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Senior Data Scientist

  • Job type Posted on: Jul 22, 2026
  • Experience level Remotive
  • Employment type New York, New York
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Data Scientist

Job Type :

Full-time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Role Description As we accelerate on our mission to upgrade the world to a better financial system, we will need to understand how customers are using our product and what drives customers to engage in our platforms. You’ll be focussed on this critical step of creating better information from multiple data sources to guide our decision making and help us build better products and improve our processes. Design and build pricing models and evaluation frameworks to guide and optimise pricing strategies Develop causal models using experiments and observational data to isolate and measure the impact of fee changes Initiate, design, and maintain high-quality data pipelines and models with strong attention to detail Synthesise findings into clear, actionable recommendations and communicate them effectively to senior leadership Qualifications Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics Exploratory data analysis, predictive analytics, and/or optimisation skills using Python or other data science-oriented platforms Advanced SQL skills 5 years + experience in pricing experimentation, data analysis and statistical modelling Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders Ability to work independently, as well as within and across teams Ability to successfully complete projects with large and/or incomplete data sets Enthusiasm to work in the crypto industry Requirements 5 years' + experience working in a similar role Proven track record of analysing customer behaviour and translating insights into revenue growth Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker Solid knowledge of statistical and machine learning techniques Experience with productionising ML applications using a formalised ML Operations architecture Experience or interest working in crypto or fintech industries Benefits Remote but reachable work policy gives you the freedom to choose between working from home or the office. Enjoy an Annual Inspiration Day in addition to your annual leave, which increases with your length of service, plus the option to buy or sell up to five days of leave. Improve body and mind, with excellent private medical insurance Access to Learnably and our additional learning platforms for your personal and professional development A collaborative, friendly work community, with regular social events and classes hosted by our Lunauts 6 months primary care-giver leave Paw-ternity leave for your furry friend Free lunch and snacks 0 fees up to a certain amount with Luno from the day you start.* *Offer only available on Luno Instant Buy, not Luno Exchange

Jobcon Logo Position Details

Posted:

Jul 22, 2026

Reference Number:

14660_79E44904D6D0BBEF3E5942FD1A3DDE10

Employment:

Full-time

Salary:

Not Available

City:

New York

Job Origin:

APPCAST_CPC

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Role Description As we accelerate on our mission to upgrade the world to a better financial system, we will need to understand how customers are using our product and what drives customers to engage in our platforms. You’ll be focussed on this critical step of creating better information from multiple data sources to guide our decision making and help us build better products and improve our processes. Design and build pricing models and evaluation frameworks to guide and optimise pricing strategies Develop causal models using experiments and observational data to isolate and measure the impact of fee changes Initiate, design, and maintain high-quality data pipelines and models with strong attention to detail Synthesise findings into clear, actionable recommendations and communicate them effectively to senior leadership Qualifications Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics Exploratory data analysis, predictive analytics, and/or optimisation skills using Python or other data science-oriented platforms Advanced SQL skills 5 years + experience in pricing experimentation, data analysis and statistical modelling Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders Ability to work independently, as well as within and across teams Ability to successfully complete projects with large and/or incomplete data sets Enthusiasm to work in the crypto industry Requirements 5 years' + experience working in a similar role Proven track record of analysing customer behaviour and translating insights into revenue growth Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker Solid knowledge of statistical and machine learning techniques Experience with productionising ML applications using a formalised ML Operations architecture Experience or interest working in crypto or fintech industries Benefits Remote but reachable work policy gives you the freedom to choose between working from home or the office. Enjoy an Annual Inspiration Day in addition to your annual leave, which increases with your length of service, plus the option to buy or sell up to five days of leave. Improve body and mind, with excellent private medical insurance Access to Learnably and our additional learning platforms for your personal and professional development A collaborative, friendly work community, with regular social events and classes hosted by our Lunauts 6 months primary care-giver leave Paw-ternity leave for your furry friend Free lunch and snacks 0 fees up to a certain amount with Luno from the day you start.* *Offer only available on Luno Instant Buy, not Luno Exchange

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