Data Scientist

TL;DR

Data Scientist (R/Python/SQL): Researching and analyzing player behavior to turn business questions into actionable insights with an accent on exploratory/explanatory data analysis, causal inference, machine learning, and clear data communication. Focus on building answers from large, complex datasets while handling ambiguous requirements and working independently on complex projects.

Location: London, United Kingdom

Company

hirify.global builds top-grossing social casino titles and supports data-driven business decisions.

What you will do

• Discuss analysis requirements with stakeholders and translate them into clear analytical questions
• Run exploratory data analysis and shape it into problems that can be answered with statistical, causal, or machine learning techniques
• Apply techniques such as frequentist/Bayesian statistics, causal inference, econometrics, and Monte Carlo modeling to address business and scientific questions
• Communicate results clearly and effectively, including explaining complex ideas in a simple way
• Work independently on complex projects and handle unclear or ambiguous requirements
• Use diverse data science tools and approaches and continuously learn new methodologies

Requirements

• Degree or equivalent work experience in a data-driven field
• Experience with data visualization techniques for communicating analysis
• Experience using statistics/mathematics, machine learning, econometrics, causal techniques, and/or Monte Carlo modeling
• R/Python experience
• Knowledge and experience of SQL
• Work authorization: candidates must be authorized to work in the job posting location without current or future visa sponsorship
• On-site requirement: work a minimum of 3 days a week in the central London office

Culture & Benefits

• People First principle with opportunities to elevate careers and grow alongside the team
• Experienced team of 20 with support for learning and development
• Autonomy to make a significant impact on game success using large, complex datasets
• Travel expectations: none

Hiring process

• Interviews focused on stakeholder problem framing, analytical approach, and communication of results
• Assessment of technical fit across data science methods and tooling (R/Python/SQL)