MMercury logo

Mercury

Financial Services · 1.8k people

Senior Data Scientist - Growth

Posted 9 Oct

What’s this role about? You will partner with cross-functional leaders to shape the growth strategy, size opportunities, and prioritize the product roadmap. Additionally, you will own the growth funnel metrics and design experiments to drive customer acquisition, activation, and retention.

Portland, Oregon
Remote
$201K – $251K
Full-time
5-10 years exp

Skills required

Tap the ones you have

Want to get this job faster?

Apply with AI

No more application formsOur AI fills them in and submits them for you. You just pick the jobs.

Find hiring manager

Reach the person hiringEmail the person behind the job, not the inbox.

Company

About Mercury Mercury is the fintech ambitious companies use for banking* and all their financial workflows. With a powerful account at the center of their operations, companies can make better financial decisions and ensure that every dollar spent aligns with company priorities. That's why over 300K startups choose Mercury to confidently run all their financial operations with the precision, control, and focus they need to operate at their best. To learn more, visit Mercury.com. *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury

The fintech more than 450K ambitious companies trust with their finances.

MMercury logo
1,001-5,000 employees
Financial Services
2017
Privately Held
131k LinkedIn followers
Raised $657.1M

Responsibilities

  • Partner with Growth product, design, engineering and marketing leaders to identify the highest-impact business questions, and influence what gets built and why.
  • Own the growth funnel end to end, from first visit through signup, approval, activation and retention, building the metrics, driver trees and narratives that show where we’re winning and where we’re not.
  • Size opportunities and help prioritize the Growth roadmap and annual planning, making clear recommendations even when data is incomplete.
  • Design, analyze and communicate experiments (A/B tests and quasi-experimental methods) that tell teams whether a change worked and what to do next.
  • Right-size your work to the decision: fast and directional when that’s what’s needed, rigorous when the stakes call for it.
  • Collaborate with other Data Scientists, Data Engineers and Analytics Engineers to build trusted, self-serve growth metrics.
  • Communicate findings and recommendations to audiences at all levels, including executives, with a clear point of view that improves entrepreneurs’ lives and generates revenue for Mercury.
  • Have 6+ years of experience in data science, product analytics or growth analytics, including 3+ years partnering closely with product growth teams.
  • Have strong product sense and a track record of shaping product direction, not just measuring it, including times your work changed what a team built.
  • Have deep experience with experiment design and analysis, as well as funnel, cohort and retention analysis.
  • Have fluency in SQL and a statistical programming language (e.g. Python, R).
  • Have experience with product analytics and BI tools such as Amplitude, Hex, Omni or similar; familiarity with Snowflake and dbt is a plus.
  • Be comfortable with ambiguity and with respectfully disagreeing with senior stakeholders, backed by evidence.
  • Be a clear, concise communicator who leads with the point and tailors the message to technical and non-technical audiences.
  • Nice to have: experience in consumer or SMB fintech, or with mobile product analytics.
  • #LI-RA1
  • Total Rewards
  • The total rewards package at Mercury includes base salary, equity (stock options/RSUs), 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)
  • $200,700—$250,900 USD
  • Canadian employees (any location)
  • $189,700—$237,100 CAD

Qualification

Data & AnalyticsTechnologySoftwareFinance & AccountingMarketing

Benefits

  • Base salary
  • Equity
  • Stock options
  • RSUs

Interested in this role?

Recommended jobs

  • DDeloitte logo

    Supply Chain Optimization Data Scientist Senior Consultant

    Deloitte·Tampa

    $116.2K – $229.1K
    Hybrid
    Full-time
    2-5 years exp

    Skills required

    PythonSQLOptimization modeling
  • TTempus AI logo

    Senior Scientist II, Data Solutions

    Tempus AI·Boston

    $140K – $210K
    On-site
    Full-time
    2-5 years exp

    Skills required

    Data scienceBioinformaticsBiostatistics
  • DDeloitte logo

    Sr. Data Scientist

    Deloitte·San Jose

    $124.7K – $207.8K
    Hybrid
    Full-time
    5-10 years exp

    Skills required

    Data scienceSQLPython