What are the responsibilities and job description for the Senior Data Scientist, Product Analytics position at PulseRise Technologies?
HYBRID SCHEDULE IN NYC
We are looking for a Senior Data Scientist, Product Analytics to help shape product strategy through rigorous analysis, experimentation, and insight generation. In this role, you will partner closely with Product Managers to drive data-informed decisions that directly impact how users regain financial stability. You will translate complex data into clear recommendations, design experiments, and measure product performance across key success metrics. This position is ideal for someone who combines strong statistical depth with business intuition and communication skills. You will operate at the intersection of product, engineering, and operations in a highly analytical, mission-driven fintech environment.
Details
Location: NYC (Hybrid)
Work Model: Hybrid
Employment Type: Full-time
Industry: Financial Technology
Start Date: ASAP
Key Responsibilities
Act as a strategic analytics partner to Product Managers
Design and evaluate experiments (A/B testing and beyond)
Analyze trends across core product and business metrics
Generate actionable insights to improve user outcomes and product performance
Build data visualizations and dashboards for cross-functional stakeholders
Become a subject matter expert in January’s data ecosystem
Support Operations and Client Success teams with data-driven insights
Contribute to building a data-first culture across the organization
Requirements
4 years of experience in product analytics or data science
Strong experience with Python or R for statistical analysis
Solid to advanced understanding of statistics and experimentation methodologies
Experience analyzing product performance metrics and user behavior
Strong ability to derive insights from complex datasets
Nice to Have
Strong data storytelling and presentation skills
Strategic mindset with business impact awareness
Ability to work independently with minimal supervision
Experience in fintech, financial services, or regulated environments
Interview Process
Recruiter Screen
Hiring Manager Screen
Case Study / Panel
Onsite Interviews
Culture / CEO Interview
Offer
We are looking for a Senior Data Scientist, Product Analytics to help shape product strategy through rigorous analysis, experimentation, and insight generation. In this role, you will partner closely with Product Managers to drive data-informed decisions that directly impact how users regain financial stability. You will translate complex data into clear recommendations, design experiments, and measure product performance across key success metrics. This position is ideal for someone who combines strong statistical depth with business intuition and communication skills. You will operate at the intersection of product, engineering, and operations in a highly analytical, mission-driven fintech environment.
Details
Location: NYC (Hybrid)
Work Model: Hybrid
Employment Type: Full-time
Industry: Financial Technology
Start Date: ASAP
Key Responsibilities
Act as a strategic analytics partner to Product Managers
Design and evaluate experiments (A/B testing and beyond)
Analyze trends across core product and business metrics
Generate actionable insights to improve user outcomes and product performance
Build data visualizations and dashboards for cross-functional stakeholders
Become a subject matter expert in January’s data ecosystem
Support Operations and Client Success teams with data-driven insights
Contribute to building a data-first culture across the organization
Requirements
4 years of experience in product analytics or data science
Strong experience with Python or R for statistical analysis
Solid to advanced understanding of statistics and experimentation methodologies
Experience analyzing product performance metrics and user behavior
Strong ability to derive insights from complex datasets
Nice to Have
Strong data storytelling and presentation skills
Strategic mindset with business impact awareness
Ability to work independently with minimal supervision
Experience in fintech, financial services, or regulated environments
Interview Process
Recruiter Screen
Hiring Manager Screen
Case Study / Panel
Onsite Interviews
Culture / CEO Interview
Offer