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HomeCompaniesAircallData Scientist/Senior Data Scientist

Data Scientist/Senior Data Scientist

Aircall · San Francisco Office · Hybrid · Active · Lever

Job facts

FieldValue
CompanyAircall
TitleData Scientist/Senior Data Scientist
Normalized title-
Department / teamEngineering / 13008 - Data
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typePermanent Full Time Employee
Salary-
Statusactive
ATS providerLever
Posted / first seen2024-07-19 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Aircall.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAircall
Sourcecd97256c-e717-490f-9105-3462435f895e
ATS providerLever

Description

Aircall is the world’s leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the team Our Data team is the backbone of Aircall’s decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights About the role As 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 pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation. Aircall is constantly moving forward. We’re building new roads to complete our journey, and we’re taking people with us who have the same builder mentality. Let’s grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We’re creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we’re on. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💵 Competitive salary package & benefits 🏨 Medical, dental, and vision insurance is 100% covered 📈 401k plan with company matching! ✈️ Unlimited PTO — take the time you need to come to work feeling great! ⭐️ Wellness, internet, and childcare reimbursements 💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We 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. We 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. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. Your mission @ Aircall: Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention Provide actionable insights and compelling narratives to influence major decisions at the C-level Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality A little more about you: 2+ years of hands-on technical experience in a high growth environment Proficiency in SQL for deriving insights Proficiency in Python Data-driven, structured and solution oriented with extensive experience in building rigorous experiments Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels You have an insatiable curiosity and are biased toward action

Full job record

Job ID54f40f613100f0383576ddbbe0e6f3023b419a42
Org ID341b2526-3b04-49fd-ab9c-40784ab51139
Source IDcd97256c-e717-490f-9105-3462435f895e
Board IDcd97256c-e717-490f-9105-3462435f895e
Providerlever
Provider Job Key38507587-36b3-41df-8519-0b44b869e1be
TitleData Scientist/Senior Data Scientist
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco Office
DepartmentEngineering
Team13008 - Data
Employment TypePermanent Full Time Employee
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/aircall/38507587-36b3-41df-8519-0b44b869e1be
Apply URLhttps://jobs.lever.co/aircall/38507587-36b3-41df-8519-0b44b869e1be/apply
First Seen At2026-05-29 07:01:00Z
Last Seen At2026-06-06 07:56:57Z
Last Checked At2026-06-06 07:56:57Z
Last Changed At2026-05-29 07:01:00Z
Inactive At
Source Posted At2024-07-19 18:09:17Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=aircall/date=2026-06-06/2026-06-06T07-56-57-431Z-6722d4862c9df8a7d3a86f38f4ae6755ebd7ba1f02cc77406c6462cbc1e06253.json
Event Fields
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  "last_changed_at": "2026-05-29T07:01:00.387Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
    "raw": "San Francisco Office",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:56:57.850Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco Office",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
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    "countries": [
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  },
  "remote_policy": "hybrid",
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  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Your mission @ Aircall:",
      "content": "\n<li>Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention</li>\n<li>Provide actionable insights and compelling narratives to influence major decisions at the C-level</li>\n<li>Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact&nbsp;</li>\n<li>Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality</li>\n"
    },
    {
      "text": "A little more about you:",
      "content": "\n<li>2+ years of hands-on technical experience in a high growth environment</li>\n<li>Proficiency in SQL for deriving insights</li>\n<li>Proficiency in Python</li>\n<li>Data-driven, structured and solution oriented with extensive experience in building rigorous experiments</li>\n<li>Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels</li>\n<li>You have an insatiable curiosity and are biased toward action</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1721412557993,
  "updatedAt": null,
  "categories": {
    "team": "13008 - Data",
    "location": "San Francisco Office",
    "commitment": "Permanent Full Time Employee",
    "department": "Engineering",
    "allLocations": [
      "San Francisco Office",
      "New York Office",
      "Seattle Office"
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}
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