senior data scientist

Majid Al Futtaim

<div>
 
 JOB TITLE
 
 
 
 Data Scientist | Majid Al Futtaim Customer Solutions | Emirati Talent
 
 
 
 Role Summary
 
 
 
 The Data Scientist will support analytics and data science initiatives across Customer Solutions use cases such as personalization, marketing effectiveness, and fintech/fraud. The role involves data preparation, analysis, feature engineering, experimentation, and supporting ML models in production. Working closely with senior data scientists and cross‑functional teams, the role contributes to customer‑focused, commercially driven data solutions.
 
 
 
 ROLE PROFILE
 
 
 
 <ul>
 <li>
 Support analytics and data science initiatives across Customer Solutions use cases including personalization, marketing effectiveness, and fintech/fraud
 </li>
 <li>
 Perform data preparation, exploratory analysis, and feature engineering using Python and SQL
 </li>
 <li>
 Continuously learn modern data science tools, techniques, and best practices while supporting customer‑focused solutions
 </li>
 <li>
 Support monitoring, reporting, and performance tracking of models and experiments in production
 </li>
 <li>
 Work closely with senior data scientists to document workflows, models, and analytical outputs
 </li>
 <li>
 Collaborate with Product, Engineering, and Data Engineering teams to understand data and business requirements
 </li>
 <li>
 Contribute to A/B testing design, analysis, and interpretation of results
 </li>
 <li>
 Assist in building, testing, and evaluating machine learning and analytical models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Degree in computer science, mathematics, statistics, economics, or a related technical discipline
 </li>
 <li>
 1&ndash;3 years of experience in data analytics, data science, or a related analytical role, with strong fresh graduates considered
 </li>
 <li>
 Strong foundation in Python for data analysis and SQL for querying and analysing datasets
 </li>
 <li>
 Ability to analyse data, generate insights, and communicate findings clearly to stakeholders
 </li>
 <li>
 Basic understanding of statistics, machine learning concepts, and analytical techniques
 </li>
 <li>
 Exposure or willingness to learn tools and concepts such as ML libraries, experimentation, cloud platforms, or data visualization
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
</div>

Data Scientist | Emirati Talent

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. 
 
As a Senior Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.<ul><li>
Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.</li><li>
Ensure data is structured to support self-service analytics and business intelligence.</li><li>
Work closely with data engineers to define data requirements and enhance ETL pipelines.</li><li>
Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.</li><li>
Implement and enforce data quality best practices to ensure accuracy and consistency.</li><li>
Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.</li><li>
Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.</li></ul> 
Qualifications<ul><li> 
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
Strong proficiency in Python, SQL and experience with dbt for data modeling.</li><li>
Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).</li><li>
Familiarity with version control (Git) and CI/CD practices for data workflows.</li><li>
Understanding of data engineering principles, including ETL/ELT processes.</li></ul></div>

Senior Analytics Engineer

Almosafer

<div>
 Job description:
 
 
 
 &nbsp;
 
 
 
 About the Role:&nbsp;
 
 
 We are seeking a Senior Data Analyst to join Almosafer&rsquo;s Data Intelligence team, embedded within the Marketing and CRM function, to power acquisition and retention strategies with data. You will partner closely with digital marketing (brand and performance), CRM, and loyalty teams to optimize spend, increase retention, and maximize customer lifetime value, while ensuring analytics follow Data Intelligence standards and governance. The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in digital marketing and CRM analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.
 
 
 &nbsp;
 
 
 
 Responsibilities:
 
 
 Acquisition &amp; Digital Marketing Analytics:
 
 <ul>
 <li>
 Act as the primary data partner for digital marketing channels (paid search, paid social, display, programmatic) and organic channels (SEO, referral, content).
 </li>
 <li>
 Build and maintain attribution models to evaluate channel effectiveness and optimize spend.
 </li>
 <li>
 Develop targeting strategies and audience segments for prospecting and retargeting campaigns.
 </li>
 </ul>
 
 CRM &amp; Retention Analytics:
 
 <ul>
 <li>
 Analyze customer behavior, repeat booking patterns, churn risk, and loyalty program engagement.
 </li>
 <li>
 Build retention and churn prediction models to improve CRM targeting.
 </li>
 <li>
 Measure and optimize CRM campaigns (email, push, in-app, SMS) for engagement and conversion.
 </li>
 <li>
 Partner with CRM managers to design and analyze A/B tests for lifecycle marketing.
 </li>
 </ul>
 
 Advanced Modelling &amp; Data Solutions:
 
 <ul>
 <li>
 Design and deploy ML and rule-based models for bid optimization, lifetime value prediction, and personalized offers.
 </li>
 <li>
 Ensure marketing and CRM datasets are high-quality and aligned with DI governance.
 </li>
 <li>
 Work with Marketing Automation teams to integrate model outputs into execution tools (Moengage, Salesforce Marketing Cloud, etc.).
 </li>
 </ul>
 
 BI Reporting &amp; Data Storytelling:
 
 <ul>
 <li>
 Build self-service dashboards in Tableau, Power BI, Looker, or similar to monitor acquisition, retention, and ROI metrics.
 </li>
 <li>
 Translate data into clear, actionable insights for marketing and CRM leadership.
 </li>
 <li>
 Monitor and report on KPIs such as CAC, ROAS, CLV, retention rates, and campaign ROI.
 </li>
 </ul>
 
 Collaboration &amp; Governance:
 
 <ul>
 <li>
 Act as a bridge between Marketing/CRM and the central Data Intelligence function, ensuring consistent definitions and methodologies.
 </li>
 <li>
 Share analytical best practices with other embedded analysts across functions.
 </li>
 <li>
 Promote data literacy within marketing and CRM teams.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Profile Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in STEM, Business Analytics, or related field.
 </li>
 <li>
 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
 </li>
 <li>
 Proficiency in SQL, Python or R, and advanced Excel.
 </li>
 <li>
 Strong experience in digital marketing analytics platforms (Google Analytics, Google Ads, Facebook Ads Manager, DV360) and CRM analytics.
 </li>
 <li>
 Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
 </li>
 <li>
 Strong knowledge of customer lifecycle metrics (CAC, CLV, churn rate, retention cohorts).
 </li>
 <li>
 Excellent stakeholder management and communication skills; English fluency (Arabic preferred).
 </li>
 <li>
 Experience building and deploying machine learning models for acquisition and retention.
 </li>
 <li>
 Knowledge of rule-based targeting and marketing automation tools (Moengage, Salesforce Marketing Cloud, Adobe Campaign).
 </li>
 <li>
 Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way.&nbsp;Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 
 
 &nbsp;
 
 
 Here, you will find:
 
 A purpose-led workplace where your ideas can create real impact
 
 Ongoing learning and development to help you grow with intention
 
 Recognition that celebrates your wins, both big and small
 
 A community built on trust, curiosity, and shared momentum
 
 
 &nbsp;
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Senior Specialist - Data Intelligence

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build:
In this role, you'll turn data into decisions by identifying high-value business problems, framing them analytically, and delivering models and insights that improve customer outcomes and product performance. You'll work across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning, while partnering closely with product, engineering, sales, operations, or finance stakeholders. Your work will not stop at model accuracy: you'll define success metrics, quantify impact, translate findings into business actions, and help teams prioritize based on value, risk, and feasibility. You&rsquo;ll also contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for summarization, classification, knowledge extraction, and decision support. The role requires someone who can connect business context with rigorous analysis, explain trade-offs clearly, and influence roadmap decisions with evidence.
What you bring:<ul><li>
Strong command of Python and SQL for data extraction, statistical analysis, feature engineering, model development, and analytical automation</li><li>
You have a deep understanding of statistics and probability, including hypothesis testing, experiment design, A/B testing, regression, causal thinking, and interpreting uncertainty</li><li>
You have hands-on experience with a range of machine learning techniques, such as classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling</li><li>
You are skilled at framing business problems into measurable analytical questions, defining success metrics, and connecting model outputs to commercial or operational decisions</li><li>
You excel at building clear data narratives through dashboards, visualizations, presentations, and concise executive communication</li><li>
You demonstrate practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability</li><li>
You have exposure to modern AI approaches, including NLP, generative AI, and LLM-assisted analytics (e.g., semantic search, text classification, summarization, prompt-based analysis)</li><li>
You are experienced with modern analytics and data platforms, such as notebooks, BI tools, cloud data warehouses, Spark, and large-scale data processing environments</li><li>
You have a strong understanding of data quality, lineage, governance, and the discipline required to produce trustworthy and reusable analyses</li></ul>
About You<ul><li>
6+ years of data science experience</li><li>
You are curious and bring a structured approach to problem-solving, with the ability to break down complex challenges into clear, actionable steps</li><li>
You are a strong collaborator who enjoys working cross-functionally and influencing decisions through data</li><li>
You are motivated by driving real-world impact, ensuring your analyses and models lead to measurable business outcomes</li><li>
You continuously seek to learn and stay current with evolving data science and AI trends</li></ul>
Where you belong:
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters.This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy, not just produce analysis. We value sharp thinking, business curiosity, and clear communication.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450274 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Data Science Expert

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 We are looking for a
 
 Sr. AI Engineer
 
 to join our
 
 GenAI Squad
 
 , your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as
 
 data enrichment, smart content understanding
 
 , and
 
 automated decision-making
 
 to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 5+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator, and communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Sr. Data Scientist (AI & ML)

Thermo Fisher Scientific

<div>
 
 Work Schedule
 
 
 
 Standard (Mon-Fri)
 
 
 
 Environmental Conditions
 
 
 
 Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Laboratory Setting, Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.), Will work with hazardous/toxic materials
 
 
 As part of the Thermo Fisher Scientific team, you&rsquo;ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world&rsquo;s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
 
 
 
 Application Scientist / Spectroscopist (FTIR / Raman / FT‑NIR) &ndash; Middle East and Africa
 
 
 
 
 Primary Location: UAE &ndash; Dubai
 
 
 
 
 Note:
 
 You will
 
 have to travel regularly to Sharjah
 
 for equipment demonstration duties.
 
 
 
 Primary Territory / Coverage
 
 
 
 
 Middle East and Africa
 
 (customer-facing regional coverage; partnership with ME and Africa sales team and EMEA Sales team
 
 
 
 Travel
 
 
 
 
 50% travel required
 
 . Travel is
 
 predominantly within ME and Africa
 
 , with
 
 additional EMEA travel as needed
 
 to support customers and business priorities.
 
 
 
 Position Summary
 
 
 
 The Application Scientist/Spectroscopist provides expert technical leadership for
 
 industrial micro- and macro-sample analysis
 
 using
 
 FTIR, FT‑NIR and Raman
 
 , including
 
 FTIR microscopy
 
 . The role delivers high-impact
 
 pre‑sales and post‑sales applications support
 
 , customer trainings, sample/data interpretation, and on-site technical problem solving across the Middle East and Africa territory, while also maintaining strong readiness for wider EMEA needs.
 
 
 This position also has
 
 direct accountability for applications lab management
 
 (instrument readiness, workflow, safety, and customer demo/training execution) and serves as a key technical partner to commercial teams to protect and grow the regional opportunity.
 
 
 
 Essential Duties &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Field &amp; Customer Applications Support (Pre‑Sales / Post‑Sales)
 </li>
 <li>
 Serve as the subject matter expert for spectroscopy-based industrial applications using FTIR, FT‑NIR, Raman and FTIR microscopy.
 </li>
 <li>
 Lead discovery with customers to understand requirements and recommend fit-for-purpose solutions (technique selection, sampling approach, workflows, and best practices).
 </li>
 <li>
 Execute customer-facing activities including:
 </li>
 <ul>
 <li>
 feasibility discussions and application qualification
 </li>
 <li>
 in-lab and on-site demonstrations
 </li>
 <li>
 method guidance and troubleshooting support
 </li>
 <li>
 customer onboarding and technical trainings (including paid trainings where applicable)
 </li>
 </ul>
 <li>
 Deliver expert spectral/data interpretation and provide clear conclusions aligned to customer goals (FTIR/FT‑NIR/Raman/FTIR microscopy).
 </li>
 <li>
 Produce high-quality customer reports aligned to customer requirements and clearly communicating technical outcomes and ROI/value.
 </li>
 <li>
 Technical Expertise &amp; Instrument Troubleshooting
 </li>
 <li>
 Provide hands-on instrument troubleshooting (initial diagnostics, root-cause thinking, and coordination with service as required).
 </li>
 <li>
 Maintain deep working knowledge of spectroscopy workflows relevant to industrial sample matrices and customer use cases.
 </li>
 <li>
 Lab Ownership &amp; Management (Required)
 </li>
 <li>
 Own day-to-day applications lab management, including:
 </li>
 <ul>
 <li>
 instrument/demo readiness and scheduling
 </li>
 <li>
 sample intake, handling, preparation and storage
 </li>
 <li>
 lab workflow planning to meet customer deadlines
 </li>
 <li>
 consumables tracking and inventory coordination
 </li>
 <li>
 documentation, good lab practices, and EHS compliance
 </li>
 <li>
 continuous improvement of lab processes and customer experience
 </li>
 </ul>
 <li>
 Stakeholder &amp; Territory Collaboration
 </li>
 <li>
 Partner closely with ME and Africa commercial teams and the wider EMEA network to support opportunity development and improve win probability through strong technical engagement.
 </li>
 <li>
 Collaborate cross-functionally (applications, service, product management, sales leadership) to ensure consistent customer outcomes and internal alignment.
 
 
 </li>
 </ul>
 
 Minimum Qualifications (Required)
 
 
 
 <ul>
 <li>
 Education: BSc required; MSc/PhD preferred in Physical Chemistry, Materials Science, Analytical Chemistry, or equivalent experience.
 </li>
 <li>
 Experience: Minimum 2 years hands-on experience operating FTIR instruments, including FTIR microscope experience.
 </li>
 <li>
 Demonstrated experience handling and preparing a wide variety of sample matrices (industrial/real-world samples).
 </li>
 <li>
 Proven capability in spectral/data interpretation across FTIR / FT‑NIR / Raman / FTIR microscopy.
 </li>
 <li>
 Hands-on capability and confidence in instrument troubleshooting.
 </li>
 <li>
 Strong written and verbal communication skills, including the ability to produce clear customer reports tied to requirements and outcomes/ROI.
 </li>
 <li>
 Strong time management and ability to deliver high-quality work efficiently, meeting deadlines, and working with limited supervision.
 </li>
 <li>
 Location requirement: Must live in Dubai and travel regularly in ME and Africa
 </li>
 <li>
 Travel requirement: Willing and able to travel ~50%, mainly within Middle East and Africa region, with EMEA travel as required.
 
 
 </li>
 </ul>
 
 Preferred Qualifications (Nice To Have)
 
 
 
 <ul>
 <li>
 Experience with Raman spectroscopy and/or FT‑NIR spectroscopy in industrial applications.
 </li>
 <li>
 Experience delivering customer trainings, method development, feasibility/demos, and supporting commercial teams in a customer-facing applications role.
 </li>
 <li>
 Additional local languages relevant to the territory , in addition to professional English.
 
 
 </li>
 </ul>
 
 Knowledge, Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Deep spectroscopy competence (FTIR/FT‑NIR/Raman; microscopy workflows) and strong analytical problem solving.
 </li>
 <li>
 Customer-first mindset: ability to translate needs into practical solutions and communicate trade-offs clearly.
 </li>
 <li>
 Strong documentation/reporting discipline; communicates clearly with internal and external stakeholders.
 </li>
 <li>
 Ability to prioritize and execute in a high-demand environment (multiple opportunities, deadlines, and travel).
 
 
 </li>
 </ul>
</div>

Application Scientist / Spectroscopist (FTIR / Raman / FT NIR) – Middle East and Africa

<div>Title:
Senior Specialist / Senior Business Process Analyst
Job Title: Senior Specialist / Senior Business Process Analyst 
Location: Dubai, UAE (Global delivery role) 
Employment Type: 12-month fixed-term / Full‑time
Opportunity
We are seeking a Senior Specialist / Senior Business Process Analyst to support payroll‑related solutions through functional systems analysis, implementation support, and data‑driven insights.
This role is suited to experienced professionals with strong enterprise systems and analytical capability. Prior payroll, finance, or accounting experience will be an advantage. Strong Systems thinking and analytical capability are the key success factors.
This role supports global operations and may require some flexibility in working hours.
Responsibilities
The key responsibilities of the role include, but are not limited to:<ul><li>
Translate business and regulatory requirements into clear, system-ready functional designs and rules to support payroll system implementations and enhancements.</li><li>
Support payroll system implementations, including third‑party providers (e.g. ADP), across discovery, configuration, testing, and migration phases.</li><li>
Perform impact analysis for payroll-related system and process changes, including entity moves, configuration updates, and integrations.</li><li>
Validate payroll system behavior and outputs across HR, payroll, and downstream finance systems to ensure alignment with defined functional requirements.</li><li>
Apply and continuously build payroll domain knowledge (gross-to-net, deductions, accruals, terminations) to support accurate system design and validation.</li><li>
Support testing, UAT, parallel payroll runs, and payroll migrations by analyzing results, identifying variances, determining root causes, and supporting remediation.</li><li>
Use advanced Excel and analytical tools to perform data analysis, reconciliations, and variance investigations, translating findings into business-friendly insights.</li><li>
Contribute to continuous improvement of business processes through data‑driven analysis and appropriate use of digital solutions.</li><li>
Collaborate with HR, Payroll Operations, IT, Finance, and external vendors to support delivery and issue resolution, escalating risks and dependencies to the Lead Analyst as appropriate.</li></ul>
Skills &amp; Experience
Essential<ul><li>
Hands‑on experience with enterprise platforms (e.g. Workday, Microsoft Dynamics 365, Costpoint, SAP, or ADP Celergo) in a functional systems or implementation support role.</li><li>
5+ years&rsquo; experience in functional systems analysis, enterprise system implementations, or transformation initiatives within complex environments.</li><li>
Experience supporting ERP system delivery, including UAT, parallel runs, data migrations, and integration testing.</li><li>
Strong analytical and structured problem‑solving skills, with the ability to translate complex business requirements into clear system logic and functional designs.</li><li>
Advanced Microsoft Excel skills, including large‑data analysis, reconciliations, variance analysis, and root‑cause investigation.</li><li>
Strong communication skills, able to explain system behavior and analytical findings to both technical and non‑technical stakeholders.</li></ul>
Desirable
<ul><li>Exposure to payroll, HCM, finance, or accounting operations, supporting understanding of end‑to‑end processes and downstream impacts.</li><li>
Familiarity with analytics and reporting tools such as Power BI, and/or Python or similar scripting tools, to support data analysis, reconciliation, or light automation.</li><li>
Exposure to digital and automation platforms (e.g. Microsoft Power Platform, Nintex, UiPath) to support workflow automation and process optimization.</li><li>
Strong learning mindset, attention to detail, and ability to work effectively across business, technology, and delivery teams.</li></ul>
Education Qualifications<ul><li>
A bachelor&rsquo;s degree from a recognized university in Information Systems, Computer Science, Data Analytics, Business, Finance, Accounting, or related discipline is required.</li><li>
A master&rsquo;s degree and/or relevant professional certifications are considered an added advantage.</li></ul></div>

Senior Specialist / Senior Business Process Analyst

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