Principal, Data Scientist

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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, Num Py).

Experience with machine learning frameworks (Tensor Flow, 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…