CrawlJobs Logo

Data Scientist

rackspace.com Logo

Rackspace

Location Icon

Location:
Egypt , Alexandria

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation. Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision, MCP servers and AI Agents. You will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, TensorFlow etc..

Job Responsibility:

  • Design, develop, and maintain AI Agents leveraging modern frameworks and LLM-based orchestration techniques
  • Build, deploy, and optimize MCP (Model Context Protocol) servers to extend agent capabilities and enable integration with external tools and APIs
  • Architect scalable, modular, and maintainable systems for multi-agent collaboration and tool interoperability
  • Implement secure and efficient communication channels between AI agents, MCP servers, and client applications
  • Continuously evaluate new frameworks, protocols, and libraries in the AI agent ecosystem (e.g., LangChain, AutoGen, crewAI, or custom MCP implementations)
  • Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
  • Work with structured and unstructured data sets
  • Apply supervised and unsupervised machine learning techniques
  • Use modern ML frameworks such as SKLearn, PyTorch or TensorFlow
  • Perform data labelling, categorization, and structuring
  • Break down and clearly define problems
  • Communicate highly technical results to a diverse audience

Requirements:

  • 5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
  • 5+ years of experience in networking, infrastructure, or database architectures
  • Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
  • Proven experience in designing and deploying MCP servers or similar protocol-based integrations
  • Strong software engineering background (Python, Node.js, or similar languages)
  • Experience with AI agent frameworks (e.g., LangChain, crewAI, AutoGen, Semantic Kernel, Haystack)
  • Solid understanding of LLM orchestration, context management, and retrieval-augmented generation (RAG)
  • Knowledge of API design, microservices, and communication protocols (WebSockets, gRPC, REST)
  • Familiarity with containerization and deployment (Docker, Kubernetes, or serverless)
  • Background in cloud platforms (AWS, Azure, GCP) and MLOps workflows
  • Understanding of security best practices for agent–server interactions (auth, sandboxing, data governance)
  • MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field

Nice to have:

  • Contributions to open-source MCP servers, AI agent frameworks, or LLM plugins
  • Knowledge of prompt engineering, fine-tuning, or reinforcement learning with human feedback (RLHF)
  • Experience with advanced data science tools
  • Experience applying computational algorithms and statistical methods to structured and unstructured data

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Bilingual Data Scientist

Our enterprise-level client is seeking a bilingual Data Scientist with python co...
Location
Location
United States , Centennial
Salary
Salary:
35.00 - 55.00 USD / Hour
bhsg.com Logo
Beacon Hill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in a Data Scientist role (or as a Data Analyst)
  • Must be fluent in Spanish
  • Experience using different data mining techniques such as clustering, regression analysis, decision trees and support vector machines
  • Python (pandas libraries) & SQL (has database experience)
Job Responsibility
Job Responsibility
  • Support customer call centers with real time call transcription, including sentiment graphs and call summarization
  • Fulltime
Read More
Arrow Right

Data Scientist

Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to s...
Location
Location
United States , Patuxent River
Salary
Salary:
Not provided
synecticsolutions.com Logo
Synectic Solutions Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must have a bachelor’s degree in a technical or scientific field from an accredited college or university
  • Must have a minimum of three (3) or more years of relevant work experience
  • Must have an active DoD Secret Clearance or higher
  • Must be a US Citizen
Job Responsibility
Job Responsibility
  • Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
  • Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
  • Visualize, interpret, and report data findings
  • Fulltime
Read More
Arrow Right

Data Scientist

At LeverX, we have had the privilege of delivering over 950 projects. With 20+ y...
Location
Location
Salary
Salary:
Not provided
leverx.com Logo
LeverX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience as a Data Scientist
  • Hands-on experience with data analysis (probability theory and statistics, table data analysis experience) and statistical libraries such as SciPy or statsmodels
  • Knowledge and hands-on experience with machine learning, including both supervised and unsupervised learning, classical models, neural networks, and popular frameworks (scikit-learn, LightGBM, XGBoost, Keras, PyTorch, and TensorFlow)
  • Proficiency in Python and the ability to create APIs for developed solutions using tools such as FastAPI, Flask, Django REST framework, TensorFlow Serving, PyTorch Serving, Docker, and others
  • Experience with reporting and visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Altair, Jupyter Notebooks, Streamlit, TensorBoard) as well as with machine learning services offered by at least one major cloud provider (AWS, Azure, or GCP)
  • Understanding of DataOps and MLOps
  • Experience working according to Agile practices
  • English B2+
Job Responsibility
Job Responsibility
  • Collaborate closely with a distributed team of Data Scientists, Engineers, and stakeholders across various time zones
  • Own the full lifecycle of AI/ML solutions, from initial research and prototyping to model deployment and monitoring in production
  • Engage with business stakeholders to gather requirements, clarify goals, and translate them into data-driven solutions
  • Leverage cloud ML services and containerized APIs to build scalable machine learning pipelines
  • Apply classical ML models and neural networks using cutting-edge frameworks for a wide range of predictive and analytical tasks
  • Utilize AI tools extensively in the SDLC process
What we offer
What we offer
  • Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
  • Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
  • Global clients based in Europe and the US, including Fortune 500 companies
  • Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
  • Healthy work atmosphere: On average, our employees stay in the company for 4+ years
  • Market-based compensation and regular performance reviews
  • Internal expert communities and courses
  • Perks to support your growth and well-being
Read More
Arrow Right

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...
Location
Location
United States , San Francisco; New York City; Austin
Salary
Salary:
185300.00 - 266300.00 USD / Year
airtable.com Logo
Airtable
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
  • 6+ years of experience as a data scientist, data analyst, or data engineer
  • Experience supporting product development teams and driving product growth insight
  • Background in SaaS, consumer tech, or data-driven product environments preferred
  • Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
  • Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
  • Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
  • Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
  • Strong statistical foundation
  • Experience at an AI-native company, with exposure to building or scaling products powered by AI
Job Responsibility
Job Responsibility
  • Own and maintain core product data pipelines across DBT, Looker, and Omni
  • Build and refine dashboards that deliver self-serve, real-time insights
  • Lead the development and delivery of company-wide strategic insights
  • Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
  • Establish trusted partnerships as the go-to resource for product data insights
  • Collaborate with leadership to define the analytics roadmap and prioritize initiatives
  • Mentor junior team members and cross-functional partners
  • Support end-to-end analytics for all product launches
  • Deliver comprehensive strategic analyses or experiments
  • Lead or participate in cross-functional projects
What we offer
What we offer
  • Benefits
  • Restricted stock units
  • Incentive compensation
  • Fulltime
Read More
Arrow Right

Data Scientist II

At Amazon, we strive to be Earth's most customer-centric company, where customer...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
Job Responsibility
Job Responsibility
  • Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
  • Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
  • Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
  • Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
  • Develop efficient data querying infrastructure for both offline and online use cases
  • Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
  • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
  • Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Read More
Arrow Right

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...
Location
Location
United States , Jersey City; New York
Salary
Salary:
142320.00 - 213480.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
  • AI/ML development experience in a Data Scientist role or similar
  • NLP development experience in a Data Scientist role or similar
  • Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
  • Experience in GenAI Model validation or AI/ML Model validation
  • Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
  • Strong organizational and project management skills
  • Risk and Controls mindset
Job Responsibility
Job Responsibility
  • Assist development teams with implementing new GenAI solutions from identification through validation phases
  • Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
  • Own and maintain GenAI solution book of work for eligible GenAI use-cases
  • Assist with preparations for internal discussions and initial submission for model validation
  • Own relationships with governance-related stakeholders
  • Monitor and maintain GenAI solution inventory data and lifecycle
  • Educate development teams on the model validation process
  • Own tracking and modeling tools
What we offer
What we offer
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages including vacation, sick leave, and paid holidays
  • discretionary and formulaic incentive and retention awards
  • Fulltime
Read More
Arrow Right

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...
Location
Location
United States , San Jose
Salary
Salary:
148000.00 - 340500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
  • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
  • 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
  • Able to communicate effectively in a variety of formats and collaborate with diverse teams
Job Responsibility
Job Responsibility
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal and professional development programs
  • Inclusive workplace policies
  • Fulltime
Read More
Arrow Right