About the Role
We are seeking a highly analytical and innovative Data Scientist to join our Artificial Intelligence (AI) team and play a pivotal role in shaping data-driven product capabilities. This role is mission-critical in converting complex data into actionable insights, optimizing AI models, and enabling the development of intelligent systems that drive business growth and user engagement.
As a key contributor to our AI initiative, you will collaborate cross-functionally with AI Engineers, Product Owners, and Domain Experts to design, develop, and validate scalable AI solutions. You will bring rigor, structure, and creativity to solving high-impact problems using data science methodologies.
Key Responsibilities
Data Exploration & Modelling
• Extract, clean, and preprocess large-scale datasets from structured and unstructured sources
• Build, validate, and tune predictive and descriptive models using state-of-the-art algorithms
• Leverage statistical analysis, machine learning, and deep learning to solve real-world problems
Collaboration & Strategy
• Partner with engineering teams to integrate models into production environments
• Work with product and business stakeholders to define data-driven KPIs and success metrics • Translate complex technical findings into business-friendly insights and visualizations.
AI Lifecycle Contribution
• Contribute to all phases of the AI lifecycle: problem framing, data wrangling, modelling, evaluation, and deployment
• Maintain and improve data pipelines and ML workflows in collaboration with MLOps and engineering teams
Continuous Innovation
• Stay abreast of the latest research and trends in AI/ML/Data Science
• Rapidly prototype experimental approaches and evaluate performance against benchmarks
• Promote best practices in data science and mentor junior data practitioners where applicable
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• 3+ years of experience in data science or analytics roles, ideally within an AI-focused team
• Proficiency in Python, or similar languages for statistical analysis and model building • Hands-on experience with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
• Strong SQL skills and familiarity with big data platforms (e.g., Spark, Hadoop)
• Experience with data visualization tools such as Power BI, Tableau, or Plotly
• Solid understanding of statistical modeling, A/B testing, and predictive analytics
• Ability to simplify complex technical concepts for non-technical stakeholders Preferred Skills (Nice to Have)
• Experience deploying ML models to production in cloud environments (AWS, Azure, GCP)
• Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, DVC)
• Exposure to NLP, or reinforcement learning is a plus
- • Knowledge of data governance, privacy, and ethical AI practices
Email resume to: [email protected]
