Job Highlights
AI-extracted key information
The Senior Data Scientist at Dropbox will play a crucial role in shaping the company's AI-first mission by collaborating with cross-functional teams to build scalable data foundations and drive impactful AI/ML initiatives. This position requires leveraging data-driven insights to influence product roadmaps and strategies while fostering a culture of technical ownership.
Salary Range
$174k - $235k/year
Experience Level
Senior Level
Education Requirements
bachelor degree
Senior Data Science Manager, AI Products
Posted 1 months ago
Full-Time
Employment Type
Remote
Work Location
USD173,700 - USD234,900
YEAR
About This Role
Role Description
How 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
M
anage
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
driv
e
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
Compensation
US 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
Compensation
$173,700 - $234,900
Annual salary
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