Staff Data Scientist - Monetization Science

Staff Data Scientist - Monetization Science 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 2023)
Day to Day
Indeed is the world's largest marketplace for jobs, and we have a unique dataset of jobs, resumes, applications, and outcomes. As a Staff Data Scientist specializing in Monetization Science, you will be at the forefront of enhancing and optimizing our revenue growth. You will play a key role in driving innovation and efficiency in how we deliver value and monetize it with our platform. The ideal candidate will bring a deep understanding of data science, machine learning, and optimization methodologies to develop and implement robust solutions.
As a Staff Data Scientist, you will own one of the team's major workstreams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same. Additionally, you will collaborate with cross-functional teams, evangelize your team's work, and stay updated with the latest advancements in the field.
Responsibilities Collaborate with cross-functional teams to enhance and optimize revenue for improved value delivery, utility, monetization, as well as overall user experience.Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while collaborating with other teams.Define and clarify project priorities, deliverables, and success criteria in collaboration with cross-functional teams.Act as a bridge between technical and non-technical stakeholders, facilitating effective communication and understanding of project goals and outcomes.Mentor and grow other software engineers, data scientists, and Machine Learning Engineers across teams.Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them.Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR).Skills/Competencies
We are looking for someone with a deep interest in designing and building machine learning systems, someone who loves thought-provoking assignments, is eager to learn, and wants to work with a variety of technologies to "help people get jobs".
Bachelors in Computer Science, Mathematics, or related fields.5+ years of industry experience as an AI Engineer, Data Scientist, or Machine Learning Engineer.Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams.Solid knowledge of data structures and algorithms.Sense of ownership and accountability as a key contributor in the technical and product domains.Knowledge and hands-on experience working on Deep Learning Libraries (like Torch, TensorFlow, etc.).Excellent written and verbal communication in English, effective with technical and business audiences.Salary Range Transparency
Austin, Metro Area: 164,000 - 238,000 USD per year
New York City, Metro Area: 179,000 - 259,000 USD per year
Seattle, Metro Area: 183,000 - 266,000 USD per year
San Francisco, Metro Area: 191,000 - 276,000 USD per year
US Remote: 164,000 - 238,000 USD per year
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
Benefits - Health, Work/Life Harmony, & Wellbeing
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://benefits.indeed.jobs.
Equal Opportunities and Accommodations Statement
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Reference ID: 44300
Job Type: Full-time
Pay: $164,000.00 - $238,000.00 per year
Benefits: 401(k) matchingDental insuranceHealth insuranceParental leaveVision insuranceCompensation Package:Bonus opportunitiesRSUSchedule:Monday to FridayEducation:Bachelor's (Required)Experience:Python: 4 years (Preferred)Machine learning: 5 years (Preferred)Work Location: Remote

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