Technical Product Manager, Data Science Job at The Chop Shop, Pasadena, CA

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  • The Chop Shop
  • Pasadena, CA

Job Description

Job Description

Job Description

PASADENA, CA / PRODUCT MANAGEMENT / FULL-TIME / HYBRID

The Chop Shop is a fast growing search arbitrage specialist, identifying and removing inefficiencies between the largest digital publishers and networks to monetise their customers more efficiently. Our team is made up of passionate entrepreneurs and industry veterans who have built and managed multiple million-dollar companies, as well as over 100 talented engineers, ad creators, product and project managers, data scientists, and buy and sell-side experts.

Are you a seasoned Product Manager with a passion for data science and analytics? The Chop Shop is searching for a senior product manager to join our dynamic Data Science team. In this role, you'll have the exciting opportunity to drive the product direction for our talented team, who are dedicated to building cutting-edge models that power our expansive marketing platform.

Our products have an incredible reach, touching the lives of hundreds of millions of users each month. Imagine the scale of impact as our platform processes millions of data points every single day. This is where you come in.

The ideal candidate for this role will have a solid background in managing technical data science and analytics projects. You'll excel at balancing stakeholder requests and collaborating cross-functionally with our engineering and operations teams. Additionally, your ability to write detailed functional specifications will be key in effectively communicating and executing project requirements.

With millions of data points being ingested on a daily basis, your work will directly impact and automate thousands of critical decisions that drive the core of our business. This is a truly unique opportunity to contribute to the development of advanced machine learning and AI capabilities within a company that maintains the pace and innovation of a startup, all while benefiting from the data and scale of a successful company.

So, if you're ready to embark on a journey of innovation, building new ML and AI capabilities, and making a tangible impact on a global scale, this role at The Chop Shop might just be something for you. Join us and be part of our vibrant, forward-thinking team as we continue to revolutionize the industry!

Your Role:

  • Define detailed product specifications pertaining to our data science & analytics efforts
  • Identify, prioritize & evangelize the areas that can get the biggest impact from using data science techniques
  • Create a prioritized roadmap of Data Science projects, and define measurable success criteria for them
  • Be a thought partner for counterparts in Product, Engineering & Operations to recommend technical solutions, and influence the roadmap
  • Shape the ML platform and ensure it’s performance & quality is measurable using business metrics
  • Own the definition, tracking, and reporting on KPIs for all data science products

Our expectations of you:

  • 2+ years of product management experience in integrating and managing data science products, and data analytics
  • Proficient in scripting languages (Python/R)Advanced SQL skills
  • Experience with NLP pipelines
  • Experience with experimentation (A/B testing, RDD, diff-in-diff experiments)
  • Knowledge of data visualization techniques
  • Engineering or computer science education and/or relevant technical background
  • Excellent written, verbal, and leadership skills
  • ETL experience is a plus

And here's what we've got waiting for you:

  • Competitive salary + bonus
  • Hybrid Work Environment
  • Generous PTO + company holidays
  • Open sick time
  • Up to 90% covered Medical, Dental, Vision for employees
  • Tasty office lunches
  • 401k with match
  • Health & Dependent Care Flex Spending Account
  • Paid professional development
  • Leadership & growth opportunities
  • Virtual company and team building events

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Job Tags

Holiday work, Full time, Remote job,

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