Apollo. io
SaaS
StaffDataScientistProduct
“Staff Data Scientist - Product at Apollo. io. Skills: Product analytics, Data science, Machine learning, Statistical analysis. Translate business needs into data analysis and actionable. Optimize product performance and user experience”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience, Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization, Expert-level proficiency in influencing product strategy with SQL, A testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc, Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with Product Analytics tools (e.g., Looker, Amplitude), Experience with 0 to 1 product initiatives, Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments)
What You'll Do.
Translate business needs into data analysis and actionable
Optimize product performance and user experience
Support early-stage product initiatives
Work closely with product managers
Identify critical product questions
Provide data-driven solutions
Develop and maintain scalable
and accurate analytics
Support product decisions
Establish and maintain best practices for data collection
Deliver actionable insights and recommendations
Focus on landing tangible product impact
Foster a culture of data-driven decision-making
Foster a culture of continuous improvement
Ensure the integrity and accuracy of the data
Support 0 to 1 product launches
Analyze early-stage product data
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineers; Stakeholders
Communication Scope
Present data insights
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