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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

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

Finaira

<div>
 The Senior Data Scientist will lead the design, development, and deployment of complex AI and machine learning models to solve strategic business problems within the financial sector. This role requires deep expertise in data science methodologies, advanced proficiency in relevant tools and technologies, and the ability to independently translate complex business needs into scalable and impactful analytical solutions. The Senior Data Scientist will mentor junior team members, contribute to technical strategy, and communicate findings to executive stakeholders.
 
 
 Focus: Project leadership, strategic analysis, and advanced model development.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Lead end-to-end data science projects from conception to deployment
 </li>
 <li>
 Develop and implement advanced machine learning models and algorithms in banking applications
 </li>
 <li>
 Conduct strategic data analysis to inform business decisions and identify new opportunities
 </li>
 <li>
 Communicate complex technical findings to senior management and stakeholders
 </li>
 <li>
 Drive innovation in data science methodologies and tools
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <li>
 Education: Bachelor's degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master's or Ph.D. preferred
 </li>
 <li>
 Experience:
 </li>
 <ul>
 <li>
 5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact
 </li>
 <li>
 Extensive experience in the financial services industry, with a deep understanding of financial data and business processes
 </li>
 <li>
 Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results
 </li>
 <li>
 Technical skills:
 </li>
 <li>
 Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks
 </li>
 <li>
 Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries)
 </li>
 <li>
 Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques
 </li>
 <li>
 Familiarity with generative AI tools (e.g., Hugging Face, LangChain)
 </li>
 <li>
 Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts
 </li>
 <li>
 Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases)
 </li>
 <li>
 Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards
 </li>
 <li>
 Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies
 </li>
 <li>
 Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences.
 </li>
 <li>
 Strong strategic thinking and a disruptive mindset to develop innovative data solutions
 </li>
 <li>
 Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives
 </li>
 <li>
 Strong customer-centric approach with a focus on delivering tangible business value
 </li>
 <li>
 Demonstrated leadership qualities and the ability to mentor junior team members effectively
 </li>
 <li>
 Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments
 </li>
 <li>
 Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds
 </li>
 <li>
 Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively
 </li>
 <li>
 Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Senior Data 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

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

SysTechCorp Inc

<div>
 
 
 What You&rsquo;ll Do
 
 
 
 &bull; What the role is about: As a Principal/Staff Data Scientist , you will serve
 
 
 as a senior individual contributor responsible for defining analytical approaches,
 
 
 scoping complex data science projects, and delivering high-impact solutions across
 
 
 multiple industries. You will tackle highly complex and ambiguous problems,
 
 
 architect end-to-end data science workflows, and provide deep technical guidance
 
 
 to cross-functional teams&mdash;without direct people management responsibilities.
 
 
 &bull; What impact this role has: Your expertise will shape the technical direction of data
 
 
 science initiatives, influence solution design across teams, and help internal and
 
 
 external stakeholders make well-informed decisions. By leveraging advanced
 
 
 modeling, statistical rigor, and deep domain insight, you will ensure th
 
 
 delivers scalable, high-quality analytical solutions that drive measurable business
 
 
 value for our clients.
 
 
 &bull; What success might look like: Success in this role means independently leading
 
 
 the most challenging parts of data science engagements, producing reliable and
 
 
 scalable solutions, and serving as a trusted technical advisor to product managers,
 
 
 engineers, and business stakeholders. You will be recognized for your ability to
 
 
 translate complex business problems into well-scoped analytical strategies, and for
 
 
 consistently raising the technical bar across the team.
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 &bull; An outline of the team: You will be part of a collaborative and dynamic data science
 
 
 team that works closely with data engineers, project managers, solution architects,
 
 
 and business stakeholders. You will contribute as a high-level technical expert,
 
 
 helping teams navigate complexity and ensuring that analytical solutions are sound,
 
 
 scalable, and aligned with business needs.
 
 
 &bull; The role and the team play : The data science team plays a
 
 
 crucial role in transforming data into strategic assets. As a Principal/Staff Data
 
 
 Scientist, you will influence the technical direction of projects, contribute reusable
 
 
 methodologies, and help shape best practices for developing advanced analytical
 
 
 solutions across multiple engagements.
 
 
 &bull; Who the position reports to: This position reports to the Data Science Team
 
 
 Manager.
 
 
 
 What Makes You a Qualified Candidate / Non-negotiable qualification:
 
 
 
 
 
 
 &bull; Minimum of 8 years of experience in data science, machine learning, or applied
 
 
 analytics.
 
 
 &bull; Expertise in programming languages such as Python and SQL.
 
 
 &bull; Strong understanding of advanced statistical methods, machine learning, deep
 
 
 learning, and GenAI techniques.
 
 
 &bull; Proven ability to scope, architect, and technically lead complex data science
 
 
 projects without direct management responsibilities.
 
 
 &bull; Excellent communication and presentation skills, with the ability to engage both
 
 
 technical and non-technical audiences.
 
 
 
 What You&rsquo;ll Bring
 
 
 
 &bull; Advanced Data Analysis and Modeling: Perform highly complex data analysis and
 
 
 build sophisticated predictive and prescriptive models using advanced statistical,
 
 
 machine learning, and deep learning techniques.
 
 
 &bull; Technical Leadership: Define analytical approaches, scope data science
 
 
 components in partnership with PMs, and lead the technical direction of projects
 
 
 across multiple industries.
 
 
 &bull; Cross-Functional Collaboration: Work closely with data engineers, product
 
 
 managers, and business stakeholders to align on requirements, solution direction,
 
 
 and implementation plans.
 
 
 &bull; Data Exploration: Explore large and diverse datasets to uncover insights, evaluate
 
 
 feasibility, and guide model and feature design.
 
 
 &bull; Model Deployment: Collaborate with engineering teams to implement, optimize,
 
 
 and maintain machine learning models in production environments, ensuring
 
 
 scalability, performance, and reliability.
 
 
 &bull; Mentorship: Provide informal technical mentoring, conduct deep code/model
 
 
 reviews, and guide other data scientists in best practices&mdash;without direct people
 
 
 management.
 
 
 &bull; Communication: Present complex findings, trade-offs, and solution paths to
 
 
 technical teams, business partners, and customer stakeholders in a clear and
 
 
 concise manner.
 
 
 &bull; Continuous Improvement: Stay current with emerging data science, machine
 
 
 learning, and GenAI advancements, applying new techniques to enhance solution
 
 
 quality and accelerate delivery.
 
</div>

Data Scientist

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Mid Senior Data Scientist

Mid Senior Data Scientist

Data Scientist / Senior Machine Learning Engineer

Senior Data Scientist

Talent Scientist

Applied Scientist

Data Scientist