Data Scientist II - AI
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Key skills for this role
About the Role
talabat is hiring a Data Scientist II for the AI hub to drive data-driven decisions using machine learning and generative AI. The role involves owning the data value chain, designing ML systems, and collaborating with product teams.
Key Skills for This Role
Responsibilities
- Design and implement effective machine learning and generative AI systems in production
- Own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation
- Develop deep understanding of product experiences and business processes
- Design, plan, and analyze experiments (A/B and multivariate tests)
- Mentor other data scientists in their growth journeys
Requirements
- 3+ years of experience in data science, machine learning, and Gen AI
- Bachelor's degree in engineering, computer science, or similar field
- Experience with ML and GenAI frameworks (e.g., Scikit learn, TensorFlow, PyTorch, Hugging Face)
- Excellent SQL and reproducible data analysis using Python or R
- Strong understanding of experiment design and statistical techniques
Full Job Posting
Job Overview
- As a Sr. AI Scientist on the global AI hub, your mission will be to improve the quality of decisions across product and business via relevant, reliable, and actionable data.
- You will own a particular domain across product and business and work closely with product and business managers.
Responsibilities
- Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
- Solving complex business problems using the simplest, most appropriate algorithms.
- Designing and implementing effective and impactful machine learning and generative AI systems in production.
- Developing a deep understanding of the product experiences and business processes.
- Developing a deep familiarity with source data and its generating systems.
- Contributing to the design and maintenance of data models.
- Working closely with product and business teams to identify important questions.
- Delivering well formed, relevant, reliable, and actionable insights and recommendations.
- Designing, planning, and analyzing experiments (A/B and multivariate tests).
- Supporting product and business managers with KPI design and goal setting.
- Mentoring other data scientists in their growth journeys.
- Contributing to improving ways of working, tooling, and internal training programs.
Qualifications
- Bachelor's degree in engineering, computer science, technology, or similar fields.
- 3+ years of experience working in data science, machine learning, and Gen AI.
- Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
- Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine tuning).
- Excellent SQL.
- Competence with reproducible data analysis using Python or R.
- Familiarity with data modeling and dimensional design.
- Strong command over the entire data lifecycle.
- Familiarity with different types of analysis (descriptive, exploratory, inferential, causal, predictive).
- Deep understanding of experiment design and analysis workflows and statistical techniques.
- Familiarity with product data and product health measurement.
- Experience with LLMs and NLP based solutions is a plus.
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