Data Scientist (Europe, Asia)

Open worldwide10am-3pm local time zone
Apply now ↗

Straight to the employer's own application — no middleman.

✓ Screened eligible

Why you can actually get this job

The posting explicitly states 'Global - Remote' with no country restrictions and defines core working hours as '10am-3pm in your local time zone', which accommodates UTC-5 (Jamaica). No work authorisation, language, or physical presence requirements are stated. The target user's 10am-3pm UTC-5 (15:00-20:00 UTC) overlaps fully with the stated flexibility window.

“Global - Remote” Geographic scope — No location restrictions stated — worldwide.
“Global - Remote” Geographic scope — Posting scope is explicitly worldwide with no geographic exclusions.
“Our core working hours are 10am-3pm in your local time zone with flexibility outside of this” Timezone — Timezone requirement is defined by the user's local time, not a fixed window. UTC-5 10am-3pm satisfies this requirement.
“Sporty is a remote first company in pursuit of sustainability” Work authorization — Remote-first positioning with no visa sponsorship or work authorisation language present.

About the role

About the role

As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment.

Our Stack

SQL

Python

AWS/Azure/GCP

What you'll be doing

Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.

  • Develop and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes.

What you'll bring

  • Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes
  • Advanced understanding of Python and the quantitative analysis ecosystem in Python
  • Strong foundation in probability theory, statistics, machine learning, and linear algebra
  • 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role
  • Knowledge of SQL and experience with relational databases
  • Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery
  • Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering
  • Project and stakeholder management experience is preferred
  • Even better if you have

Apache Spark

  • Experience working in cloud platforms (AWS, GCP, Microsoft Azure)
  • Relevant knowledge or experience in the gaming industry

Solid computer science background

  • What’s in it for you
  • Sporty is a remote first company in pursuit of sustainability
  • A competitive salary + individual performance based bonuses every quarter
  • 28 days paid annual leave
  • Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
  • Referral bonuses & flash bonuses
  • Top of the line equipment
  • Annual company retreats to provide great internal networking opportunities

Interview Process

  • Remote video screening with our Talent Acquisition Team

Online home assignment

  • Remote video interview with Team Members (3x45 Mins)
  • If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

Originally posted on Himalayas

Apply now ↗

Straight to the employer's own application — no middleman.

At a glance

  • EmploymentNot stated in posting
  • Hiring scopeglobal
  • Time zone10am-3pm local time zone
  • SalaryNot disclosed
  • Posted1mo ago

Keep this one

Sign in to save jobs and track what you've applied to.

Sign in

Did you get this job?

Tell us and we'll mark Sporty Group as a company that has actually hired in the Caribbean. It's the most useful thing on this board and it only exists because people report it.

I got hired here →

Something wrong with this listing?

← All eligible jobs