Data Science Manager - Growth
San Francisco, CA, New York City, Portland, OR, or Remote within Canada or United States
Applications have closed
Mercury
Confidently run all your financial operations with software built from a powerful banking core. Scale with business bank accounts & debit and credit cards.In 1923, Claude Hopkins published Scientific Advertising which many say has the first descriptions of A/B testing and using coupons for attribution. Behind the book was a team that meticulously designed, executed, and measured these campaigns that helped set the standard for direct marketing that is used to this day.
We are looking for a Senior Data Science Manager who can build the measurement behind our growth engines with a high bar for quality while still executing with precision. In this role, you’ll be responsible for deeply understanding our customers, the systems of distribution for Mercury, designing how we are driving towards the overarching business and financial goals. You’ll work closely with a product, engineering, marketing, and sales teams to drive topline growth for Mercury.
Responsibilities
- Lead a team of 5 senior IC data scientists supporting Product, Marketing, and Revenue (Sales/Partnerships)
- Proactively discover and define opportunities to level up the craft, strategy, and execution of our growth reporting.
- Set the direction and define prioritized roadmaps for the team; ensuring we’re focused on work that solves user problems, enables product teams, and maximizes customer valueWork in ambiguity and be able to set and achieve priorities that find the perfect balance between both user and business needs
- Translate qualitative and quantitative data and derive insights that inform product work; communicate these with the team
- Partner closely with finance on goal setting, ROI calculation, and strategic investment decisions
We’re looking for a motivated product leader who cares deeply about craft and feels energized by opportunities to work across product teams to deliver a cohesive experience for our users. A successful candidate will likely have:
- 5+ years of analytics experience, with 3+ years managing analytics teams
- Experience in Growth, particularly product led growth practices
- Ability to balance across multiple channels for growth, and make reasonable tradeoffs about perfect measurement vs smart investment decisions
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): $237,600 - $279,500 USD
- Canadian employees (any location): CAD $216,200 - $254,300
Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust, Members FDIC.
#LI-RA1
Tags: A/B testing Banking CAD Claude Engineering Finance FinTech Survey data Testing
Perks/benefits: Competitive pay Equity / stock options Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Engineer II jobs
- Open Data Science Manager jobs
- Open Software Engineer jobs
- Open Senior Software Engineer jobs
- Open Research Scientist jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open BI Analyst jobs
- Open Sr Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Business Intelligence Engineer jobs
- Open Sr. Data Scientist jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Engineer III jobs
- Open Azure Data Engineer jobs
- Open Data Analyst II jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Product Data Analyst jobs
- Open Tableau-related jobs
- Open Data management-related jobs
- Open Excel-related jobs
- Open Power BI-related jobs
- Open APIs-related jobs
- Open Data quality-related jobs
- Open Deep Learning-related jobs
- Open LLMs-related jobs
- Open PyTorch-related jobs
- Open Data pipelines-related jobs
- Open Finance-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Generative AI-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Data visualization-related jobs
- Open Kubernetes-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Docker-related jobs
- Open Data governance-related jobs
- Open Business Intelligence-related jobs
- Open Git-related jobs
- Open Databricks-related jobs