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Data Scientist
Data Scientist
The Data Scientist will lead Data Science/AI and Data Architecture/Engineering projects, providing SME support for Digital Transformation and Smart City initiatives. This role involves building complex predictive models, supporting presales and product development, and ensuring data quality and master data management.
About the role
About the Role
ZainTECH is seeking a talented Data Scientist to lead projects in the Data Science/AI and Data Architecture/Engineering domains. This role involves providing Subject Matter Expert (SME) support for Digital Transformation and Smart City/Smart District consulting projects, as well as contributing to presales and product development efforts. The Data Scientist will also offer data architecture and engineering support for data management initiatives focused on data quality and master data management.
Responsibilities
Strategic
- Understand and interpret business challenges related to Data Science and AI solutions.
- Partner effectively with cross-functional teams to translate business needs into analytical requirements.
- Help clients make informed business decisions by converting data into actionable insights.
Operational
- Communicate analysis results clearly and effectively to leadership teams and stakeholders to influence implementation strategies.
- Stay technically adept with the latest trends, platforms, and challenges in ML/AI.
- Proactively identify and raise project risks to ensure projects remain on track.
- Build complex predictive models using ML and DL techniques, producing production-quality code, and collaboratively manage complex data science workflows with the Data Engineering team.
- Apply a business mindset to problem-solving, combined with a passion for technology.
- Work closely on structuring solutions and proposals for opportunities in the pipeline.
People Management
- Coordinate with different functional teams to implement models and monitor outcomes.
- Support the presales and product development teams with relevant content and artifacts.
Qualifications
- 7+ years of experience in implementing analytic solutions.
- 5+ years of experience in a business-focused Data Scientist role.
- Firm understanding of data modelling and metadata schema development.
- Familiarity with ETL / BI concepts and processes, and third-party data inventory tools (e.g., CKAN).
- Passion for evangelizing the vision of data managed as an asset, improving links between siloed databases, and making information easily accessible for analysis.
- Ability to design iterative and efficient processes for managing and opening data assets across an enterprise.
- Ability to lead working meetings with client teams and drive clients on tasks.
- Proven experience working in the Telecom industry (both Network and Business).
- Ability to build architecture and develop workflows for large-scale batch and streaming machine-learning systems, and ability to deploy using Docker/Kubernetes and/or create RESTful API interfaces.
- Hands-on exposure to the following areas:
- Machine Learning (algorithms and math behind them, feature engineering, etc.).
- Programming (Python, R, Matlab, etc.).
- Operations Research (decision support systems, optimization techniques, etc.).
- Data Modeling (SQL / NoSQL skills, ETL creation, database design, etc.).
- Deep learning techniques and working with open-source libraries like OpenCV and NLP libraries like spaCy, HuggingFace etc.