{"id":3608338,"url":"https://alion.io/job/vertex-technologies-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3882190,"name":"Vertex Technologies","domain":"vertextech-eg.com","url":"https://alion.io/company/vertextech-eg","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"Keras","optional":false},{"name":"Kubernetes","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"ResNet","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-02T12:39:45Z","employer_posted_date":null,"last_verified_at":"2026-11-02T12:39:45Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We seek a highly skilled and experienced Senior Data Scientist to join our team. In this role, you will lead advanced data science solutions' design, implementation, and optimisation. You will conduct complex experiments, uncover actionable insights, develop scalable machine-learning models, and drive strategic decisions based on data. As a Senior Data Scientist, you will mentor junior team members and collaborate across departments to elevate the organisation's data-driven capabilities.\n Main Goals and Responsibilities:Lead the development and deployment of robust data science and machine learning pipelines, from data retrieval and preprocessing to model training, inferencing, and results visualisation;\n\nTake ownership of the architecture and optimisation of DS/ML pipelines to ensure scalability and efficiency;\n\nLeverage ML models to build innovative solutions for tasks such as text generation, content automation, and more;\n\nCollaborate with cross-functional teams to integrate advanced data solutions that meet evolving business needs;\n\nGuide tools, strategies, and best practices to solve complex data science problems, including those involving LLMs and Generative AI;\n\nShare expertise with the team and across departments to elevate the overall technical capabilities of the organisation;\n\nProactively identify opportunities to improve data processes, model performance, and business impact.\n\nWhat We Offer:\nLong-term career stability with a competitive salary paid in USD.\n\nConditions for steady career development.\n\nDevelopment supported by dedicated mentors and a variety of programs focused on expertise and innovation.\n\nPrivate medical insurance provided after successful completion of the probationary period\n\nA well-equipped and cozy office supports comfort and productivity across all project stages.\n\nWelcoming atmosphere and a friendly corporate culture.\n\nRequirements\nRequired Skills and Experience:English level Upper Intermediate +\n\nStrong mathematical and statistical background, including tensor calculus\n\nExpertise in databases such as Postgres, MongoDB, and SQL\n\nProficiency in Python, with extensive experience in libraries such as Scikit-learn, Numpy, Pandas, and Matplotlib\n\nIn-depth knowledge and experience with gradient boosting algorithms (e.g., XGBoost, LightGBM)\n\nAdvanced experience with at least one neural network framework (TensorFlow/Keras, PyTorch), with a deep understanding of neural network architectures and optimisation techniques\n\nProven commercial experience with classic machine learning and deep learning, including NLP and computer vision (e.g., BERT, ResNet)\n\nExperience in applying LLMs and Generative AI technologies (e.g., GPT, transformer-based architectures) in real-world use cases\n\nExtensive experience in building end-to-end machine learning pipelines (data ingestion, preprocessing, model training, deployment, inference) and managing CI/CD workflows using GitHub/GitLab\n\nPractical experience with Docker or Kubernetes platforms for deployment and scalability\n\nCommercial experience with cloud platforms like AWS or Azure\n\n Nice to Have:Familiarity with big data tools such as Spark and 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