senior data scientist

data analyst

data engineer

senior data engineer

data scientist

mid senior data scientist

Envision Employment Solutions

<div>
 
 
 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.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 2 to 4 years of experience is required.
 </li>
 <li>
 Proven experience in
 
 end-to-end ML project delivery
 
 (data prep &rarr; modeling &rarr; deployment).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Advanced
 
 Python
 
 (modular code, OOP, APIs).
 </li>
 <li>
 Strong
 
 SQL
 
 (window functions, query optimization).
 </li>
 <li>
 Expert in
 
 supervised/unsupervised learning
 
 ,
 
 feature engineering
 
 , and
 
 model tuning
 
 .
 </li>
 <li>
 Solid understanding of
 
 time-series modeling
 
 and
 
 model interpretability (SHAP, LIME)
 
 .
 </li>
 <li>
 Experience with
 
 NLP pipelines
 
 (text cleaning, vectorization, embeddings).
 </li>
 <li>
 Knowledge of
 
 transformer models
 
 (BERT, GPT) and their fine-tuning using Hugging Face or OpenAI API.
 </li>
 <li>
 Able to build
 
 classification, summarization, or entity extraction
 
 solutions.
 </li>
 <li>
 Understanding of
 
 prompt engineering basics
 
 and
 
 embedding-based search
 
 .
 </li>
 <li>
 Familiarity with
 
 Airflow, Docker, FastAPI/Flask
 
 , or
 
 CI/CD pipelines
 
 for model deployment.
 </li>
 <li>
 Works with cloud ML environments (
 
 Azure ML, AWS Sagemaker, or Dataiku
 
 ).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Mentors junior data scientists.
 </li>
 <li>
 Communicates complex results in clear business language.
 </li>
 <li>
 Works independently and aligns projects to measurable business outcomes.
 </li>
 </ul>
</div>

Mid Senior Data Scientist

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.
 
Requirements: 
<ul>
<li>Bachelor’s or Master’s degree in Data Science, AI, or Computer Science.</li>
<li>2 to 4 years of experience is required.</li>
<li>Proven experience in end-to-end ML project delivery (data prep → modeling → deployment).</li>
<li>Technical Requirements</li>
<li>Advanced Python (modular code, OOP, APIs).</li>
<li>Strong SQL (window functions, query optimization).</li>
<li>Expert in supervised/unsupervised learning, feature engineering, and model tuning.</li>
<li>Solid understanding of time-series modeling and model interpretability (SHAP, LIME).</li>
<li>Experience with NLP pipelines (text cleaning, vectorization, embeddings).</li>
<li>Knowledge of transformer models (BERT, GPT) and their fine-tuning using Hugging Face or OpenAI API.</li>
<li>Able to build classification, summarization, or entity extraction solutions.</li>
<li>Understanding of prompt engineering basics and embedding-based search.</li>
<li>Familiarity with Airflow, Docker, FastAPI/Flask, or CI/CD pipelines for model deployment.</li>
<li>Works with cloud ML environments (Azure ML, AWS Sagemaker, or Dataiku).</li>
<li>Soft Skills</li>
<li>Mentors junior data scientists.</li>
<li>Communicates complex results in clear business language.</li>
<li>Works independently and aligns projects to measurable business outcomes.</li>
</ul>

Envision Employment Solutions is currently looking for a Senior Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Qualifications</li>
<li>Bachelor’s or Master’s degree in Data Science, AI, or Computer Science.</li>
<li>4 to 6 years of experience is required,</li>
<li>Strong record of production-grade ML/NLP projects.</li>
<li>Experience leading small data science teams or research initiatives.</li>
<li>Technical Requirements</li>
<li>Deep expertise in model architecture design, feature stores, and model monitoring.</li>
<li>Experience in ensemble blending, A/B testing, and model explainability (SHAP, LIME).</li>
<li>Builds and fine-tunes transformer-based models for custom tasks (summarization, Q&A, document intelligence).</li>
<li>Implements RAG (Retrieval-Augmented Generation) and embedding-based semantic search.</li>
<li>Integrates vector databases (Pinecone, FAISS, Chroma).</li>
<li>Uses LangChain or LlamaIndex for orchestration.</li>
<li>Evaluates and optimizes prompt templates and context length efficiency.</li>
<li>Designs data pipelines (Airflow, Spark, Dataiku).</li>
<li>Deploys scalable APIs, manages CI/CD, monitoring, and drift detection.</li>
<li>Works closely with product and engineering teams to embed AI in production systems.</li>
<li>Leadership & Soft Skills</li>
<li>Leads small teams or workstreams.</li>
<li>Ensures project quality, deadlines, and alignment with business KPIs.</li>
<li>Coaches mid-level team members and contributes to talent development.</li>
</ul>

Senior Data Scientist

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

RSA Security

<div>
 
 
 RSA - Senior Data Scientist
 
 
 
 
 RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.
 
 
 For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team! For more information, go to rsa.com.
 
 
 We are seeking a strategic and technically adept Senior Data Scientist with 5+ years of experience to lead data-driven initiatives across the organization. This role demands a deep understanding of advanced analytics, machine learning, and data architecture, with the ability to mentor junior team members and influence business strategy through data insights.
 
 
 
 You Will Be Responsible For
 
 
 
 <ul>
 <li>
 Leading the design and deployment of scalable data science solutions.
 </li>
 <li>
 Driving innovation in predictive modeling and machine learning.
 </li>
 <li>
 Collaborating cross-functionally to align data initiatives with business goals.
 </li>
 <li>
 Mentoring and guiding junior data scientists and engineers.
 
 
 </li>
 </ul>
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 Architect and implement advanced machine learning models and predictive analytics pipelines.
 </li>
 <li>
 Lead end-to-end data science projects: from business problem framing to deployment and monitoring.
 </li>
 <li>
 Evaluate and integrate new data sources and technologies to enhance model performance.
 </li>
 <li>
 Translate complex data insights into actionable business strategies.
 </li>
 <li>
 Oversee data quality, governance, and compliance across projects.
 </li>
 <li>
 Mentor junior team members and foster a culture of continuous learning and experimentation.
 </li>
 <li>
 Present findings to stakeholders through compelling storytelling and visualization.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 5+ years of experience in data science, machine learning, or AI.
 </li>
 <li>
 Proficiency in Python or R, and strong SQL skills.
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop).
 </li>
 <li>
 Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Strong background in data modeling, data warehousing (Snowflake, Redshift, BigQuery), and pipeline architecture.
 </li>
 <li>
 Excellent communication skills with the ability to influence non-technical stakeholders.
 </li>
 <li>
 Proven track record of leading successful data science projects and mentoring teams.
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Experience with real-time data processing and streaming analytics.
 </li>
 <li>
 Familiarity with MLOps and model deployment best practices.
 </li>
 <li>
 Publications or contributions to open-source data science projects.
 </li>
 <li>
 Certifications in cloud or data science technologies.
 
 
 </li>
 </ul>
 RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.
 
 
 If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at
 
 
 rsa.global.talent.acquisition@rsa.com
 
 
 . RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>

RSA- Senior Data Scientist

Ampstek

<div>
 
 Hi Professionals,
 
 
 
 
 
 Greetings From Ampstek!!
 
 
 
 
 
 Hope you are high in your spirits. Please stay safe.
 
 
 
 
 
 Our client is looking for
 
 Applied Scientist
 
 to join a high-growth organization. If you are interested share you resume
 
 sudhakaran.m@ampstek.com
 
 
 
 
 
 
 
 Role: Applied Scientist
 
 
 
 
 Location: Cairo, Egypt(Onsite 5days/Week)
 
 
 
 
 Duration: Contract
 
 
 
 
 
 
 
 Job Description :
 
 
 
 
 
 
 Required skills:
 
 <ul>
 <li>
 2-5 years of experience in developing machine learning models
 </li>
 <li>
 Solid understanding of machine learning concepts and methods
 </li>
 <li>
 Solid data analysis skills to perform statistical analysis and data visualization
 </li>
 <li>
 In-depth experience with natural language processing
 </li>
 <li>
 In-depth experience with distributed big data processing
 </li>
 <li>
 Teamwork and communication skills in an agile development environment
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Thanks &amp; Regards,
 
 
 
 
 Sudhakaran
 
 
 
 
 IT Recruiter | Europe &amp; UK
 
 
 
 
 Email - sudhakaran.m@ampstek.com
 
 
 
 
 Tel - +44(20)45150009
 
 
 
 
 Ampstek Services Limited
 
 
</div>

Applied Scientist

Canonical

<div>
 As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.
 
 
 Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.
 
 
 As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.
 
 
 We have a number of mid-senior level openings in our team seeking the following:
 
 
 <ul>
 <li>
 Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
 </li>
 <li>
 Strong behavioural interviewing techniques (competency based and psychometric assessments).
 </li>
 <li>
 Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
 </li>
 <li>
 An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject.
 </li>
 <li>
 A high level of personal organisation to work remotely and be effective.
 
 
 </li>
 </ul>
 Location: This is a remote position based in the EMEA region
 
 
 What your day will look like
 
 
 As a Talent Scientist you will:
 
 
 <ul>
 <li>
 Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
 </li>
 <li>
 Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
 </li>
 <li>
 Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
 </li>
 <li>
 Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
 </li>
 <li>
 Consider our employer brand and how our interactions with a candidate impacts their experience.
 </li>
 <li>
 Review and streamline hiring processes and tools to drive continuous improvement.
 </li>
 <li>
 Work with external third parties and platforms to ensure we maximise our return on investment.
 </li>
 <li>
 Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
 </li>
 <li>
 Experience of hiring talent in the technology or consulting industry.
 </li>
 <li>
 A highly data drive mindset with the ability to create measurable outcomes.
 </li>
 <li>
 Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
 </li>
 <li>
 Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
 </li>
 <li>
 Exposure/appreciation of psychometric assessments, including interpretation.
 </li>
 <li>
 Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
 </li>
 <li>
 A high level of personal organisation and self drive to work remotely and be effective.
 </li>
 <li>
 Willingness to travel to company events 2-4 times a year, for up to two weeks each.
 
 
 </li>
 </ul>
 
 Other Skills You May Bring
 
 
 
 <ul>
 <li>
 Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
 </li>
 <li>
 Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
 </li>
 <li>
 Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
 </li>
 <li>
 Psychometric validity and reliability metrics.
 
 
 </li>
 </ul>
 What we offer you
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Talent Scientist

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Mid Senior Data Scientist

Mid Senior Data Scientist

Senior Data Scientist

Data Scientist / Senior Machine Learning Engineer

RSA- Senior Data Scientist

Applied Scientist

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