Data Science Consultant
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Key skills for this role
About the Role
Stellar Technologies seeks a Data Science Consultant to lead delivery of data-driven insights, build analytical models, and communicate results to executives. Requires a PhD/Master's in a quantitative field, 3+ years experience, and strong Python/SQL skills.
Key Skills for This Role
Responsibilities
- Lead delivery of projects across Value Creation Insights and other engagements
- Act as translator between business and technical requirements
- Support Executive Team and Sales in building proposals
- Build custom analytical approaches with hands on coding in Python/SQL
- Own quality control across standard data pipelines and custom approaches
- Translate findings into executive ready PowerPoint presentations and Power BI dashboards
- Represent Stellar in client read outs and present results to stakeholders
- Manage handovers to clients and ensure ongoing success
- Support Value Creation Insights Product Lead on solution development
- Follow information security policies and support ISO certification
Requirements
- PhD or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Econometrics, or Engineering
- 3+ years of professional experience, ideally in strategy consulting
- Strong command of quantitative methods for data analysis
- Working knowledge of supervised and unsupervised learning, data transformation, data visualization, Python data science packages, NLP packages, and software engineering fundamentals
- Fluency in English
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.
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 (charts and dashboards); Core Python data science packages (pandas, numpy, scipy, scikit learn, etc.); NLP packages such as spaCy; 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 Category
- Data science consultant
Job Type
- Full Time
Job Location
- UAE
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