ABOUT THE TEAM

Anduril is seeking a Sr. Program Manager to be one of the first on the ground for the Maneuver Dominance team in Abu Dhabi, UAE. Omen is Anduril’s hover-to-cruise autonomous air vehicle (AAV) that packs the endurance, payload, and mission flexibility of much larger airplanes into a novel runway-independent Group 3 platform. Omen can operate from ship decks, beaches, or remote island clearings, providing true runway independence and freedom of maneuver across defense and civilian domains. Omen is the first tail-sitter aircraft with a mass-production contract, with an order of 50 systems representing a decisive investment that anchors production and accelerates the development of future systems.

ABOUT THE JOB

As the UAE Sr. Program Manager you will play a critical role in balancing innovation and practical execution across the Omen program. In this position, you will be deeply intertwined in a highly complex global program, driving strategic decision making, evaluating program milestones, and managing appropriate resourcing in country. You will be required to learn technical concepts and employ them quickly. You will be expected to use your technical knowledge in conjunction with your program management skills to lead cross-functional efforts and drive major program impact.

Deploying our Maneuver Dominance capabilities requires thorough understanding of mission requirements, thoughtful orchestration between Anduril teams and external stakeholders, and meticulous planning in the face of ambiguity. You thrive in the unknown and create order out of the chaos. You will be supporting and collaborating with the Omen lead Program Manager based in Costa Mesa, HQ across Air Vehicle, Mission Systems, Support Systems, and Production Systems.

WHAT YOU'LL DO

• Stakeholder Engagement: Build and maintain relationships with internal stakeholders, external clients, and industry partners to gather insights, align objectives, and secure buy-in for strategic initiatives. Act as the local liaison for UAE relationships, including subsystem suppliers, in-country test organizations, establishment of facilities, and coordination of customer engagements. Communicate internally the outputs of these efforts including cost forecasts, schedule, resource requirements, risks, and opportunities.
• Enable Cross Team Collaboration: Manage, unblock, and accelerate cross-team projects spanning multiple teams and initiatives. Collaborate closely with leads to ensure vision alignment and seamless execution through development and into production, including test operations.
• Technical Ownership: Drive technical outcomes through meticulous understanding of system performance, managing risks and opportunities with the Engineering leads, using metrics to derive insights into areas for improvement, quantifying the improvements made through investment in those areas, and maintaining a clear understanding of the state of the system that can be communicated to the customer.
• Execute Autonomously: Autonomously execute on broad and/or ambiguous requirements from external clients. Demonstrate high ownership on all pieces of work. Become a trusted partner to Anduril’s engineers.
• Shape Growth Opportunities: Support the drafting of technical proposals, ensuring that potential projects and scaling opportunities are accurately scoped, estimated, and aligned with the organization's capabilities and strategic goals.
• Strategic Planning & Execution: Translate strategic business goals into actionable project plans, setting clear milestones, and driving initiatives from conception through to successful completion, ensuring they deliver intended outcomes and add value to the business. Oversee the UAE allocation of personnel, budget, and other resources to ensure successful execution of these initiatives.

REQUIRED QUALIFICATIONS

• 8+ year of experience in a customer-facing program management role and/or systems engineering experience, preferably in the defense, national security, or aerospace domains
• Proven experience leading a technical team of peers to field hardware or software products to real operating environments through the product development lifecycle including test
• Proven experience leading a product and manufacturing team of peers through initial low rate production
• Solid technical aptitude and demonstrated individual contributions to technical designs, software development lifecycle, challenges and risks; ability to work closely and effectively with engineering teams
• Ability to work with internal and external stakeholders, across a wide range of technical comfort and at all levels
• Exceptional written and verbal communication skills
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Must have the ability to work through ambiguity, roll up your sleeves attitude, and drive forward progress
• Experience working with international suppliers and customers
• Must be able to obtain a Secret Clearance
• Must be able to travel up to 50% of the time

PREFERRED QUALIFICATIONS

• Bachelor of Science degree in engineering, computer science, or related field preferred
• Experience defining new facilities or manufacturing spaces
• Experience with tools like JIRA and Confluence

ABOUT THE TEAM

Anduril is seeking a Sr. Program Manager to be one of the first on the ground for the Maneuver Dominance team in Abu Dhabi, UAE. Omen is Anduril’s hover-to-cruise autonomous air vehicle (AAV) that packs the endurance, payload, and mission flexibility of much larger airplanes into a novel runway-independent Group 3 platform. Omen can operate from ship decks, beaches, or remote island clearings, providing true runway independence and freedom of maneuver across defense and civilian domains. Omen is the first tail-sitter aircraft with a mass-production contract, with an order of 50 systems representing a decisive investment that anchors production and accelerates the development of future systems.

ABOUT THE JOB

As the UAE Sr. Program Manager you will play a critical role in balancing innovation and practical execution across the Omen program. In this position, you will be deeply intertwined in a highly complex global program, driving strategic decision making, evaluating program milestones, and managing appropriate resourcing in country. You will be required to learn technical concepts and employ them quickly. You will be expected to use your technical knowledge in conjunction with your program management skills to lead cross-functional efforts and drive major program impact.

Deploying our Maneuver Dominance capabilities requires thorough understanding of mission requirements, thoughtful orchestration between Anduril teams and external stakeholders, and meticulous planning in the face of ambiguity. You thrive in the unknown and create order out of the chaos. You will be supporting and collaborating with the Omen lead Program Manager based in Costa Mesa, HQ across Air Vehicle, Mission Systems, Support Systems, and Production Systems.

WHAT YOU'LL DO

• Stakeholder Engagement: Build and maintain relationships with internal stakeholders, external clients, and industry partners to gather insights, align objectives, and secure buy-in for strategic initiatives. Act as the local liaison for UAE relationships, including subsystem suppliers, in-country test organizations, establishment of facilities, and coordination of customer engagements. Communicate internally the outputs of these efforts including cost forecasts, schedule, resource requirements, risks, and opportunities.
• Enable Cross Team Collaboration: Manage, unblock, and accelerate cross-team projects spanning multiple teams and initiatives. Collaborate closely with leads to ensure vision alignment and seamless execution through development and into production, including test operations.
• Technical Ownership: Drive technical outcomes through meticulous understanding of system performance, managing risks and opportunities with the Engineering leads, using metrics to derive insights into areas for improvement, quantifying the improvements made through investment in those areas, and maintaining a clear understanding of the state of the system that can be communicated to the customer.
• Execute Autonomously: Autonomously execute on broad and/or ambiguous requirements from external clients. Demonstrate high ownership on all pieces of work. Become a trusted partner to Anduril’s engineers.
• Shape Growth Opportunities: Support the drafting of technical proposals, ensuring that potential projects and scaling opportunities are accurately scoped, estimated, and aligned with the organization's capabilities and strategic goals.
• Strategic Planning & Execution: Translate strategic business goals into actionable project plans, setting clear milestones, and driving initiatives from conception through to successful completion, ensuring they deliver intended outcomes and add value to the business. Oversee the UAE allocation of personnel, budget, and other resources to ensure successful execution of these initiatives.

REQUIRED QUALIFICATIONS

• 8+ year of experience in a customer-facing program management role and/or systems engineering experience, preferably in the defense, national security, or aerospace domains
• Proven experience leading a technical team of peers to field hardware or software products to real operating environments through the product development lifecycle including test
• Proven experience leading a product and manufacturing team of peers through initial low rate production
• Solid technical aptitude and demonstrated individual contributions to technical designs, software development lifecycle, challenges and risks; ability to work closely and effectively with engineering teams
• Ability to work with internal and external stakeholders, across a wide range of technical comfort and at all levels
• Exceptional written and verbal communication skills
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Must have the ability to work through ambiguity, roll up your sleeves attitude, and drive forward progress
• Experience working with international suppliers and customers
• Must be able to obtain a Secret Clearance
• Must be able to travel up to 50% of the time

PREFERRED QUALIFICATIONS

• Bachelor of Science degree in engineering, computer science, or related field preferred
• Experience defining new facilities or manufacturing spaces
• Experience with tools like JIRA and Confluence

We are seeking a highly motivated quantitative researcher to join our Investment Management & Research group, focussing on MENA Equities. You will play a key role in researching, developing and operating our equities strategies in the region, partnering with portfolio managers, researchers, and technology to build and optimise the full strategy lifecycle – from research and back testing to live trading and risk management.

You will spend an initial period of approximately 6 months working in our London office before relocating to our office in Abu Dhabi.

Your responsibilities will include:

• Conduct in-depth research to identify alpha-generating strategies in MENA equity markets
• Research and back test systematic trading signals
• Collaborate closely with portfolio managers, researchers and technologists to develop trading infrastructure and strategies
• Monitor, analyse and report on strategy performance

What we are looking for: 

• 3+ years of experience working in a systematic equity trading environment
• Proficiency in data analysis and programming, preferably using Python and key libraries such as Pandas and NumPy
• Exceptional understanding of signal research and portfolio construction
• Strong communication skills with the ability to work in a distributed and collaborative research environment.

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.

Responsibilities:

• Primary owner of P&L in one or multiple areas of energy business
• Build and maintain fundamental and quantitative trading models
• Work with risk to ensure compliance with agreed upon risk management metrics and sizing
• Liase side by side with senior energy traders to share best practices / learnings where applicable
• Learn proprietary methodologies and trading systems that support an established trading business
• Grow existing trades and P&L while identifying and pursue new opportunities
• Further responsibilities may be driven by the individual’s interests and specific skills

Requirements:

• Energy trading experience required
• Self-starter with entrepreneurial spirit
• Able to learn quickly in a fast paced, high pressure environment
• Targeted ISO experience and knowledge of fundamental grid
• Detail oriented, organized, diligent
• Maintain composure and communicate clearly when under pressure
• Ability to succeed working as part of a diversified team
• Strong understanding of math, probability, and statistics
• High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus
• Advanced aptitude for problem solving and multitasking
• Proven track record with historical P&L preferred

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

The Role

We are seeking an exceptionally talented individual to join our Cross-Asset Derivatives Risk Management team as a Risk Manager. This role will focus on risk management and portfolio oversight of the firm’s Equity Derivatives, Macro EM and Delta One strategies, which include Equity vol, Fixed Income, Index Rebalance & Special situations strategies amongst others.

What you’ll do 

As a Risk Manager, you will:

• Report to the Head of Cross-Asset Derivatives Risk and partner daily with Portfolio Managers, Strats, and developers to monitor portfolios and design solutions that reduce concentration and stress risks.
• Build, implement and validate models that power both risk management and the investment process.
• Partner with our Technology organisation to enhance data infrastructure, automate risk-limit monitoring and streamline raw-data ingestion.
• Work with Portfolio Managers, providing regular and ad-hoc analytics on strategy performance, risk profiles and tail-risk scenarios.
• Collaborate with strategy COO, fellow risk managers and tech teams to build and maintain the modelling, pricing and analytics toolkit that powers our multi-strategy platform.

What you’ll bring
What you need:

• A minimum of 5 years’ relevant experience in a PM-facing role
• Strong knowledge of equity derivatives and portfolio risk management
• Knowledge of quantitative finance including risk-neutral options pricing and cross-sectional factor models
• Experience analyzing and modeling large data sets
• Strong coding skills in one or more languages such as R, Python or C++
• Experience working with relational databases such as MySQL
• Strong communication skills

We’d love if you had:

• Direct experience in Macro, Delta one and Equity Derivatives Strategy

Who we are

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

#LI-DK1

The Role

Exciting career opportunities are on the horizon! Schonfeld will open a wide range of roles across many offices and many departments this August for the Class of 2027. Whether your passion lies in investing, technology, data, operations, or corporate functions, you’ll find dynamic positions that let you make an immediate impact and grow alongside our world-class team. Keep an eye on our careers page and be ready to apply when postings go live—you won’t want to miss the chance to build your future with us.

Our Internship

Kick-start your career in finance with the Schonfeld Internship! Over the course of 12-16 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture 

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The annual base pay for these role is expected to be between $45,000 and $150,00 which will be prorated based on internship role,  start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education.

About the Team

The Public Policy & Government Affairs team at Careem is at the forefront of shaping the regulatory landscape for the digital economy in the Middle East. We act as the bridge between Careem’s innovative technologies and the governmental ecosystems in which we operate. Our team is dedicated to fostering collaborative relationships with regulators, policy-makers, and other concerned stakeholders to ensure that Careem’s platform services can grow sustainably while delivering maximum value to our customers, and while leaving a positive impact on the community

About the Role

As the Senior Manager, Public Policy & Government Affairs, you will be a leader within Careem Technologies, overseeing the public policy strategy for high-growth verticals including Pay, Food, and Quik, etc. Based in Dubai, you will navigate complex regulatory frameworks across multiple jurisdictions, ensuring that this multi-service platform continues to lead and to expand.

You are a strategic thinker who is plugged into industry trends and public sentiment. You will be responsible for translating business objectives into actionable policy positions and serving as a trusted advisor to both internal leadership and external government stakeholders.

What you'll do

• Strategy & Execution: Plan and execute comprehensive government relations, policy strategies, and corporate affairs campaigns across Careem Technologies' verticals (Pay, Food, Quik, etc.).
• Stakeholder Engagement: Engage at senior levels with a diverse set of government and non-government stakeholders to advocate for and implement win-win regulatory outcomes.
• Lead Interlocutor: Act as a primary interface for government interactions and represent the company with sector regulators, technology/investment entities, and key ministries.
• Risk & Prioritization: Prioritize public policy objectives, risks, and opportunities across Careem’s markets and ensure the allocation of appropriate resources in line with these priorities.
• Strategic Partnerships: Identify and execute strategic partnerships (government and non-government) that deliver long-term value to Careem’s technology ecosystem.
• Internal Advocacy: Drive internal communications and the creation of case studies or white papers to demonstrate the scope and impact of the function within the company.
• Trend Monitoring: Maintain an up-to-date mastery of industry trends and public knowledge to proactively manage the brand's regulatory reputation.

What you'll need

• Experience & Background: 8–10 years of progressive experience in the Middle East (predominantly UAE and Saudi Arabia) within a private company (policy/regulatory capacity), top-tier law firm, management consultancy, or a multilateral development organization.
• Language Mastery: Professional fluency in both Arabic and English is essential for this role.
• Analytical Ability: A high degree of rigor in developing quantitative and economic justifications to support Careem’s policy positions.
• Advocacy Skills: Outstanding ability to build and communicate complex positions in a concise and compelling way to high-level officials.
• Stakeholder Management: Proven experience interacting with government stakeholders and managing public policy teams across multiple geographies.
• Cultural Alignment: A commitment to Careem’s mission and alignment with its core values.

What we’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:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 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.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the Role

As a Staff Data Scientist I – ETA, you will own the end-to-end ETA prediction systems for Careem’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’s Everything App.

What You'll Do

1. ETA Vision & Architecture Ownership

• Define and own the long-term technical vision for ETA systems across Food and Groceries.
• Architect scalable, multi-stage pipelines.
• Design probabilistic and stochastic modeling approaches with uncertainty calibration and reliability guarantees.
• Establish modeling standards and best practices for ETA across the organization.

2. Advanced Modeling & Algorithm Development

• Develop and deploy production-grade ML systems leveraging:
• Deep learning architectures
• Time-series forecasting
• Graph-based and routing-aware models
• Operations research techniques
• Build models robust to marketplace volatility and supply-demand shifts.
• Optimize for both point accuracy and distributional correctness (confidence intervals, tail control).
• Continuously improve system performance under high traffic and low-latency constraints.

3. Production Systems & Real-Time Inference

• Design and deploy scalable real-time inference pipelines.
• Ensure model reliability, monitoring, alerting, and graceful degradation under load.
• Collaborate with Data Platform and ML Ops teams to productionize models using Spark, Trino, Python, and distributed frameworks.
• Lead model lifecycle management, retraining strategies, and performance tracking in live environments.

4. Experimentation & Marketplace Impact

• Define clear evaluation frameworks aligned with business metrics (conversion, cancellations, fulfillment efficiency, customer trust).
• Design and run controlled experiments to measure ETA improvements and marketplace impact.
• Drive measurable improvements in operational efficiency and user experience through data-driven insights.

5. Technical Leadership & Cross-Team Influence

• Lead cross-team architectural discussions.
• Conduct design reviews and raise the technical bar for modeling quality and system robustness.
• Mentor senior data scientists and engineers in advanced ML and modeling techniques.
• Contribute to Careem’s applied AI community through technical talks, documentation, and research initiatives.
  
  

What You'll Need

• 8+ years of experience in Applied Machine Learning or Data Science, with significant experience building large-scale production systems.
• Advanced degree in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field.
• Proven expertise in:
• Time-series forecasting
• Deep learning
• Stochastic modeling
• Operations research and optimization
• Strong experience building and deploying high-load, low-latency ML systems.
• Hands-on proficiency in Python, Spark and ML frameworks.
• Experience with real-time inference systems and model monitoring in production.
• Strong understanding of experimentation, A/B testing, and causal inference.
• Demonstrated ability to drive architectural decisions across teams.
• Excellent communication skills and ability to translate complex modeling trade-offs into business impact.
  
  

What we’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:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 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.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the Role

As a Staff Data Scientist I – Matching, you will own the end-to-end matching and dispatch architecture for Careem’s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.

This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.

What You'll Do

1. Matching & Dispatch Architecture Ownership

• Design and own the end-to-end matching and dispatch systems for Food & Groceries.
• Architect scalable assignment frameworks incorporating:
• Static and dynamic assignment
• Online matching under uncertainty
• Batch and pooling optimization
• Continuous re-optimization with dynamic events
• Establish robust optimization standards and best practices across the organization.

2. Multi-Objective Optimization & Algorithm Development

• Formulate and implement multi-objective optimization models balancing:
• Cost minimization
• SLA compliance
• Marketplace efficiency
• Develop and deploy:
• Min-cost flow and assignment models
• Graph-based optimization frameworks
• Custom solvers and OR-Tools based solutions
• Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
• Continuously refine matching quality under high-scale marketplace conditions.

3. Real-Time Systems & Production Delivery

• Build production-grade real-time matching systems using Python, Spark, and Trino.
• Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
• Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
• Lead performance monitoring, diagnostics, and system optimization.

4. Experimentation & Impact Measurement

• Define evaluation metrics aligned with marketplace and operational objectives.
• Design and run controlled experiments to quantify matching improvements.
• Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
• Ensure decisions translate into measurable improvements in efficiency and SLA performance.

What You'll Need

• 6–8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
• Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
• Strong expertise in:
• Optimization and assignment algorithms
• Graph modeling and min-cost flow problems
• Multi-objective optimization
• Dynamic and online decision systems
• Hands-on experience with OR-Tools or custom optimization solvers.
• Proficiency in Python, SQL, Spark, and distributed data systems.
• Experience building real-time or near-real-time decision systems.
• Strong understanding of experimentation and performance evaluation in marketplace systems.
• Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.

What we’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:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 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.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the team

The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region’s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.

What you'll do

• Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
• Drive exploratory analysis to understand the ecosystem, user behavior, and identify new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
• Help define and track the appropriate key metrics for specific projects. 
• Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
• Build and deploy retrieval augmented generation systems and other applications of large language models.

What you'll need

• 7-9 years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
• Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
• 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
• Strong problem-solving and coding skills.
• Solid knowledge of AB testing, classic ML, and DL
• Solid understanding of recommendations, ranking, and retrieval. 
• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
• Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.