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обновлено 1 месяц назад

Senior Forward-Deployed Data Scientist (AI Deployment)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada

Описание вакансии

Текст:
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TL;DR

Senior Forward-Deployed Data Scientist (AI Deployment): Collaborate with customers and internal teams to implement and optimize AI-driven data science solutions, focusing on reinforcement learning and scalable ML pipelines. Focus on designing reusable data pipelines, refining RL algorithms, and driving customer success through technical expertise and product strategy insights.

Location: Hybrid in Vancouver with global remote opportunities

Company

Leading customer engagement platform empowering brands to engage customers in real time across channels with AI-powered experimentation and optimization.

What you will do

  • Collaborate with customer Analytics/BI teams and hirify.global colleagues on data integration, pipeline setup, and ML model configuration
  • Develop reusable data pipelines, APIs, and components to extend product capabilities
  • Work closely with reinforcement learning pipeline team to advance self-learning algorithms
  • Contribute to product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical support to ensure successful adoption and measurable outcomes

Requirements

  • Location: Hybrid role based in Vancouver with global remote options
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering or related field; Master’s or PhD preferred
  • 3–5+ years experience as Data Scientist or ML Engineer with large-scale data and production environments
  • Proficiency in Python, ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost), and SQL
  • Strong engineering practices including modular code, CI/CD, testing, and code reviews
  • Experience in customer-facing roles and ability to communicate complex technical ideas clearly

Nice to have

  • Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP)
  • Data integration/ETL and pipeline optimization skills
  • Reinforcement learning algorithm experience

Culture & Benefits

  • Competitive compensation including equity and comprehensive benefits
  • Flexible paid time off and family services including fertility benefits and parental leave
  • Professional development with career pathing and learning stipends
  • Supportive, collaborative, and inclusive culture recognized as a Great Place to Work®
  • Global presence with hybrid work options and community engagement opportunities