Principal, Data Scientist
Job Description
Description
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About us:
Quickplay fosters a transparent, fair, and collaborative environment. We enthusiastically tackle complex challenges in OTT video, focusing on massive scale and resilience. If you seek a high-performing, learning-oriented, and supportive culture, Quickplay is the right place. Our data team is searching for a data science leader to spearhead data strategy and implement data science initiatives across our products. The ideal candidate will possess a blend of analytical, technical, and business acumen to transform data into actionable insights that drive organizational value.
About the Role:
Key Responsibilities
- Lead Data Science Team: Provide thought leadership and technical guidance on data science strategies and their application across products.
- Build Data Products: Partner with Product Management and Engineering teams to develop and launch innovative data products, such as recommendation systems and AI agents.
- Spearhead Data Science POCs: Lead proof of concept initiatives to demonstrate AI-driven customer use cases.
- Gen AI/ML Leadership: Lead the adoption of Gen AI and ML-based approaches across the product portfolio.
- Data Extraction & Analysis: Apply various techniques, including statistical analysis and complex data mining, to interpret results and deliver meaningful insights.
- Client Communication: Communicate data-driven insights and suggestions to clients and potential clients with diverse technical backgrounds.
- Research & Development: Collaborate with academic institutions on research in strategic business areas and contribute to the Data Science technical roadmap.
Work Model
- Hybrid: Work from home and office based on team needs
Key Qualifications:
Cultural Fit: Demonstrates mindset and behaviors such as:
- Focusing on Impact: Entrepreneurial, results-oriented, and proactive in addressing client challenges. You prioritize solving customer needs and driving business impact through effective solutions and positioning.
- Being Curious: Actively seeks to understand client priorities, industry trends, and how Quickplay’s solutions create value.
- Being Supportive: Fosters collaboration across teams, builds strong client relationships, and ensures internal followership.
- Speaking Up: Offers constructive feedback when improvements are needed, driving continuous progress and accountability.
Proven Leadership Excellence:
- Track record of leading data science teams and influencing strategic technical decisions.
- Strong experience analyzing complex data to identify business trends, problems, and opportunities.
- Ability to translate technical data insights into actionable business recommendations.
Technical Expertise and Background:
- Ten-plus years of professional experience, including five or more years in an applied data science-related role.
- Advanced degree (Masters or Postgraduate) in a quantitative field: Economics, Analytics, Mathematics, Computer Science, Statistics, or Machine Learning.
- Applied experience with machine learning on large datasets.
- Strong programming skills (Python, R, or similar).
- Experience with cloud computing (GCP and AWS).
- Proficiency with data manipulation and analysis tools (SQL, Pandas, NumPy).
- Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience in feature extraction, model selection, AI/ML training, and deployment.
- Expertise in multiple areas, including data products, behavioural analytics, advanced metrics, data architecture, and machine learning.
Communication & Collaboration:
- Exceptional oral and written communication skills to articulate complex topics to both technical and business partners.
- Ability to work cross-functionally and lead discussions in ambiguous environments, aligning teams toward common objectives.
Leadership & Self-Direction:
- Demonstrated leadership ability with the motivation to teach and learn.
- A self-starter with the ability to work autonomously while driving collaboration.
Success in this Role Requires:
- Technical Leadership: Successfully deliver on advanced technical projects or business challenges, applying cutting-edge industry knowledge.
- Strategic Vision: Develop functional strategies, clear objectives for the data science function, and policies and procedures to support these goals.
- Team Inspiration: Lead and motivate your team to deliver strategic data science solutions that guide Quickplay’s product decisions and drive business outcomes.
- Cross-Functional Collaboration: Establish strong partnerships with Engineering and Product teams to align data strategies with broader company goals.
- Growth and Development: Expand your team with diverse skills spanning machine learning, data engineering, tooling, analytics, and data products, ensuring forward-thinking expertise.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Entertainment
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Company
Quickplay
Location
Toronto
Country
Canada
Salary
200.000
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