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Dropbox logo
Dropbox

Dropbox is the one place to keep life organized and keep work moving.

Senior Data Science Manager, AI Products

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 1,001-5,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

69 days ago

Salary

$210.4K - $284.6K / year

Seniority

Senior

Bachelor Degree9 yrs expEnglishPythonSQL

Job Description

Senior Data Science Manager, AI Products

Dropbox

Role DescriptionHow many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities - Manage and scale a high performing team of data scientists - Coach and mentor data scientists of varying experiences to ensure their continued growth - Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment - Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies - Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written - Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate - Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth - Identify what matters most and prioritize ruthlessly Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company - 3+ years of experience directly managing data scientists or product analysts - Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact - Deep understanding of statistical analysis, experimentation design, and common analytical techniques - Experience using data to inform product and business decisions that led to measurable outcomes - Exceptional verbal and written communication skills Preferred Qualifications - Experience in startups or building 0→1 products - Expertise in using data to inform AI/ML product development - Background in SaaS product CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $210,400—$284,600 USD US Zone 3 $187,000—$253,000 USD

Benefits

  • 401(K), 401(K) matching, Adoption Assistance, Childcare benefits, Company equity, Company-sponsored outings, Continuing education stipend, Customized development tracks, Dental insurance, Disability insurance, Volunteer in local community, Family medical leave, Fitness stipend, Flexible Spending Account (FSA), Flexible work schedule, Generous parental leave, Generous PTO, Company-sponsored happy hours, Health insurance, Job training & conferences, Life insurance, Charitable contribution matching, Mentorship program, Paid volunteer time, Online course subscriptions available, Paid holidays, Pair programming, Paid sick days, Partners with nonprofits, Performance bonus, Promote from within, Recreational clubs, Lunch and learns, Relocation assistance, Remote work program, Restricted work hours, Return-to-work program post parental leave, Sabbatical, Free snacks and drinks, Team based strategic planning, OKR operational model, Team workouts, Continuing education available during work hours, Tuition reimbursement, Unlimited vacation policy, Vision insurance, Wellness programs, Some meals provided, Mental health benefits, Home-office stipend for remote employees, Fertility benefits, Employee resource groups, Employee-led culture committees, Quarterly engagement surveys, Employee awards, Transgender health care benefits, Abortion travel benefits, Mother's room, Personal development training, Apprenticeship programs, Flexible time off

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