Senior Data Scientist Product Analytics & Machine Learning
Join us to apply for the Senior Data Scientist Product Analytics & Machine Learning role at Algolia .
About Algolia
Algolia is a fast?growing company that empowers over 17,000 businesses to deliver blazing?fast, predictive search and browse experiences at internet scale. Every week we power over 30 billion search requests, four times more than the next largest search services combined. We create AI?powered search products that are explainable, data?driven, and built to help customers make confident decisions.
Overview
As a Senior Data Scientist, you will lead product analytics across the entire product lifecycle : gather and analyze user behavior data, run experiments, and turn insights into actionable product recommendations that shape strategy and feature prioritization. Your work will directly influence product decisions and help drive customer and business outcomes.
Responsibilities
- Generate actionable product insights : analyze and aggregate user behavior data to highlight trends, surface friction points, and uncover opportunities that improve engagement, retention, and conversion.
- Design, run, and evaluate experiments : own A / B test design, from hypothesis generation and power analysis to post?test read?outs, partnering with engineering and product teams.
- Define and monitor core product metrics : establish, track, and optimize KPIs such as engagement, retention, and conversion rates, and build automated dashboards visible to teams and leadership.
- Conduct deep?dive analyses of user cohorts and segments to tailor product strategies and recommend actions for high?value or at?risk groups.
- Ensure data quality and integrity : validate tracking implementation, debug data issues, and maintain documentation of code, queries, and analytical notebooks.
- Contribute to scalable analytics infrastructure : collaborate with Analytics Engineering to evolve datasets, schemas, and pipelines that support self?serve analysis.
- Document and share knowledge : maintain clear documentation of analytics methodologies, metrics, and insights, and craft compelling data stories with visualizations and narrative.
Role Requirements
Spend 12 days per week in a local coworking space to collaborate in person.3+ years of hands?on experience in product analytics or applied data science, preferably in consumer?facing digital products.Advanced SQL and Python skills, with best practices in software and data engineering; familiarity with DBT is a plus.Solid knowledge of statistics : hypothesis testing, confidence intervals, bootstrap, and experimentation methodologies.Understanding of statistical and machine learning models such as gradient?boosted trees, logistic regression, and neural networks.Experience with end?to?end model development and maintenance of ML models used for business?critical decisions.Strong grasp of key product metrics : engagement, retention, churn, lifetime value, and conversion rates.Ability to work cross?functionally with engineering, design, product, marketing, sales, and support teams.Familiarity with search engines and search technologies, and a detail?oriented focus on data quality.Values
GRIT Problem?solving and perseverance in a fast?changing environment.TRUST Willingness to trust coworkers and take ownership.CANDOR Openness to receiving and giving constructive feedback.CARE Genuine care for team members, clients, and company decisions.HUMILITY Willingness to learn from others and put ego aside.EEO Statement
Algolia is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Compensation
Remote US : Base salary range $200,000 $350,000 USD. Salary varies by location, experience, and expertise; it is one part of our total rewards philosophy.
Benefits & Workplace
Algolias flexible workplace model empowers employees to choose where they work. Many team members have autonomy to work fully remote or hybrid?remote, with occasional in?office collaboration. Offices are located in Paris, NYC, London, Sydney, and Bucharest.
Recruitment Fraud Notice
Apply directly through our careers page; avoid third?party postings.All legitimate communications come from @ email addresses.Algolia will never request payments, purchases, or financial details during hiring.Apply
If you share our values and enthusiasm for building the worlds best search and discovery technology, wed love to review your application! Send your resume to careers@.
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