Data Scientist (Remote)

Global Sports Jobs Limited; United States; Remote; USD 90,000 - 140,000; Full time

Benefits offered by this job

Annual bonus (variable pay)

Medical, dental and vision benefits

401(k) plan with company match

Paid vacation and sick leave

Tuition reimbursement

Job summary

Global Sports Jobs Limited is seeking a data scientist to leverage sportswriting insights, in-game experience and subscriber usage to enhance product recommendations. You’ll collaborate with data, product, growth and engineering teams to build advanced ML models and production-ready pipelines.

The role focuses on understanding user behavior, driving predictive insights and improving workflows with data-driven decisions.

Qualifications

• 2–4 years of experience as a data scientist or data analyst with a proven ability to apply scientific methods to real-world problems on web-scale data.
• Strong working knowledge of Python to train ML models and deploy to production.
• Solid understanding of SQL with ability to pull/write to data warehouses.
• Understanding of subscription media and recommendation engines, and turning insights into optimisations.
• Knowledge of statistical principles and how they apply to predictive modelling.
• Strong verbal and written communication, with ability to build cross-functional relationships.
• Ability to explain complex concepts to diverse audiences and tell compelling data-driven stories.

Responsibilities

• Design, build and implement mathematical models to drive long-term product goals (e.g., predicting which free users subscribe).
• Lead projects with hands-on analysis and modelling using appropriate analytical methods.
• Use quantitative analysis to understand user feedback and derive recommendations.
• Design and develop data science pipelines in production.
• Guide complex experiments and drive data-informed decisions.
• Foster an outstanding data science culture and environment.

Skills

Python

SQL

Machine learning

Data analysis

Statistical modelling

Communication

Storytelling with data

Job description

About the Role

The role is for a data scientist who will bring a deep understanding of sportswriting, in-game experience and subscriber usage to help improve a best-in-class product. The postholder will work closely with data, product, growth and engineering teams to develop advanced machine learning models that help understand the business, optimise and automate workflows, and improve product recommendations. As a member of the data science team, the postholder will have a significant impact.

Key Responsibilities

• Design, build and implement mathematical models to drive key long-term product goals, such as predicting which free users are most likely to subscribe or recommending the right articles to the right users at the right time.
• Lead projects with hands-on analysis and modelling, drawing from multiple analytical methods to choose the right tool and level of complexity appropriate for the job.
• Use quantitative analysis to deeply understand what users are saying and develop recommendations based on that analysis.
• Design and develop data science pipelines in production.
• Guide complex experiments.
• Cultivate an outstanding data science environment.

Required Experience & Qualifications

• 2-4 years of experience as a data scientist or data analyst with a proven ability to apply scientific methods to solve real-world problems on web scale data.
• Strong working knowledge of Python and how to use it to train machine learning models and put them into production.
• Solid understanding of SQL with an ability to efficiently pull and write to data warehouses.
• Understanding of subscription media and recommendation engines, with the ability to turn it into insights and optimisations.
• Knowledge of statistical principles and how they apply to predictive modelling.
• Strong verbal and written communication skills with ability to build cross-functional relationships.
• Ability to explain sophisticated concepts to diverse audiences and craft compelling stories with data.

Workplace

• 100% remote for candidates currently based in the United States or Canada.

Benefits & Perks

• For U.S. roles, dependent on role, you may be eligible for variable pay, such as an annual bonus and restricted stock.
• Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
• For roles outside the U.S., information on benefits will be provided during the interview process.