Senior Data Scientist, Product Analytics & Growth

eBSI Export Academy; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

equity

company bonus or sales commissions/bon

401(k) plan

at least 10 paid holidays per year

flex PTO

parental leave

employee assistance program and wellbe

global travel coverage

life/AD&D/STD/LTD insurance

FSA/HSA and medical, dental, andvision

Job summary

Apollo .io is seeking a senior data scientist to shape product strategy through data. You will optimize existing products while supporting early-stage initiatives, partnering with product managers and engineers to extract insights and drive decisions.

The role emphasizes building reliable analytics infrastructure, managing data quality, and delivering actionable recommendations to improve user experience at scale in a fast-paced environment.

Qualifications

• Degree in Analytics, Applied Mathematics, Economics, Statistics, or related field.
• Experience with cohorting, time series analysis, funnel analysis/optimization.
• Expert in SQL, A/B testing, machine learning, statistics; familiarity with R, Python, SAS.

Responsibilities

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience for existing and new products.
• Collaborate with product managers, engineers, and stakeholders to define key questions and data solutions.
• Develop and maintain scalable analytics infrastructure to support product decisions.
• Establish best practices for data collection, analysis, and reporting.
• Deliver actionable insights to land tangible product impact and drive data-driven decisions.

Skills

SQL

A/B testing

Machine learning

Statistical analysis

Python

R

SAS

Exploratory data analysis

Product analytics

Data visualization

Education

Analytics degree

Applied Mathematics

Economics

Statistics

Tools

Looker

Amplitude

Job description

Apollo .io is seeking a senior data scientist to shape product strategy through data. You will optimize existing products while supporting early-stage initiatives, partnering with product managers and engineers to extract insights and drive decisions.

The role emphasizes building reliable analytics infrastructure, managing data quality, and delivering actionable recommendations to improve user experience at scale in a fast-paced environment.