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associate product development scientist

Mars

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Description:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><ul><li><p>
Works closely with other PDs on jointly resourced projects to learn the new product development process from concept to full scale production</p></li><li><p>
Collaborates with R&amp;D sub functions and cross functional team members to assist in product expertise required to move ideas through the new product launch process.</p></li><li><p>
Collaborates with teams to understand and ensure product quality and food safety requirements are defined and delivered through the completion of raw material, finished product and quality specifications.</p></li><li><p>
Provides proper documentation (notebooks, written reports) and ensures proper knowledge management for all projects and protection of intellectual property.</p></li><li><p>
Hands-on experience to become proficient in prototyping, pilot plant unit operations and skills required to make all components of finished products and build expertise to apply during scale up.</p></li><li><p>
Works to develop a scientific understanding of confectionery specific raw materials, their interactions and translation to shelf stable finished recipes.</p></li><li><p>
Works with other Product Development Scientists to ensure project meets Mars Quality Management Program requirements for the Design and Development of New Products.</p></li><li><p>
Design and develop new prototypes that combine scientific knowledge and consumer insights into product attributes from benchtop through full scale production.</p></li></ul><p></p><p>
Context and Scope:</p><p></p><ul><li><p>
 Works closely with manager and/or peers to solve problems in defined situations by designing and running tests in the pilot plant, leading line trials, documenting findings, analyzing results and documenting research outcomes.</p></li><li><p>
Builds knowledge of the company, processes and customers. Understands key business drivers and uses this understanding to accomplish own work.</p></li><li><p>
Impacts quality of own work and works within guidelines and policies.</p></li><li><p>
Performs defined assignments in the entry level to a technical or expert job progression</p></li><li><p>
Develops competence by performing structured work assignments</p></li><li><p>
Receives instruction, guidance and direction from others</p></li></ul><p>
 #LI-LY1</p></div><p></p>

Associate Product Development Scientist

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Works closely with other PDs on jointly resourced projects to learn the new product development process from concept to full scale production
  </li>
  <li>
   Collaborates with R&amp;D sub functions and cross functional team members to assist in product expertise required to move ideas through the new product launch process.
  </li>
  <li>
   Collaborates with teams to understand and ensure product quality and food safety requirements are defined and delivered through the completion of raw material, finished product and quality specifications.
  </li>
  <li>
   Provides proper documentation (notebooks, written reports) and ensures proper knowledge management for all projects and protection of intellectual property.
  </li>
  <li>
   Hands-on experience to become proficient in prototyping, pilot plant unit operations and skills required to make all components of finished products and build expertise to apply during scale up.
  </li>
  <li>
   Works to develop a scientific understanding of confectionery specific raw materials, their interactions and translation to shelf stable finished recipes.
  </li>
  <li>
   Works with other Product Development Scientists to ensure project meets Mars Quality Management Program requirements for the Design and Development of New Products.
  </li>
  <li>
   Design and develop new prototypes that combine scientific knowledge and consumer insights into product attributes from benchtop through full scale production.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Context And Scope
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Works closely with manager and/or peers to solve problems in defined situations by designing and running tests in the pilot plant, leading line trials, documenting findings, analyzing results and documenting research outcomes.
  </li>
  <li>
   Builds knowledge of the company, processes and customers. Understands key business drivers and uses this understanding to accomplish own work.
  </li>
  <li>
   Impacts quality of own work and works within guidelines and policies.
  </li>
  <li>
   Performs defined assignments in the entry level to a technical or expert job progression
  </li>
  <li>
   Develops competence by performing structured work assignments
  </li>
  <li>
   Receives instruction, guidance and direction from others
   <br/>
   <br/>
  </li>
 </ul>
</div>


Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams.<br>
Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil &amp; gas experience is a strong asset but not mandatory; the ideal candidate brings analytical rigor and problem-solving expertise to solve complex field challenges.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Analyze diverse operational datasets (time series, tabular, sensor logs, etc.) to extract insights and guide model development.
</p></div><div><p>Build and evaluate ML models for forecasting, anomaly detection, pattern recognition, and classification.
</p></div><div><p>Work with engineers to define KPIs and convert domain-specific questions into quantifiable modeling tasks.
</p></div><div><p>Design meaningful visualizations and dashboards to communicate model outputs clearly.
</p></div><div><p>Collaborate with ML Ops and software teams to deploy models into production environments and monitor performance.
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong statistical background and data science expertise with real-world datasets.
</p></div><div><p>Proficient in Python (NumPy, pandas, scikit-learn, XGBoost, etc.); SQL fluency and data wrangling skills.
</p></div><div><p>Experience working with large, messy, or multivariate time series data.
</p></div><div><p>Ability to communicate complex model behavior to engineers and stakeholders.
</p></div><div><p>Comfortable working in cross-functional teams with domain and technical experts.
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Oilfield data exposure (e.g., well data, reservoir simulations, production logs) or interest in industrial applications.
</p></div><div><p>Familiarity with DOF systems or production optimization frameworks.
</p></div><div><p>Exposure to LLMs, NLP techniques, or agent-based AI for enhancing technical workflows.
</p></div><div><p>Cloud familiarity (Azure preferred); knowledge of ML platforms (e.g., Azure ML, Databricks).
</p></div><div><p>Certifications:
</p></div><div><p>Azure Data Scientist Associate or Microsoft AI Fundamentals certification is a plus.
</p></div><div><p>AWS cloud knowledge is welcome but not required.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118736
</p></div><div></div><div><div><p>Data Science
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>05/02/2026
</p></div><div><p>Req. VR-118736</p></div></div></div><p></p>

Data Scientist (on-site)

PepsiCo

<div>Overview:
<div>
PepsiCo is a leading food enterprise sourcing a diverse range of plant raw materials, including potatoes, small grains, corn, and various fruit and vegetable crops. We are seeking an experienced variety and agronomic assessment scientist to lead our potato variety development efforts. This role is responsible for recommending optimal agronomic and agritech solutions to ensure high-performing, quality potatoes for supply chain continuity. By driving internal research and fostering external partnerships, the scientist will deliver actionable insights on the best varieties to support PepsiCo&rsquo;s sustainable agriculture goals and address key business challenges such as productivity, raw material quality, food safety, and supply chain resilience. The position operates within the Ag Science Division of Research and Development, collaborating with multidisciplinary teams in genetics, breeding, systems biology, agronomy, and sustainability. The scientist will also work closely with breeders and business leaders across commercial, supply chain, procurement, processing, R&amp;D quality, and consumer insights to align variety advancement with business priorities, support robust data-driven decisions, and provide growers with tailored agronomic guidance.</div>
Responsibilities:
<ul><li>Developing, coordinating, and delivering the Middle East variety testing plans to develop and select varieties that meet the business defined product profiles Creating a phenotyping and yield trial program that supports commercial decisions, delivers data to the global breeder center, and facilitates go to market value propositions, delivering on sustainability and consumer targets.
</li><li>Developing collaborative relationships with internal partners including the breeding team, trait discovery team, and variety specific agronomy crop technology team. Supporting the development of product profiles with input from the processing, quality, sensory, business, supply chain, and procurement teams.
</li><li>Be center point for variety qualification approval committee in Middle East driving final alignment on varieties that advance to becoming part of the portfolio of options for growers to produce for PepsiCo.
</li><li>Develop and maintain external breeding partnerships to identify, test and validate the progression of new varieties through commercial approval in Middle East.
</li><li>Collaborate with R&amp;D Ag Science sector trialing teams understand region specific variety performance to maintain current data on local varieties into the global Pepsico Variety Catalog.
</li><li>Achieving successful outcomes and timelines, while consistently following guidelines, rules, standards, and compliance. Monitoring, tracking, and maintaining desired outcomes and objectives preparing for future challenges.
</li><li>Engage staff in their personal development and fulfillment of goals, ensuring each has the skills needed for success in their roles and continued growth, while continuously evaluating their fit in their position, their desire and training to accomplish tasks safely, and the resources required to help them achieve their goals</li></ul>
Qualifications:
<ul><li>A PhD (with &gt;5 years experience or MSc +10y experience in an ag seed or chemical company) with plot trial experience preferably in potato, crop trait valuation, strategic needs assessment, trait/variety portfolio management, commercial agronomy and/or technology development of new variety solutions
</li><li>Previous experience executing/managing trials working to support development and implementation of performance and quality testing programs to capture environmental data, phenotype data and define experimental designs that support robust decisions, strengthen go to market messaging and inform breeding models.
</li><li>Experience in leadership and understanding of strategy, brand management, sales and market analysis.
</li><li>Have specialized knowledge of variety testing, statistical experimental design, field plot technique, statistical data analysis and interpretation, plus reporting is required.
</li><li>Possess excellent communication skills, verbal and written; ability to productively interact with people at all levels across the organization.
</li><li>Ability to travel at least 20% of the time domestically and internationally.</li><li>Fluency in English</li></ul></div>

Middle East Variety Trialing and Development Lead

Arrow Electronics

<div>
 <strong>
  Position
  <br/>
  <br/>
 </strong>
 Data Scientist / Senior Machine Learning Engineer
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Position Overview:
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 <br/>
 <br/>
 <strong>
  Time Type
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Information Technology
</div>


Data Scientist / Senior Machine Learning Engineer

Kraft Heinz

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Kraft Heinz Company is seeking a Product Development Associate Technologist who will be responsible for contributing to a high-performing team within the international R&amp;D organization. You will work with peers to continuously improve, gain exposure to senior internal stakeholders, and collaborate with factory operators. In this role, you will be part of the R&amp;D Product Development team, responsible for product development projects and activities that implement the R&amp;D strategy and deliver MEA goals and objectives across the MEA region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop product recipes in accordance with the Product Brief.
  </li>
  <li>
   Master the Product Lifecycle Management (PLM) cycle to develop safe, fit-for-purpose products.
  </li>
  <li>
   Run analytical and organoleptic product tests, validate results, and use them for recipe development and adjustment.
  </li>
  <li>
   Plan and execute industrial trials, validate results, and issue reports.
  </li>
  <li>
   Select and validate ingredients necessary for product development.
  </li>
  <li>
   Create product specifications for new products, ensuring they are accurate, compliant, meet Kraft Heinz manufacturing capabilities, and are entered into the specifications management system.
  </li>
  <li>
   Continuously improve your expertise and skills and build working relationships with internal and external partners to effectively deliver business objectives.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in food science or a related science degree.
  </li>
  <li>
   0&ndash;2 years&rsquo; experience in FMCG.
  </li>
  <li>
   Fluent in English.
  </li>
  <li>
   Desire to learn, share knowledge, and adopt best practices.
  </li>
  <li>
   Knowledge of key product characteristics, analytical methods, and organoleptic attributes.
  </li>
  <li>
   Experience with hygienic design, thermal validation, cleaning validation, CIP optimization, and HACCP.
  </li>
  <li>
   Experience with mixing and dosing, homogenization, emulsification, pumps, and fluid transport.
  </li>
  <li>
   Strong analytical skills.
  </li>
  <li>
   Attention to detail.
  </li>
  <li>
   Ability to manage multiple projects simultaneously.
  </li>
  <li>
   Strong communication skills.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Location(s)
 <br/>
 <br/>
 6 October Factory
 <br/>
 <br/>
 <strong>
  Kraft Heinz is an Equal Opportunity Employer &ndash; Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes
 </strong>
 <strong>
  .
 </strong>
</div>


Product Development Associate Technologist

Finaira

<div><p>The Data Scientist 1 will contribute to the design, development, and deployment of AI and machine learning models to solve specific business problems in the financial sector. Under the guidance of more senior team members, the Data Scientist 1 will participate in data analysis, model building, and communication of findings. This role offers an excellent opportunity to learn and grow within a dynamic team focused on innovative data-driven solutions.</p><p>
The difference you will make</p><ul><li>
Develop and implement individual machine learning models for specific banking applications.</li><li>
Conduct focused data exploration and analysis to support model development.</li><li>
Assist in the deployment and testing of machine learning models.</li><li>
Document model development processes and results.</li><li>
Contribute to data preparation and feature engineering.</li></ul><p><b>
Requirements</b></p><ul><li>
Education: Bachelor&rsquo;s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.</li><li>
Experience:
</li><li>0-3 years of experience in a data-related role, including internships or academic projects involving data analysis and modeling.</li><li>
Exposure to the financial services industry is a plus.</li><li>
Basic familiarity with AI applications in finance is desirable.</li><li>
Technical Skills:
</li><li>Basic proficiency in at least one of the following languages: Python or R.</li><li>
Basic understanding of machine learning frameworks (scikit-learn, introductory exposure to TensorFlow or PyTorch).</li><li>
Foundational understanding of basic statistical concepts and ML algorithms (Linear/Logistic regression, decision trees).</li><li>
Basic mathematical skills relevant to data analysis.</li><li>
Introductory knowledge of GenAI concepts.</li><li>
Basic proficiency in SQL and database querying.</li><li>
Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, basic use of Tableau or Power BI).</li><li>
Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.</li><li>
Basic understanding of working with large data sets.</li></ul><br>
<p></p><ul><li>
Soft Skills:
</li><li>Strong ownership and accountability for assigned work.</li><li>
Excellent communication, interpersonal, and conflict resolution skills.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently and collaborate with teams within and across functions.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul></div>

Data Scientist I

Explore 1675+ Associate product development scientist in Egypt this February. Find roles across top companies and apply now to boost your career.

1675 associate product development scientist jobs In Egypt

Associate Product Development Scientist

Associate Product Development Scientist

Data Scientist (on-site)

Middle East Variety Trialing and Development Lead

Data Scientist / Senior Machine Learning Engineer

Product Development Associate Technologist

Data Scientist I