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staff data scientist i eta

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Role
 
 
 
 As a Staff Data Scientist I &ndash; ETA, you will own the end-to-end ETA prediction systems for Careem&rsquo;s Food and Groceries verticals. This is a highly technical Individual Contributor role with full domain ownership across architecture, modeling strategy, experimentation, production deployment, and operational excellence.
 
 
 You will define the long-term vision for ETA systems in high-load, latency-sensitive marketplace environments. You will design and implement multi-stage stochastic pipelines that model preparation time, assignment delay, pickup time, travel time, batching, and pooling effects delivering reliable, calibrated predictions at scale. This role requires deep expertise in time-series forecasting, deep learning, and operations research combined with strong production experience in distributed and real-time systems. You will collaborate closely with Product, Engineering, Marketplace, and Operations leaders, ensuring ETA becomes a core competitive advantage in Careem&rsquo;s Everything App.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 ETA Vision &amp; Architecture Ownership
 </li>
 <li>
 Define and own the long-term technical vision for ETA systems across Food and Groceries.
 </li>
 <li>
 Architect scalable, multi-stage pipelines.
 </li>
 <li>
 Design probabilistic and stochastic modeling approaches with uncertainty calibration and reliability guarantees.
 </li>
 <li>
 Establish modeling standards and best practices for ETA across the organization.
 </li>
 <li>
 Advanced Modeling &amp; Algorithm Development
 </li>
 <li>
 Develop and deploy production-grade ML systems leveraging:
 </li>
 <ul>
 <li>
 Deep learning architectures
 </li>
 <li>
 Time-series forecasting
 </li>
 <li>
 Graph-based and routing-aware models
 </li>
 <li>
 Operations research techniques
 </li>
 </ul>
 <li>
 Build models robust to marketplace volatility and supply-demand shifts.
 </li>
 <li>
 Optimize for both point accuracy and distributional correctness (confidence intervals, tail control).
 </li>
 <li>
 Continuously improve system performance under high traffic and low-latency constraints.
 </li>
 <li>
 Production Systems &amp; Real-Time Inference
 </li>
 <li>
 Design and deploy scalable real-time inference pipelines.
 </li>
 <li>
 Ensure model reliability, monitoring, alerting, and graceful degradation under load.
 </li>
 <li>
 Collaborate with Data Platform and ML Ops teams to productionize models using Spark, Trino, Python, and distributed frameworks.
 </li>
 <li>
 Lead model lifecycle management, retraining strategies, and performance tracking in live environments.
 </li>
 <li>
 Experimentation &amp; Marketplace Impact
 </li>
 <li>
 Define clear evaluation frameworks aligned with business metrics (conversion, cancellations, fulfillment efficiency, customer trust).
 </li>
 <li>
 Design and run controlled experiments to measure ETA improvements and marketplace impact.
 </li>
 <li>
 Drive measurable improvements in operational efficiency and user experience through data-driven insights.
 </li>
 <li>
 Technical Leadership &amp; Cross-Team Influence
 </li>
 <li>
 Lead cross-team architectural discussions.
 </li>
 <li>
 Conduct design reviews and raise the technical bar for modeling quality and system robustness.
 </li>
 <li>
 Mentor senior data scientists and engineers in advanced ML and modeling techniques.
 </li>
 <li>
 Contribute to Careem&rsquo;s applied AI community through technical talks, documentation, and research initiatives.
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 8+ years of experience in Applied Machine Learning or Data Science, with significant experience building large-scale production systems.
 </li>
 <li>
 Advanced degree in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field.
 </li>
 <li>
 Proven expertise in:
 </li>
 <ul>
 <li>
 Time-series forecasting
 </li>
 <li>
 Deep learning
 </li>
 <li>
 Stochastic modeling
 </li>
 <li>
 Operations research and optimization
 </li>
 </ul>
 <li>
 Strong experience building and deploying high-load, low-latency ML systems.
 </li>
 <li>
 Hands-on proficiency in Python, Spark and ML frameworks.
 </li>
 <li>
 Experience with real-time inference systems and model monitoring in production.
 </li>
 <li>
 Strong understanding of experimentation, A/B testing, and causal inference.
 </li>
 <li>
 Demonstrated ability to drive architectural decisions across teams.
 </li>
 <li>
 Excellent communication skills and ability to translate complex modeling trade-offs into business impact.
 
 </li>
 </ul>
 What we&rsquo;ll provide you
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Staff Data Scientist I - ETA

<div><div>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires. 
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</div><div><h3 class="jobSectionHeader">
About the Role</h3>

As a Staff Data Scientist I &ndash; ETA, you will own the end-to-end ETA prediction systems for Careem&rsquo;s Food and Groceries verticals. This is a highly technical Individual Contributor role with full domain ownership across architecture, modeling strategy, experimentation, production deployment, and operational excellence.

You will define the long-term vision for ETA systems in high-load, latency-sensitive marketplace environments. You will design and implement multi-stage stochastic pipelines that model preparation time, assignment delay, pickup time, travel time, batching, and pooling effects delivering reliable, calibrated predictions at scale. This role requires deep expertise in time-series forecasting, deep learning, and operations research combined with strong production experience in distributed and real-time systems. You will collaborate closely with Product, Engineering, Marketplace, and Operations leaders, ensuring ETA becomes a core competitive advantage in Careem&rsquo;s Everything App.
<h3 class="jobSectionHeader">
What You'll Do</h3>
<h4 class="jobSectionHeader">1. ETA Vision &amp; Architecture Ownership</h4>
<ul><li>Define and own the long-term technical vision for ETA systems across Food and Groceries.</li>
<li>Architect scalable, multi-stage pipelines.</li>
<li>Design probabilistic and stochastic modeling approaches with uncertainty calibration and reliability guarantees.</li>
<li>Establish modeling standards and best practices for ETA across the organization.</li>
</ul><h4 class="jobSectionHeader">2. Advanced Modeling &amp; Algorithm Development</h4>
<ul><li>Develop and deploy production-grade ML systems leveraging:</li>
<ul><li>Deep learning architectures</li>
<li>Time-series forecasting</li>
<li>Graph-based and routing-aware models</li>
<li>Operations research techniques</li>
</ul><li>Build models robust to marketplace volatility and supply-demand shifts.</li>
<li>Optimize for both point accuracy and distributional correctness (confidence intervals, tail control).</li>
<li>Continuously improve system performance under high traffic and low-latency constraints.</li>
</ul><h4 class="jobSectionHeader">3. Production Systems &amp; Real-Time Inference</h4>
<ul><li>Design and deploy scalable real-time inference pipelines.</li>
<li>Ensure model reliability, monitoring, alerting, and graceful degradation under load.</li>
<li>Collaborate with Data Platform and ML Ops teams to productionize models using Spark, Trino, Python, and distributed frameworks.</li>
<li>Lead model lifecycle management, retraining strategies, and performance tracking in live environments.</li>
</ul><h4 class="jobSectionHeader">4. Experimentation &amp; Marketplace Impact</h4>
<ul><li>Define clear evaluation frameworks aligned with business metrics (conversion, cancellations, fulfillment efficiency, customer trust).</li>
<li>Design and run controlled experiments to measure ETA improvements and marketplace impact.</li>
<li>Drive measurable improvements in operational efficiency and user experience through data-driven insights.</li>
</ul><h4 class="jobSectionHeader">5. Technical Leadership &amp; Cross-Team Influence</h4>
<ul><li>Lead cross-team architectural discussions.</li>
<li>Conduct design reviews and raise the technical bar for modeling quality and system robustness.</li>
<li>Mentor senior data scientists and engineers in advanced ML and modeling techniques.</li>
Contribute to Careem&rsquo;s applied AI community through technical talks, documentation, and research initiatives. 
<li>
</li>
</ul><h3 class="jobSectionHeader">What You'll Need</h3>
<ul><li>8+ years of experience in Applied Machine Learning or Data Science, with significant experience building large-scale production systems.</li>
<li>Advanced degree in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field.</li>
<li>Proven expertise in:</li>
<ul><li>Time-series forecasting</li>
<li>Deep learning</li>
<li>Stochastic modeling</li>
<li>Operations research and optimization</li>
</ul><li>Strong experience building and deploying high-load, low-latency ML systems.</li>
<li>Hands-on proficiency in Python, Spark and ML frameworks.</li>
<li>Experience with real-time inference systems and model monitoring in production.</li>
<li>Strong understanding of experimentation, A/B testing, and causal inference.</li>
<li>Demonstrated ability to drive architectural decisions across teams.</li>
Excellent communication skills and ability to translate complex modeling trade-offs into business impact. 
<li>
</li>
</ul><h3 class="jobSectionHeader">What we&rsquo;ll provide you</h3>

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
<ul>
<li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div>

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Data Scientist &ndash; Credit Risk (Financial Services)
 
 
 
 Dubai (Hybrid)
 
 
 
 
 
 We&rsquo;re working with a leading financial services organisation in Dubai looking to hire a
 
 Data Scientist
 
 focused on
 
 credit risk modelling and portfolio analytics
 
 .
 
 
 
 
 
 
 
 
 💡
 
 What you&rsquo;ll be doing
 
 
 
 &bull; Build and enhance credit risk models across retail or corporate portfolios
 
 
 &bull; Analyse large financial datasets to identify risk trends, portfolio performance, and early warning signals
 
 
 &bull; Support IFRS9 provisioning, stress testing, and capital modelling initiatives
 
 
 &bull; Work with structured and alternative datasets to improve segmentation and predictive insight
 
 
 &bull; Monitor portfolio health and deliver dashboards/reporting to key stakeholders
 
 
 &bull; Collaborate with risk, underwriting, and product teams to translate insights into actionable credit strategies
 
 
 &bull; Contribute to documentation, governance, and regulatory compliance of models
 
 
 
 
 
 ✅
 
 What we&rsquo;re looking for
 
 
 
 &bull; Experience within banking, fintech, or lending environments in a Data Science / Credit Risk Analytics capacity
 
 
 &bull; Hands-on
 
 model development experience
 
 across credit risk or lending models (PD, LGD, EAD, application or behavioural scorecards)
 
 
 &bull; Strong statistical background (logistic regression, decision trees, GBM, segmentation, survival analysis)
 
 
 &bull; Proficiency with Python or SAS plus SQL for data extraction and analysis
 
 
 &bull; Good understanding of the credit lifecycle and model monitoring / recalibration concepts
 
 
 &bull; Familiarity with IFRS9, Basel, stress testing, or model governance frameworks is highly desirable
 
 
 &bull; Ability to communicate insights clearly to non-technical stakeholders
 
 
 
</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.
 
 
 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.
 
 
 
 Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany).
 
 
 
 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. Please note you must have experience working as a Data Scientist and this role is not for ML/AI engineers. Strong Data Scientist with SQL &amp; Python experience.
 
 
 
 Responsibilities
 
 
 
 <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
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 6+ years of experience in data science, data analytics, this role is not for an MI/AI engineer
 </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
 
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 
 <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
 
 
 
 
 </li>
 </ul>
 
 Why Work For Us?
 
 
 
 
 <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>
 </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>

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
 <li>
 The data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
 </li>
 <li>
 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
 </li>
 <li>
 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
 <li>
 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
 <li>
 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
 <li>
 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
 <ul>
 <li>
 Successful documentation of reusable code
 </li>
 </ul>
 
 
 Development and learning
 
 
 <ul>
 <li>
 Achieve personal technical development and learning goals
 </li>
 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
 </li>
 <li>
 Participates in and helps plan cultural initiatives for CoE
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
 <li>
 Experience with programming is a must; specifically experience in R or Python
 </li>
 <li>
 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Worked in agile environments with multiple stakeholders from the business
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
 <ul>
 <li>
 Practical and action oriented
 </li>
 <li>
 Compelling communicator
 </li>
 <li>
 Excellent stakeholder management
 </li>
 <li>
 Foster and promote entrepreneurial spirit and curiosity amongst team members
 </li>
 <li>
 Team player
 </li>
 <li>
 Quick learner
 </li>
 </ul>
 
 
</div>

X Three Advertisment L.L.C

Job DescriptionLogistics &amp; Export Operations Assistant(Export &ndash; Loading &ndash; Shipment Coordination &ndash; Dispatch Support)1. Job TitleLogistics &amp; Export Operations Assistant2. DepartmentLogistics Department3. Reports ToLogistics Supervisor / Logistics Manager4. Job PurposeTo support daily logistics operations by coordinating export shipments, organizing loading activities, preparing required documentation, and ensuring smooth delivery of goods to customers and logistics partners.5. Key ResponsibilitiesA. Export &amp; Shipping CoordinationAssist in arranging export shipments (sea, land, and air).Coordinate with freight forwarders, shipping lines, and customs clearing agents.Follow up on shipping schedules, ETD/ETA updates, and delivery timelines.B. Loading &amp; Warehouse SupportSupervise loading and unloading activities at the warehouse.Ensure proper handling of goods (solar panels, inverters, batteries, etc.).Verify quantities, pallet condition, and packaging before dispatch.Take photos of shipments before and after loading as per company policy.C. Documentation &amp; CompliancePrepare and support export documents such as:Commercial InvoicePacking ListDelivery NoteBill of Lading / Sea WaybillCertificate of Origin (if required)Ensure shipments comply with export procedures and internal SOPs.D. Coordination with Internal DepartmentsCoordinate with the Sales Team regarding customer orders and delivery requirements.Work closely with the Finance Department for shipping release and approval processes.Communicate with Procurement regarding stock availability and dispatch readiness.E. System Updates &amp; ReportingUpdate shipment status in the company ERP system (Odoo).Maintain proper filing and archiving of shipping and export documents.Report any delays, damages, or issues during loading or export operations.6. Required Skills &amp; QualificationsBasic experience in logistics, export, or warehouse operations.Knowledge of shipping and customs procedures is an advantage.Ability to work under pressure and meet deadlines.Strong communication and coordination skills.Familiarity with ERP systems (Odoo preferred).7. Key Performance Indicators (KPIs)On-time shipment preparation and dispatch.Accuracy of loading quantities and export documentation.Reduction of shipment damages or missing items.Effective coordination with freight and customs partners.Proper system updates and document archiving.8. Work LocationJebel Ali &ndash; Dubai, United Arab EmiratesJob Type: Full-timePay: From AED4,000.00 per month

Logistics Coordinator - Arabic Speaker

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 
 
 Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.
 
 
 We Are Looking For Talented Individuals With a Passion For Data Science, Statistics, Operations Research And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Comfortable in a client-facing role with the ambition to lead teams
 </li>
 <li>
 Likes to distill complex results or processes into simple, clear visualizations
 </li>
 <li>
 Explain sophisticated data science concepts in an understandable manner
 </li>
 <li>
 Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
 </li>
 <li>
 Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
 </li>
 <li>
 Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
 </li>
 <li>
 Have strong project management skills
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Data Scientist, United Arab Emirates - BCG X

Explore 1732+ Staff data scientist i eta in Dubai this March. Find roles across top companies and apply now to boost your career.

1732 staff data scientist i eta jobs In Dubai

Staff Data Scientist I - ETA

Staff Data Scientist I - ETA

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Logistics Coordinator - Arabic Speaker

Data Scientist, United Arab Emirates - BCG X