $284,250. 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 is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ 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.

Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

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応募クリック数

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模擬応募者数

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スクラップ

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Asanaについて

Asana

Asana

Public

Work on big ideas, without the busywork.

1,001-5,000

従業員数

San Francisco whose flagship Asana service

本社所在地

$1.5B

企業価値

レビュー

3.6

8件のレビュー

ワークライフバランス

4.0

報酬

3.2

企業文化

4.1

キャリア

4.0

経営陣

2.5

70%

友人に勧める

良い点

Great colleagues and team members

Good work-life balance and flexibility

Career growth opportunities

改善点

Management issues

Pay lower than competitors

Company facing challenges/headwinds

給与レンジ

168件のデータ

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$180,188

年収総額

基本給

-

ストック

-

ボーナス

-

$153,160

$207,216

面接体験

4件の面接

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 75%

ネガティブ 25%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Assessment/Video Interview

5

Onsite/Virtual Interviews

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit