TL;DR

Data Scientist (Fintech): Leveraging data to drive product decisions and optimize user experiences, uncovering strategic opportunities for growth with an accent on designing and analyzing A/B tests and building statistical/predictive models. Focus on translating complex data insights into actionable business recommendations and communicating findings to both technical and non-technical stakeholders.

Location: New York City, London (Office)

Salary: $250K - $300K

Company

%hirify_global% is focused on a fast-paced consumer-facing product within the fintech or equivalent industry.

What you will do

Design, run, and meticulously analyze A/B tests to optimize our consumer product experience.
Proactively identify critical problems and strategic opportunities through deep-dive data analysis and exploratory research.
Build and maintain dashboards to track key performance metrics (KPIs) and visualize insights for quick comprehension by stakeholders.
Develop statistical and predictive models to understand complex user behavior and segment the user base.
Collaborate with product management and engineering teams to implement data-driven solutions.
Drive projects independently from problem identification through solution design, implementation, and impact measurement.

Requirements

2-3+ years of data science experience at a high-growth startup, scale-up, or equivalent (FAANG/Fintech).
Expert proficiency with Python/R and SQL/BigQuery for data manipulation, analysis, and modeling.
Strong experience designing, running, and analyzing statistically robust A/B tests on consumer-facing products.
Proven ability to work autonomously, managing entire data science projects from ideation to implementation.
Demonstrated experience translating complex data insights into actionable business and product recommendations.
Excellent communication skills, with the ability to articulate and present complex findings clearly to diverse audiences.

Nice to have

Experience with cryptocurrency and blockchain data.
Strong data visualization skills (especially using tools like Grafana).
Experience working with event tracking data (especially FullStory or equivalent product analytics tools).
Advanced knowledge of statistical methods and causal inference techniques.
Familiarity with Machine Learning methods and their practical applications.

Culture & Benefits

Highly competitive base salary and equity/tokens package.
Flexible work arrangements, promoting a healthy work-life balance.
Comprehensive health benefits.
Dedicated professional development budget for continuous learning.
Collaborative, fast-paced environment with opportunity to shape the future of a cutting-edge product/industry.