Staff Data Scientist, AI Products

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 a Staff Data Scientist for this new division, 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

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

L

everage data-driven insights to proactively identify most impactful opportunities, and

directly influence

product

roadmaps

and strategies

P

erform exploratory

and deep-dive

a

nalysis

to understand

u

ser workflows and engagement patterns on AI features

,

propose

hypothesis

,

and design & execute experiments

with great rigor and efficient data techniques

Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

Identify what matters most and prioritize ruthlessly for the area you will own

C

ontribute to

a culture of strong technical ownership

, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact

Work with cross-functional teams

(including

Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

9+

years experience

of leveraging

data-driven analysis

to influence

product roadmap and

business decision, preferably

in a tech company

Proven track record of being able to work independently

,

driver

measurable business impact

,

and proactively engage with business stakeholders with minimal direction

Proficiency

in

SQL

, Python

or

other

programming/scripting

languages

Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees

Ability to

provide data insights

and recommendations

for 0

→

1 product even when sample size is small

Strong 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 and growth analytics

Compensation

US Zone 1

$219,300

—

$296,700 USD

US Zone 2

$197,400

—

$267,000 USD

US Zone 3

$175,400

—

$237,400 USD