채용

Senior Data Science Manager
San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
·
Remote
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Full-time
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3d ago
In 1923, Claude Hopkins published Scientific Advertising, introducing early ideas around experimentation, attribution, and measurable decision-making. Behind the book was a team that meticulously designed, executed, and measured campaigns — setting the foundation for modern, data-driven growth.
At Mercury, that mindset extends beyond marketing. It spans how we acquire customers, how we activate and convert them, and how we design product experiences that drive long-term value.
We’re looking for a Senior Data Science Manager to lead the data science powering Mercury’s revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and Sales, drives growth product experimentation across activation and conversion, and partners on core product experiences like Spend, Expense Management, and Invoicing.
In this role, you’ll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle — with a high bar for rigor and a bias toward execution. You’ll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.
Here are some things you’ll do on the job:
- Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences
- Define the measurement and experimentation strategy across the customer lifecycle — from acquisition and activation to monetization, expansion, and retention — ensuring our investments are grounded in rigorous analysis and trusted data
- Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity
- Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions
- Translate complex quantitative signals into clear insights that influence product direction and revenue strategy
- Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences
- Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact
You should:
- Have 10+ years of experience, with 3+ years leading high-performing data teams
- Bring deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes
- Demonstrate strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
- Be highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs
- Have experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains
- Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact
If this role interests you, we invite you to explore our public demo at personal-demo.mercury.com.
The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
- US employees (any location): $239,000 - $298,800
- Canadian employees (any location): CAD 225,900 - 282,400
Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.
Please see the independent bias audit report covering our use of Covey for more information.
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Mercury 소개

Mercury
AcquiredMercury was a brand of medium-priced automobiles that was produced by American manufacturer Ford Motor Company between the 1939 and 2011 motor years. Created by Edsel Ford in 1938, Mercury was established to bridge the gap between the Ford and Lincoln model lines within Ford Motor Company.
1,001-5,000
직원 수
Dearborn
본사 위치
리뷰
3.9
10개 리뷰
워라밸
3.8
보상
3.2
문화
4.1
커리어
2.8
경영진
3.4
72%
친구에게 추천
장점
Flexible work arrangements and remote options
Good benefits and health coverage
Supportive and friendly team environment
단점
High workload and overwhelming demands
Limited career advancement opportunities
Management and communication issues
연봉 정보
24개 데이터
Mid/L4
Senior/L5
Mid/L4 · LEAD DATA ENGINEER
1개 리포트
$182,818
총 연봉
기본급
$140,629
주식
-
보너스
-
$182,818
$182,818
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
20%
경험
긍정 20%
보통 80%
부정 0%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
뉴스 & 버즈
Mercury General (MCY) Analysis: 15.3% Return vs. Slowing Revenue Growth - News and Statistics - IndexBox
IndexBox
News
·
3d ago
Phoenix Mercury announce 2026 training camp roster - Arizona Sports
Arizona Sports
News
·
3d ago
2 Zodiac Signs Receive News That Changes Everything as Mercury Sextiles Pluto - People.com
People.com
News
·
4d ago
Phoenix Mercury offseason defined by continuity as WNBA heads into a new era - Cronkite News
Cronkite News
News
·
4d ago