Staff Data Scientist (Product)

Position Overview:

We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment.

What You’ll Do:

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products.

• Work closely with product managers engineers and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions.

• Develop and maintain a scalable reliable and accurate analytics infrastructure to support product decisions.

• Establish and maintain best practices for data collection analysis and reporting.

• Deliver actionable insights and recommendations focused on landing tangible product impact.

• Help foster a culture of data-driven decision-making and continuous improvement within the product teams.

• Ensure the integrity and accuracy of the data used for analysis and reporting.

• While the primary focus is on existing products support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.

What You Bring:

• Strong experience in product analytics or a similar data-focused role with a proven ability to impact product strategy and decision-making through data.

• Expertise in translating complex data into insights that are actionable for cross-functional teams.

• Proficiency with data analytics tools and platforms (e.g. Looker Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.

• Experience in building and maintaining reliable analytics infrastructures.

• Excellent communication skills with the ability to clearly present data insights to both technical and non-technical stakeholders.

• Experience with 0 to 1 product initiatives is a plus though not required.

• A high level of accountability a passion for continuous learning and the ability to thrive in a fast-paced dynamic environment.

Qualifications:

• 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 is required.

• Expert-level proficiency in influencing product strategy with SQL A/B testing machine learning statistical analysis and related tools like R Python SAS etc. is required.

• Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g. aha/habit moments) is a huge plus.

• Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g. Amplitude Heap Mixpanel) and analyzing events within those products is essential.

• Proven ability to thrive in a fast-paced dynamic startup environment with a high level of adaptability and a strong product sense ensuring insights align with customer needs and product goals.

The listed Pay Range reflects base salary range except for sales roles the range provided is the role’s On Target Earnings ('OTE') range meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors including the candidate’s experience qualifications and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year flex PTO and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical dental and vision benefits.

Annual Pay Range

$198000—$278000 USD