{"id":144599,"url":"https://alion.io/job/aircall-data-scientist-product-analytics","title":"Data Scientist, Product Analytics","company":{"id":52973,"name":"Aircall","domain":"aircall.io","url":"https://alion.io/company/aircall","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"dbt","optional":false},{"name":"Looker","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Voice Agents","optional":false},{"name":"WhatsApp","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-19T19:01:20Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-18T10:39:25Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.\nOur momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.\nAircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.\nAt Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.\nHow we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.\nAbout the role\nAs a Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including new feature launches, product adoption, pricing, and experimentation. You will collaborate cross-functionally primarily with Product, Software Engineering, and Data Engineering, as well as Marketing, Sales, Finance, and Account Managers to translate data needs into powerful solutions. You'll also establish best practices in self-serve analytics, contributing to our growing semantic layer, ensuring high standards in data governance and insight generation across the company.\nYour mission @ Aircall:\nPartner with product and business leaders to define the analytics roadmap and deliver key projects in product adoption, feature usage, cohort analysis, agent evaluations, and more\nIdentify key opportunities based off of product usage to inform the product roadmap and customer health \nContribute to and lead Aircall’s experimentation culture by ideating, creating, and evaluating experiments, both to improve product performance and adoption\nProvide actionable insights and compelling narratives to influence major decisions \nWork closely with data engineers to continuously improve the data stack, governance practices, and analysis quality\nA little more about you:\n3-5 years of hands-on technical experience in a high growth environment\nProficiency in SQL for deriving insights\nProficiency in Python\nExcellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels\nStrong visualization skills to build stories and insights from raw data in a clear and concise manner (we use Hex and Looker)\nExperience in building rigorous experiments (hypothesis testing, power/significance testing)\nFamiliarity with data pipeline/orchestration tools (e.g., dbt, Airflow) \nExperience collaborating with data engineering to build and maintain healthy pipelines, with experience with lakehouse table formats (e.g., Apache Iceberg) and distributed data processing (e.g., PySpark) as a plus\nYou have an insatiable curiosity and are biased toward action\nExcited to work from our new office in SOMA in San Francisco, 2 days per week\nBase salary range:\n$140,000—$180,000 USD\nWhy join us?\nKey moment to join Aircall in terms of growth and opportunities\nOur people matter, work-life balance is important at Aircall\nFast-learning environment, entrepreneurial and strong team spirit\n45+ Nationalities: cosmopolite & multi-cultural mindset\nCompetitive salary package & benefits\nDE&I Statement: \nAt Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. \nWe pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. \nWe will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.\nWant to know more about candidate privacy? Find our Candidate Privacy Notice here.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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