Data Scientist

TL;DR

Data Scientist (ML/Analytics): Leverage data science, machine learning, and advanced analytics to solve business problems and deliver actionable insights for commercial strategy, with an accent on operationalizing models and improving decision-making through robust analytics. Focus on building and deploying data science models, collaborating with BI and Enterprise Data & Insights teams, and measuring model impact on business outcomes.

Location: Las Vegas, NV, US

Salary: $70,000 - $130,000 per year

Company

hirify.global is a technology-powered entertainment and gaming company building world-leading mobile and casino games.

What you will do

• Use data science, machine learning, and advanced analytics to solve business problems and produce actionable insights.
• Plan and complete complex projects using statistical applications, big data analyses, and machine learning.
• Develop analytic solutions, models, and automation processes to support commercial strategy.
• Build and support data models, algorithms, and statistical analyses; evaluate and implement data engineering technologies.
• Collaborate with BI to improve reporting and visualizations and partner with Enterprise Data & Insights to deploy models.
• Present recommendations and measure/report the impact of deployed models on business outcomes.

Requirements

• BSc in mathematics, statistics, computer science, or equivalent experience.
• Strong SQL skills and proficiency with Python and/or R (also Java and/or CSS).
• Experience operationalizing ML models and working with basic MLOps/CI-CD workflows.
• Proficiency with Tableau, Power BI, Looker, or similar visualization tools.
• Understanding of data management practices and the data lifecycle.
• Work authorization: must be authorized to work in the job posting location on a full-time basis without visa sponsorship.

Culture & Benefits

• Comprehensive benefits package including health, dental, and vision insurance.
• Paid time off and a 401(k) plan with employer matching.
• Flexible work environments and a workplace focused on employee wellbeing.
• Equal opportunity employer with a diversity and inclusion-first culture.

Hiring process

• Interviews to assess data science/analytics experience and communication skills.
• Evaluation of ability to present recommendations and explain results to different audiences.