Manager, Data Science

August 29

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Description

• Manage and mentor a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning. • Shape and implement a data-driven strategy that aligns with business goals, ensuring the data science efforts directly impact key company objectives. • Manage the end-to-end lifecycle of data science projects, from ideation and scoping to deployment and iteration, ensuring timely and successful delivery. • Lead the development of advanced predictive models and machine learning algorithms to forecast trends, optimize processes and inform strategic decisions. • Guide the organization through the implementation of advanced experimentation techniques, with A/B testing and beyond. • Work with product, engineering, marketing and business teams to integrate data science solutions into products and operations, driving cross functional success. • Work closely with stakeholders at all levels to scope projects, prioritize tasks, and deliver high-impact data science solutions solutions. • Encourage the exploration of cutting-edge data science techniques while balancing the need for practical, business-focused solutions that deliver measurable impact.

Requirements

• 7+ years experience as a data scientist or similar role. • 2+ years experience managing a team. • Proficiency in data science methodologies, including machine learning, statistical modeling, advanced experimentation and causal inference with hands on experience in Python and SQL. • Ability to align data science initiatives with broader business goals, translating complex data insights into actionable strategies. • Demonstrated success in managing the full lifecycle of data science projects, from conception to implementation, with strong organizational and time-management skills. • Familiarity with machine learning methods (regression, classification etc) and ability to translate research into actionable models. • Excellent communication skills with the ability to convey complex data insights to both technical and non technical stakeholders. • Experience working cross functionally with product, engineering, marketing and business teams to integrate data science solutions into broader business processes. • A creative thinker with a passion for using data to solve complex business problems, continually seeking out new methodologies and tools to enhance the team’s capabilities.

Benefits

• Market competitive pay. • Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee-only plans and 85% for employee + dependent plans) and employer HSA contributions. • 401(k) retirement plan with company matching. • Hybrid workplace with fully remote flexibility for many roles. • Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses. • A variety of mental and wellness programs to support employees. • Generous paid parental leave and family planning stipend. • Company provided life and disability coverages. • Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday. • Learning & development and recognition programs. • “Gives Back” Program where employees can nominate a fundraiser every week for a donation from the company. • Inclusion, diversity, equity, and belonging are vital to our priorities. • Employee resource groups. • Your work has a real purpose and will help change lives on a global scale. • You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. • We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. • We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!