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data science consultant
Stellar Technologies
Dubai, UAE
Full Time
Mid
3 weeks ago
PythonSQLMachine LearningData AnalysisData VisualizationPower BI
Free
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About the Role
Stellar Technologies is seeking a Data Science Consultant to lead data-driven projects, build analytical solutions, and translate findings for clients. Requires a PhD or Master's in a quantitative field and 3+ years of experience in strategy consulting or analytics.
Key Skills for This Role
PythonSQLMachine LearningData AnalysisData VisualizationPower BI
Responsibilities
- Lead the delivery of a broad range of projects and services across Value Creation Insights and other engagements that carry significant business and/or technical complexity.
- Act as the translator between business and technical requirements — shaping project scope, defining customization needs, and packaging outcomes so they land clearly with business executives.
- Support the Executive Team and Sales in building proposals that require a tailored approach, and align resourcing with the delivery team accordingly.
- Build custom analytical approaches for insights that fall outside Stellar’s standard data pipelines — this means hands on coding in Python/SQL, and continuously checking and improving model, classification, and clustering performance while correcting for content bias.
- Own quality control across both standard data pipelines (from data lineage and sourcing through to insight generation) and custom built approaches — reviewing outputs from both a business and a technical lens, and iterating until the outcome is right.
- Translate findings into clear, executive ready PowerPoint presentations and Power BI dashboards.
- Represent Stellar in client read outs, presenting results directly to client stakeholders.
- Manage handovers to clients and stay accountable for their ongoing success with the solution delivered.
- Support the Value Creation Insights Product Lead on broader solution development work alongside day to day client delivery.
- Follow Stellar’s information security policies, procedures, and standards within the scope of the role, and support our ISO certification and ISMS commitments.
- Proactively identify and push for improvements, building the case for their inclusion in the product/solutions roadmap.
Requirements
- PhD or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Econometrics, or Engineering, with at least one year of business curriculum and one year of data/analytics/statistics curriculum.
- 3+ years of professional experience, ideally in strategy consulting, spanning a broad range of projects — with at least one year specifically in Growth, Strategy, and Marketing.
- Strong command of quantitative methods for data analysis.
- Demonstrated track record building robust analytics solutions, not just prototypes.
- Ability to quickly get to grips with complex business topics, structure problems clearly, form and test hypotheses, and carry a solution through to execution.
- Strong communication skills — structured, empathetic, and emotionally intelligent, especially in client facing settings.
- Working knowledge of supervised and unsupervised learning model evaluation, data transformation, data visualization, core Python data science packages (pandas, numpy, scipy, scikit learn, etc.), NLP packages such as spaCy, and Transformer/LLM based NLP pipelines.
- Working knowledge of software engineering fundamentals: Python, SQL and databases, Git, API/web service development (e.g., FastAPI).
- Working familiarity with MLOps, SSH, Linux terminal, Bash, UI development (app or web based), system architecture, and agile methodologies.
- Fluency in English, written and spoken.
- A respectful team player with high ethical standards.
Full Job Posting
Job Overview
- The Data Science Consultant sits within Stellar’s Solutions practice.
- The team’s mandate is simple: turn data into decisions.
- We deliver customized, high value insights through data analysis and modeling, acting as the bridge between what a client’s business needs and what the technology can actually do.
Responsibilities And Duties
- Lead the delivery of a broad range of projects and services across Value Creation Insights and other engagements that carry significant business and/or technical complexity.
- Act as the translator between business and technical requirements — shaping project scope, defining customization needs, and packaging outcomes so they land clearly with business executives.
- Support the Executive Team and Sales in building proposals that require a tailored approach, and align resourcing with the delivery team accordingly.
- Build custom analytical approaches for insights that fall outside Stellar’s standard data pipelines — this means hands on coding in Python/SQL, and continuously checking and improving model, classification, and clustering performance while correcting for content bias.
- Own quality control across both standard data pipelines (from data lineage and sourcing through to insight generation) and custom built approaches — reviewing outputs from both a business and a technical lens, and iterating until the outcome is right.
- Translate findings into clear, executive ready PowerPoint presentations and Power BI dashboards.
- Represent Stellar in client read outs, presenting results directly to client stakeholders.
- Manage handovers to clients and stay accountable for their ongoing success with the solution delivered.
- Support the Value Creation Insights Product Lead on broader solution development work alongside day to day client delivery.
- Follow Stellar’s information security policies, procedures, and standards within the scope of the role, and support our ISO certification and ISMS commitments.
- Proactively identify and push for improvements, building the case for their inclusion in the product/solutions roadmap.
Education, Required Skills And Experience
- PhD or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Econometrics, or Engineering, with at least one year of business curriculum and one year of data/analytics/statistics curriculum.
- 3+ years of professional experience, ideally in strategy consulting, spanning a broad range of projects — with at least one year specifically in Growth, Strategy, and Marketing.
- Strong command of quantitative methods for data analysis.
- Demonstrated track record building robust analytics solutions, not just prototypes.
- Ability to quickly get to grips with complex business topics, structure problems clearly, form and test hypotheses, and carry a solution through to execution.
- Strong communication skills — structured, empathetic, and emotionally intelligent, especially in client facing settings.
- Working knowledge of supervised and unsupervised learning model evaluation, data transformation, data visualization, core Python data science packages (pandas, numpy, scipy, scikit learn, etc.), NLP packages such as spaCy, and Transformer/LLM based NLP pipelines.
- Working knowledge of software engineering fundamentals: Python, SQL and databases, Git, API/web service development (e.g., FastAPI).
- Working familiarity with MLOps, SSH, Linux terminal, Bash, UI development (app or web based), system architecture, and agile methodologies.
- Fluency in English, written and spoken.
- A respectful team player with high ethical standards.
Preferred Skills And Experience (Upside)
- Due diligence experience in a deal/transaction context.
- Multilingual.
- A track record of high achievement — sports, arts, games, academics, competitions, awards — any domain.
- Knowledge of Microsoft Azure DevOps Services.
- Experience with deep learning libraries such as TensorFlow or PyTorch.
- Hands on experience with cloud based NLP/LLM platforms — OpenAI’s GPT/ChatGPT, Meta’s Llama, IBM Watson NLP, Amazon Comprehend, Azure NLP, Google NLP, BERT, Gemini, or similar.
- Knowledge of containers and orchestration (Docker, Docker Compose, Kubernetes).
Job Details
- Role Level: Not Applicable
- Work Type: Full Time
- Country: United Arab Emirates
- City: Dubai
- Company Website: https://stellartechnologies.ae/
- Job Function: Data Science & AI
- Company Industry/Sector: Other
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