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Mid Senior Data Scientist at Envision Employment Solutions
Dubai, Dubai, United Arab Emirates -
Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, Machine Learning, Feature Engineering, Model Tuning, Time-Series Modeling, Model Interpretability, NLP, Transformer Models, Classification, Summarization, Entity Extraction, Prompt Engineering, Embedding-Based Search, Airflow, Docker, Cloud ML

Industry

Human Resources

Description
Envision Employment Solutions is currently looking for a Mid Senior Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting. Bachelor’s or Master’s degree in Data Science, AI, or Computer Science. 2 to 4 years of experience is required. Proven experience in end-to-end ML project delivery (data prep → modeling → deployment). Technical Requirements Advanced Python (modular code, OOP, APIs). Strong SQL (window functions, query optimization). Expert in supervised/unsupervised learning, feature engineering, and model tuning. Solid understanding of time-series modeling and model interpretability (SHAP, LIME). Experience with NLP pipelines (text cleaning, vectorization, embeddings). Knowledge of transformer models (BERT, GPT) and their fine-tuning using Hugging Face or OpenAI API. Able to build classification, summarization, or entity extraction solutions. Understanding of prompt engineering basics and embedding-based search. Familiarity with Airflow, Docker, FastAPI/Flask, or CI/CD pipelines for model deployment. Works with cloud ML environments (Azure ML, AWS Sagemaker, or Dataiku). Soft Skills Mentors junior data scientists. Communicates complex results in clear business language. Works independently and aligns projects to measurable business outcomes.
Responsibilities
The Mid Senior Data Scientist will be responsible for end-to-end machine learning project delivery, including data preparation, modeling, and deployment. The role involves mentoring junior data scientists and communicating complex results in clear business language.