Manager, Data Science
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Role details
Tech stack
Job description
As the Manager, Data Science, you’ll lead a team of data scientists as they apply data science to solve complex business problems. You’ll play a key role in shaping the direction of the Data Science organization by partnering with other leaders across the company and working alongside the Vice President of Data Science to evolve our practices, strategy, and impact.
In this role, you’ll work across business and technology teams to align on a vision, influence priorities, and execute against high-impact initiatives. Just as importantly, you’ll help grow great people - creating an environment where team members can learn, develop, and do great work.
About the role
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Lead and mentor a team of data scientists on performance, growth, production, and day-to-day responsibilities
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Partner across business and technology organizations to align on priorities, influence strategy, and execute against a shared vision
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Query, analyze, and summarize large and complex datasets to drive business strategy and decision-making
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Apply statistical analysis, machine learning, and predictive modeling techniques to solve business problems
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Support the development and scaling of internal and user-facing data products
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Work with team members and stakeholders to translate business processes and challenges tractable data science problems
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Monitor the performance of implemented solutions and conduct recurring evaluations to identify opportunities for improvement
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Generate simulations, experiments, and what-if analyses to support strategic decision-making
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Pull and create reports necessary to support the team and senior leadership in tracking strategic goals and outcomes
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Communicate effectively with both technical and non-technical audiences, translating complex concepts into actionable insights
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Help shape and evolve best practices, standards, and processes across the Data Science organization
Requirements
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3 years of experience in a related field
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2 years of experience in management and administration
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Bachelor’s degree in computer science, statistics or a related field
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Proficiency in the Microsoft Office suite
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Proficiency in Python
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Proficiency in SQL, noSQL and ElasticSearch
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Knowledge of Statistics, Natural Language Processing (NLP), and machine learning
Benefits & conditions
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $128,500.00-$276,000.00 . The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here (https://url.us.m.mimecastprotect.com/s/_BJHClY8MQF9kpgWSGf8CzlIAe?domain=myrocketcareer.com/) . The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate .] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.
About the company
Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we’re a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
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