Staff Data Scientist (Product)

Job Description

Apollo.io, a leading go-to-market solution, is seeking a highly analytical and impact-driven Staff Data Scientist to shape its product strategy and decision-making through data. The role focuses on optimizing existing products and supporting early-stage product initiatives, working closely with cross-functional teams to drive product innovation and optimization through data-driven insights.Apollo.io is looking for someone with a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment.What this role involves:

• Translating business needs into data analysis and actionable insights.
• Working closely with product managers, engineers, and other cross-functional stakeholders.
• Developing and maintaining a scalable, reliable, and accurate analytics infrastructure.
• Establishing and maintaining best practices for data collection, analysis, and reporting.
• Delivering actionable insights and recommendations focused on landing tangible product impact.
• Helping foster a culture of data-driven decision-making.
• Ensuring the integrity and accuracy of the data used for analysis and reporting.
• Supporting 0 to 1 product launches by identifying key metrics and analyzing early-stage product data.

Requirements:

• Strong experience in product analytics or a similar data-focused role.
• Expertise in translating complex data into actionable insights.
• Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude).
• Experience in building and maintaining reliable analytics infrastructures.
• Excellent communication skills.
• Degree in Analytics, Applied Mathematics, Economics, Statistics, or related field.
• Deep experience in working with exploratory analysis projects.
• Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc.
• Proven ability to thrive in a fast-paced, dynamic startup environment.

What this role offers:

• Opportunity to impact product strategy and decision-making.
• Chance to work with a fast-growing SaaS company.
• A culture of continuous improvement and data-driven decision-making.
• Opportunity to work with AI and automation.