Product Science Manager
- Full-Time
- New York, NY
- Indeed
- Posted 2 years ago – Accepting applications
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/
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Reference ID: 41370