senior data scientist

senior quantity surveyor

senior project engineer

sr. planning engineer

quantitative researcher

senior research scientist

Envision Employment Solutions

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

1inch

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 <br/>
 <br/>
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 <br/>
 <br/>
 <em>
  Location: We hire with a focus on Dubai and Europe. For this role, we prefer candidates who are either based in Dubai or working remotely within +/- 4 hours GST time.
  <br/>
  <br/>
 </em>
 We&rsquo;re looking for a Senior Data Scientist to help strengthen our growing Data &amp; Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They&rsquo;ll also support product, business, and strategic decision-making through advanced analytics.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Actively shaping how company uses data for strategic decisions
  </li>
  <li>
   Enhance data infrastructure and tooling for improved efficiency
  </li>
  <li>
   Support critical business units with ad-hoc analytics and insights
  </li>
  <li>
   Conduct deep-dive research and analysis to uncover actionable findings
  </li>
  <li>
   Improve data collection and analytics processes across teams
  </li>
  <li>
   Ensure dashboards provide clarity, usability, and real-time visibility
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 5+ years of experience in data science, data analytics, or related field
  </li>
  <li>
   Proven track record of implementing data infrastructure improvements and optimisations
  </li>
  <li>
   Prior experience working with blockchain tools or DeFi data strongly preferred
  </li>
  <li>
   Strong proficiency in SQL, Python, and data visualisation tools
  </li>
  <li>
   Experience with data warehousing, ETL processes, and data pipeline optimisation
  </li>
  <li>
   Understanding of statistical concepts and practical experience applying them
  </li>
  <li>
   Ability to translate complex findings into clear, actionable insights
  </li>
  <li>
   Collaborative mindset with excellent communication skills to work effectively across teams
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Crypto/Web3 analytical stack (Dune, Nodes, Flipside)
  </li>
  <li>
   Low level blockchain data understanding (traces, events)
  </li>
  <li>
   Experience in uncovering business-driving data insights
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Work For Us?
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Join a young, creative team in a fast-paced and supportive environment
  </li>
  <li>
   We&rsquo;re open to new ideas &mdash; if you&rsquo;ve got a vision, pitch it and make it happen
  </li>
  <li>
   Enjoy competitive pay that matches your skills and experience
  </li>
  <li>
   Be part of a company that&rsquo;s shaping the future of DeFi
  </li>
  <li>
   Take time when you need it &mdash; we offer unlimited vacation days
  </li>
  <li>
   Get fully compensated for your work gear &mdash; we&rsquo;ll set you up for success
  </li>
  <li>
   Travel with us! We host an annual team retreat at a top international location
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Chalhoub Group

<div>
 <strong>
  INSPIRE | EXHILARATE | DELIGHT
  <br/>
  <br/>
 </strong>
 For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
 <br/>
 <br/>
 Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
 <br/>
 <br/>
 Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work&reg; certification in several markets.
 <br/>
 <br/>
 Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Senior Data Scientist
 </strong>
 to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.
 <br/>
 <br/>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
  </li>
  <li>
   Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
  </li>
  <li>
   Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
  </li>
  <li>
   Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
  </li>
  <li>
   Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
  </li>
  <li>
   Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
  </li>
  <li>
   Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
  </li>
  <li>
   Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
  </li>
  <li>
   Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
  </li>
  <li>
   Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
  </li>
  <li>
   Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
  </li>
  <li>
   Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7 years of experience in applied data science or machine learning.
  </li>
  <li>
   Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).
  </li>
  <li>
   Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.
  </li>
  <li>
   Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.
  </li>
  <li>
   Knowledge of model performance metrics, statistical validation, and A/B testing approaches.
  </li>
  <li>
   Familiarity with bias detection techniques and fairness frameworks.
  </li>
  <li>
   Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.
  </li>
  <li>
   Comfort working with structured and semi-structured data, including tabular and time-series formats.
  </li>
  <li>
   Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.
  </li>
  <li>
   Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.
  </li>
  <li>
   Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Can Offer You
  <br/>
  <br/>
 </strong>
 With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
 <br/>
 <br/>
 We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
 <br/>
 <br/>
 <strong>
  We Invite All Applicants to Apply
  <br/>
  <br/>
 </strong>
 It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
 <br/>
 <br/>
 We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.
</div>


<div><p><b>INSPIRE | EXHILARATE | DELIGHT</b></p><p>
For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.</p><p>
Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.</p><p>
Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work certification in several markets.</p><p>
Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.</p><p><b><br>
What You'll Be Doing</b>
</p><p>We are looking for a <b>Senior Data Scientist </b>to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.</p><p><b>
Key Accountabilities</b></p><p>
1. Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.</p><p>
2. Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.</p><p>
3. Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.</p><p>
4. Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.</p><p>
5. Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.</p><p>
6. Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.</p><p>
7. Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.</p><p>
8. Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.</p><p>
9. Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.</p><p>
10. Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.</p><p>
11. Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.</p><p>
12. Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
</p><p><b>What You&rsquo;ll Need To Succeed</b>
</p><ul><li>5&ndash;7 years of experience in applied data science or machine learning.</li><li>Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).</li><li>Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.</li><li>Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.</li><li>Knowledge of model performance metrics, statistical validation, and A/B testing approaches.</li><li>Familiarity with bias detection techniques and fairness frameworks.</li><li>Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.</li><li>Comfort working with structured and semi-structured data, including tabular and time-series formats.</li><li>Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.</li><li>Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.</li><li>Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.</li></ul><p><b>
What We Can Offer You</b>
</p><p>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
</p><p>We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
</p><p><b>We Invite All Applicants to Apply</b></p><p>
It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.</p><p>
We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</p></div>

Salt

<div>
 <p>
  <strong>
   Data Scientist &ndash; Healthcare
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Opportunity
  </strong>
 </p>
 <p>
  My client is hiring a commercially minded
  <strong>
   Data Scientist
  </strong>
  to drive insight-led decision-making across a global healthcare events portfolio. Reporting to the Marketing Director, this newly created role will play a key role in unlocking growth across audiences, exhibitors, and revenue.
 </p>
 <p>
  You&rsquo;ll turn complex data into clear, actionable insights that inform marketing, commercial, and product strategy &mdash; helping the business move faster and smarter.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About You
  </strong>
 </p>
 <ul>
  <li>
   5+ years&rsquo; experience as a Data Scientist or Senior Analyst (marketing, SaaS, or events experience preferred)
  </li>
  <li>
   Strong expertise in data modelling, predictive analytics, segmentation, and growth analytics
  </li>
  <li>
   Proficient in
   <strong>
    Python, SQL, Power BI
   </strong>
   (or similar tools)
  </li>
  <li>
   Experience working with
   <strong>
    CRM and marketing automation data
   </strong>
  </li>
  <li>
   Commercially focused, with the ability to link insights to revenue and growth
  </li>
  <li>
   Confident communicator who can influence non-technical stakeholders
  </li>
  <li>
   Curious, proactive, and driven by impact
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Translate marketing, audience, and exhibitor data into actionable strategic insights
  </li>
  <li>
   Identify growth opportunities through audience behaviour and segmentation analysis
  </li>
  <li>
   Build and measure growth loops across engagement, retention, and referrals
  </li>
  <li>
   Analyse campaign performance, attribution, and ROI to optimise spend
  </li>
  <li>
   Develop predictive models for attendance, leads, and exhibitor demand
  </li>
  <li>
   Design dashboards and reporting that support real-time decision-making
  </li>
  <li>
   Partner cross-functionally to embed insights into everyday business decisions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  *** Only successful candidates will be contacted ***
 </p>
 <p>
 </p>
</div>


Data Scientist- Healthcare

International Center for Biosaline Agriculture

<div><div><p>The International Center for Biosaline Agriculture(ICBA) is an international, non-profit agricultural research center established in 1999 through the visionary leadership of the Islamic Development Bank (IsDB), the Organization of the Petroleum Exporting Countries (OPEC) Fund, the Arab Fund for Economic and Social Development (AFESD), and the Government of the United Arab Emirates (UAE). ICBA is a unique applied agricultural research center in the world that is focused on marginal areas where an estimated 1.7 billion people live. It identifies, tests and introduces resource-efficient, climate-smart crops and technologies that are best suited to different regions affected by salinity, water scarcity and drought. Through its work, ICBA helps to improve food security and livelihoods for some of the poorest rural communities around the world. ICBA is an equal opportunity employer and appoints qualified staff regardless of race, creed, color, age, gender, religion or national origin. We demonstrate our commitment to each member of our team through a competitive benefits package designed to assist our employees to cover their needs and the needs of their immediate family members.</p></div>
<div><div>Job Summary</div>
<div><p>ICBA is seeking a skilled Plant Protection Technician to support lab, on-station and on-farm research activities related to Good Agricultural Practices (GAP) for management of Red Palm Weevil (RPW) in date palm systems in the UAE and other project countries. The role includes technical and logistical support to surveys, field data collection, and assistance in lab and field trials.</p></div>
</div><div><div>Job Responsibilities</div>
<div><ul><li>Assist in conducting surveys and field assessments to assess agricultural practices related to GAP and RPW management in date palm systems.</li><li>
Support in research activities and assist in the implementation of field trials on RPW control including agronomic, sanitation practices and in evaluating the effectiveness of innovative tools.</li><li>
Supporting laboratory bioassays, and various testing and evaluations.</li><li>
Data collection, data entry, basic analysis and maintain accurate records of observations, treatments, and outcomes using standard protocols.</li><li>
Assist in setting up Farmer Field Schools and field demonstrations plots to demonstrate the impact of GAP on RPW control.</li><li>
Ensure proper handling, calibration, maintenance and overseeing the project&rsquo;s tools, equipment, field structures and ensuring their best upkeep.</li><li>
Follow safety and biosecurity protocols during all field and lab activities to ensure personal and environmental safety.</li></ul></div>
</div><div><div>Qualifications and Experience</div>
<div><p><b><i>Essential:</i></b></p><ul><li>
Bachelor&rsquo;s degree in agriculture, Entomology, Plant Protection, or related field.</li><li>
3-5 years of experience in plant protection and production experiments and preferably with date palm.</li><li>
Familiarity with date palm cultivation and date palm pests, especially RPW.</li><li>
Understanding of experimental design and data collection methods.</li><li>
Good communication skills in Arabic and English</li></ul><p><b><i>
Desirable:</i></b></p><ul><li>
Valid driving license (preferred).</li><li>
Working experience with farmers in on-farm trials and other stakeholders</li></ul></div></div></div>
<br><div><div><div>Post Date</div>
<div>4 December 2025</div>
</div><div><div>Status</div>
<div>Open</div>
</div><div><div>Vacancy Type</div>
<div>Full-time</div>
</div><div><div>Closing Date</div>
<div>27 December 2025</div>
</div><div><div>Location</div>
<div>Dubai, UAE</div>
</div><div><div>Report To</div>
<div>Senior Scientist - Date Palm Management</div>
</div><div><div>Job Number</div>
<div>ICBA-DP-2025-004</div>
</div><div><div>Duration of the assignment</div>
<div>Until July 2028</div></div></div>

Plant Protection Technician

Precise Communications

<p>○ Framing use cases with business teams, validating data availability, and translating business requirements into robust pipelines and architectures.</p><p>○ Explaining analytical and AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.</p><p>○ Designing and implementing analytical solutions (including machine learning and GenAI) that create measurable business impact.</p><p>○ Conducting thorough data processing and data modeling, effectively applying analytical and AI solutions to achieve business outcomes.</p><p>○ Ensuring solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.</p><p>○ Visualizing and communicating outcomes for executive-level audiences.</p><ul><li>Intellectual curiosity and problem-solving skills, with the ability to structure and prioritize for maximum impact.</li></ul><ul><li>Experience managing more junior resources and allocating tasks</li></ul><p><b>Requirements</b></p><ul><li>A Master&rsquo;s degree in data science, machine learning, mathematics, computer science, software engineering, or related fields.</li></ul><ul><li>5+ years of hands-on experience in developing and implementing data-driven solutions within the telecom domain.</li></ul><ul><li>Deep professional understanding of customer analytics and related metrics within telco or another consumer facing firm.</li></ul><p>Job Type: Full-time</p><p>Pay: AED30,000.00 - AED35,000.00 per month</p>

Explore 2008+ Senior research scientist in Dubai this December. Find roles across top companies and apply now to boost your career.

2008 senior research scientist jobs IN Dubai

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist- Healthcare

Plant Protection Technician

Senior Data Scientist