TL;DR
Senior Data Scientist (Fullstack): Building and scaling end-to-end machine learning products for marketing, publishing, and product optimization in mobile gaming with an accent on ML pipeline architecture, statistical modeling, and CI/CD processes. Focus on designing innovative ML pipelines, applying Bayesian modeling, and delivering prescriptive analytics for a diverse game portfolio.
Location: Toronto, Canada
Salary: $115,700–$142,660 per year
Company
hirify.global is a global leader in interactive entertainment and mobile gaming, known for popular titles like FarmVille and Words With Friends, with teams across North America, Europe, and Asia.
What you will do
- Develop innovative tools using AWS, Databricks, PySpark, Airflow, and Tableau
- Apply statistical methodologies including Bayesian modeling to evaluate performance and uncertainties
- Implement and architect scalable machine learning pipelines for marketing and product functions
- Design and develop solutions in a CI/CD environment
- Provide mentorship and technical leadership within the team
Requirements
- Location: Must be based in Canada
- 4+ years of experience in data science, machine learning, or analytics
- Strong statistical background with experience in Bayesian modeling preferred
- Proficiency in Python, SQL, and AWS tools
- Experience with full-stack data science including software engineering principles
- BS in Computer Science, Math, Statistics, Economics or related field; advanced degree preferred
Culture & Benefits
- Comprehensive benefits including medical, dental, vision, and life insurance
- Paid holidays, vacation, sick days, parental and compassionate leave
- Wellbeing programs and family planning support
- 401(k) plan and Employee Stock Purchase Program eligibility
- Supportive and inclusive work environment with commitment to diversity and accommodation
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →