About ADA
ADA is a leading data and artificial intelligence (AI) company that designs and executes integrated digital, analytics, and marketing solutions. We operate in 12 markets in Asia and partner with leading brands to drive their data and digital maturity.
Role Overview
We are looking for a Data Scientist with strong expertise in Machine Learning and Artificial Intelligence to design, develop, and deploy scalable data-driven solutions. The ideal candidate should have hands-on experience in building predictive models, analyzing large datasets, and applying AI/ML techniques to solve complex business problems.
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Key Responsibilities
- Develop and implement machine learning models and AI solutions for business problems.
- Perform data cleaning, feature engineering, and exploratory data analysis (EDA) on large structured and unstructured datasets.
- Build predictive models using techniques such as regression, classification, clustering, NLP, and deep learning.
- Deploy models into production using MLOps best practices.
- Collaborate with data engineers, product managers, and business stakeholders to translate requirements into technical solutions.
- Monitor model performance and continuously optimize and retrain models.
- Work with cloud platforms and big data tools for scalable data processing.
- Present insights and recommendations using data visualization and storytelling techniques.
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Required Skills
Programming
Machine Learning
- Supervised & Unsupervised Learning
- Feature Engineering
- Model Evaluation Techniques
- Model Optimization
AI & Advanced Techniques
- NLP
- Deep Learning (TensorFlow / PyTorch)
- Generative AI (LLMs, Prompt Engineering – preferred)
Data Tools
- Pandas, NumPy, Scikit-learn
- Spark / PySpark (preferred)
Visualization
- Power BI / Tableau / Matplotlib / Seaborn
Cloud Platforms
- AWS / Azure / GCP (any one preferred)
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Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field
- 2–5 years of hands-on experience in Machine Learning and AI projects
- Experience working with large datasets and real-world business problems
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Preferred Qualifications
- Experience with MLOps and model deployment
- Knowledge of Docker, Kubernetes
- Experience with LLMs, Generative AI, or AI agents
- Strong understanding of statistics and probability
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Soft Skills
- Strong problem-solving skills
- Excellent communication and stakeholder management
- Ability to work in a fast-paced Agile environment
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Unfortunately, we are only able to contact shortlisted applicants. We encourage you to continuously visit our website www.adaglobal.com for regular updates on available roles
We transform businesses using data, AI and tech | ADA
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