Product Science Manager Details

Indeed - New York, NY

Employment Type : Full-Time

Your Job

We are a growing team of data science professionals dedicated to ensuring the success of Indeed’s SMB business unit. As a technical Manager of this team, you will work directly with SMB leadership, product management, and a team of data scientists to identify and influence medium- and long-term strategy across Indeed products. You will address business needs by guiding multiple product teams in the conception and implementation of data science solutions to improve the SBM platform. You will serve as a mentor for junior scientists, providing both technical and career guidance. You have high standards and will take pride in Indeed like we do as well as push us to be better. You have delivered challenging technical solutions at scale, with a particular focus in using machine learning techniques to optimize a product platform. You are equally happy talking about deep learning and software engineering, as you are brainstorming about continuous improvement and technology career development. You love being in the mix technically while planning for longer-term investments in a data science function.

Product Science advances data-driven decision-making using the scientific method on Indeed’s products. In the Data Science organization, the Product Science Manager and Product Scientists are embedded working closely with Product Managers and their Engineering teams. Both Product Scientists and Product Science Managers are a mixture of a statistician, scientist, machine learning expert, and engineer. Product Science Managers maintain the overall vision and specific purposes of the embedded Product Scientist leading the team to achieve maximum impact.

You understand that the best managers serve their teams by removing roadblocks and giving individual contributors autonomy and ownership. You have high standards and will take pride in Indeed and push teammates to be better. You have delivered challenging technical solutions at scale. You have led Data Science or Engineering teams, and earned the respect of talented practitioners. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.


Responsibilities
  • Maintain the overall vision and specific purposes of the embedded Product Scientist leading the team to achieve maximum impact
  • Lead Data Science or Engineering teams, and earned the respect of talented practitioners
  • Work together with your teams by removing roadblocks and giving individual contributors autonomy and ownership
  • Deliver challenging technical solutions at scale
  • You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development


Who You Are

Who You Are

  • Significant prior success as a Data, Product, or Decision Scientist working on challenging problems at scale
  • Bachelor’s degree required in Mathematics, Statistics or Computer Science or equivalent field required
  • 3+ years of industry experience, with expertise in statistical modeling and/ or machine learning
  • Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring
  • Strong ability to coach Product Scientists, helping them improve their skills and grow their careers


Who we are

We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad, Dublin, Aberdeen and Vancouver, we are improving people's lives all around the world, one job search at a time.

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*comScore Total Visits, September 2021)

Salary Range Disclaimer

The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits.

Salary Range Transparency

US Remote 154,000 - 224,000 USD per year

Austin 154,000 - 224,000 USD per year

NYC Metro Area 171,000 - 247,000 USD per year

SF Bay Area 180,000 - 260,000 USD per year

Seattle 164,000 - 239,000 USD per year

Equal Opportunities and Accommodations Statement

Indeed is a proud equal opportunity employer. We are deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We are committed to creating an environment where all employees feel included and have a strong sense of belonging. All qualified applicants will be considered for employment without regard to race, color, religion, gender, gender identity or expression, family/marital status, refugee or immigration status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, veteran status, or any other non-merit based or legally protected grounds.
We encourage people from all backgrounds to apply and join us in our mission of helping people get jobs.Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at 1-855-567-7767, or by email at TAhelp@indeed.com at least one week in advance of your interview.
Fair Chance Hiring
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals and individuals with arrest or conviction records, a fair chance at employment. We also comply with state and local requirements such as the San Francisco Fair Chance Ordinance.

Our Policies and Benefits

View Indeed's Applicant Privacy and Accessibility Policies - https://www.indeed.com/legal/indeed-jobs Learn about our global employee perks, programs and benefits - https://benefits.indeed.jobs/
Where legally permitted, Indeed requires all individuals attending or working out of Indeed offices or visiting Indeed clients to be fully vaccinated against COVID-19. For positions that can only be performed at an Indeed office, candidates must be fully vaccinated against COVID-19 and present acceptable proof of vaccination by the date of hire as a condition of employment. For positions that require some in-office work or in-person client meetings, exceptions to these in-office or in-person job requirements may be made at the discretion of the business through June 2022, at which point full vaccination will be required. Indeed will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19 there should have been a two week period after receiving the second dose (or any government recommended booster shot) in a 2-dose COVID-19 vaccine series, or a two week period after receiving a single-dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.


Reference ID: 41370

Posted on : 2 years ago