[Remote] Senior Data Scientist, Product at Apollo.io

Candidates must possess a degree in an analytical field such as Analytics, Applied Mathematics, Economics, or Statistics, or have equivalent training and experience. Deep experience is required in exploratory analysis projects involving cohorting, time series analysis, and funnel analysis/optimization. Expert-level proficiency is also required in influencing product strategy using SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, or SAS. Experience supporting SaaS (Product-Led Growth) companies by uncovering gaps and recalibrating is necessary. Strong experience in product analytics or a similar data-focused role with a proven ability to impact product strategy and decision-making through data is essential. Expertise in translating complex data into actionable insights for cross-functional teams is required. Experience in building and maintaining reliable analytics infrastructures and excellent communication skills for presenting data insights to technical and non-technical stakeholders are necessary. A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment are also required. Proficiency with data analytics tools like Looker or Amplitude is a plus, as is experience with 0 to 1 product initiatives.