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data scientist / senior machine learning engineer

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data analyst - data analytics & reporting

data 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

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Junior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Data Science, Statistics, Mathematics, or Engineering
 
 .
 </li>
 <li>
 0 to 2 years of experience required.
 </li>
 <li>
 Internship or academic projects showcasing practical data analysis or ML work.
 </li>
 <li>
 Optional certifications (Google Data Analytics, IBM Data Science, etc.).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 
 Programming:
 
 Solid skills in
 
 Python
 
 (Pandas, NumPy, Scikit-learn) and
 
 SQL
 
 .
 </li>
 <li>
 
 Technical skills:
 
 </li>
 <li>
 Cleans and prepares structured datasets using Pandas or Power Query.
 </li>
 <li>
 Can visualize insights with
 
 Matplotlib, Seaborn
 
 .
 </li>
 <li>
 Understands and implements
 
 Machine learning models.
 
 </li>
 <li>
 Basic understanding of
 
 text preprocessing
 
 (tokenization, stop words, TF-IDF).
 </li>
 <li>
 Exposure to
 
 pretrained models via Hugging Face
 
 for small tasks (e.g., sentiment analysis).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Curious mindset and willingness to learn from mentors.
 </li>
 <li>
 Strong analytical thinking and communication of results.
 </li>
 <li>
 Works effectively under supervision within cross-functional teams.
 </li>
 </ul>
</div>

Junior Data Scientist

Siemens EDA (Siemens Digital Industries Software)

<div>
 Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
 
 
 We are looking for passionate Data Scientists who will be a member of our technology and innovation team responsible for new technology development and innovation projects within our organization.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Research, create and implement advanced statistical models and cutting-edge machine learning algorithms on fast-moving structured and unstructured data to support decision making.
 </li>
 <li>
 You need to Investigate the most appropriate techniques to solve complex problems by assessing diverse mathematical, statistical and AI models.
 </li>
 <li>
 Collaborate with engineering teams to seamlessly transition AI innovations into scalable and reliable operational solutions.
 </li>
 <li>
 Communicate findings and insights to both technical and non-technical stakeholders through clear and concise reports, visualizations and presentations to gain alignment and drive business actions.
 </li>
 <li>
 You have to collaborate with Software Engineers to ensure the smooth integration of data science products into global offerings.
 </li>
 <li>
 Have a very strong product mindset and proactively ideate, design, improve and automate relevant data products.
 </li>
 <li>
 Guide and mentor junior data scientists and rest of the team on modeling process and algorithm and foster a collaborative and innovative work environment.
 </li>
 <li>
 Stay up to date with the latest advancements in LLM, NLP, deep learning, and machine learning algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 PhD or master&rsquo;s degree in computer science, statistics, data science or other discipline (e.g., electrical engineering, economics, psychology) that exposes scientific methods of research and analysis.
 </li>
 <li>
 Experience in a professional context, preferably in a global setup with distributed virtual teams and environments.
 </li>
 <li>
 Should have Strong data fundamentals and demonstrated ability to organize, clean, schematize and process data, as well as good understanding of how to use data science methodologies to solve complex problems.
 </li>
 <li>
 Expertise in large deep-learning model fine-tuning and deployment.
 </li>
 <li>
 Experience in working with generative/multi-modal/multi-task models will be a plus.
 </li>
 <li>
 Solid programming skills of Python and familiar with challenges working with large data.
 </li>
 <li>
 Strong academic and publication record is desired.
 </li>
 <li>
 Proficiency in English
 
 
 </li>
 </ul>
 
 Working at Siemens Software
 
 
 
 
 Why us?
 
 
 
 Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 Siemens Industry Software is an equal opportunities employer and does not discriminate unlawfully on the grounds of age, disability, gender assignment, marriage, and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or trade union membership.
 
 
 
 Transform the everyday
 
 
 
</div>

<div>
 
 
 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&rsquo;s or Master&rsquo;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>
 </ul>
 
 
 
 <ul>
 <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&amp;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>
 </ul>
 
 
 
 <ul>
 <li>
 
 Leadership &amp; 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>
</div>

Senior Data Scientist

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Andela

<div>
 
 Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
 
 
 At Andela, we&rsquo;re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We&rsquo;re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you&rsquo;ll have access to a multitude of exclusive technologist roles.
 
 
 Join Andela today to access this opportunity and more in our global marketplace!
 
 
 Our roles are typically filled at lightning speed, so if you&rsquo;re considering applying, get your application in quickly!
 
 
 
 
 
 
 About the client
 
 
 
 A leading financial institution in Egypt that offers a wide range of banking products and services to individuals, corporations, and institutions. The company focuses strongly on innovation, customer service, and digital transformation, aiming to support economic growth and deliver value through modern financial solutions and a nationwide branch network.
 
 
 
 
 
 
 About the role
 
 
 
 This is a technical leadership position responsible for applying advanced analytics, machine learning, GenAI, and statistical modeling to address complex business problems. The Lead Data Scientist will develop predictive models and algorithms, deliver deep data insights, and oversee data-driven solutions from concept to production. The role involves leading and mentoring a team of data scientists, collaborating across functions, and ensuring that projects align with business goals.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models, AI algorithms, and statistical analyses for business challenges (e.g., predictive analytics, recommendation systems, hyper-personalization, fraud detection).
 </li>
 <li>
 Lead a team of data scientists, providing technical guidance and mentoring on model development, experimentation, and implementation.
 </li>
 <li>
 Partner with Product, Engineering, Delivery, and Business teams to integrate data science solutions into production systems.
 </li>
 <li>
 Identify relevant datasets, perform data mining, and ensure data quality for modeling.
 </li>
 <li>
 Communicate insights and model outcomes to both technical and non-technical stakeholders to inform business decisions.
 </li>
 <li>
 Define project roadmaps from ideation to production deployment and monitoring, ensuring alignment with business objectives.
 </li>
 <li>
 Build predictive and prescriptive models (classification, regression, clustering, time-series, GenAI, etc.).
 </li>
 <li>
 Explore and pilot new methods, select appropriate modeling approaches (Deep Learning, NLP, GenAI, LLMs, XAI), and promote best practices.
 </li>
 <li>
 Describe AI models using Explainable AI techniques.
 </li>
 </ul>
 
 
 
 
 
 Must have skills
 
 
 <ul>
 <li>
 BSc in Computer Science, Information Technology, Computer Engineering or related field.
 </li>
 <li>
 7+ years of experience leading projects and teams of data science.
 </li>
 <li>
 Experience in delivering similar projects in the banking sector.
 </li>
 <li>
 Proficiency in Python (or R), SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 MUST: Experience deploying models in production environments, not only solution development.
 </li>
 <li>
 Preferred: Master&rsquo;s or Diploma in Data Science, Statistics, Applied Mathematics, or related field.
 </li>
 <li>
 Fluency in Arabic and English.
 </li>
 </ul>
 
 
 
 
 
 Conditions
 
 
 <ul>
 <li>
 Hybrid role &mdash; requires being on-site in New Cairo, Egypt, 3 times per week, with 8 hours of overlap with UTC+2.
 </li>
 <li>
 Contractor role &mdash; 12-month contract, renewable.
 </li>
 <li>
 Full-time dedication (40 hours/week).
 </li>
 <li>
 BYOD (bring your own device) required.
 </li>
 </ul>
 
 
 
 
 At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices.
 
 
 Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.
 
 
 
</div>

Lead Data Scientist

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