operations manager

data analyst

data engineer

senior data analyst

senior data engineer

data science and iot manager

NAFFCO FZCO

Job Purpose:To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions. <h3>Key Responsibilities:</h3>· AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.· Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.· System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.· Model Training– Prepare data, select algorithms, and train models with high accuracy and scalability.· Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).· Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements. <h3>Qualifications & Skills:</h3>· Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.· Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).· Proven hands-on experience in ML model training and production deployment.· Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).· Experience in data engineering & API integration.· Familiarity with cloud platforms (AWS, Azure, GCP) and containerization(Docker, Kubernetes).<h3>Key Competencies:</h3>· End-to-end ownership of ML model lifecycle.· Strong analytical and problem-solving skills.· Ability to bridge technical solutions with business impact.

AI Module Development Engineer – IoT & Digital Platforms

Robinson & Co (Singapore) Pte Ltd

Overview Data Science Manager (Operations) at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction. What you will do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required skills to be successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About the team You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions. What equips you for the role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities include distribution, manufacturing, leasing and aftersales, and we are the regional representative of brands such as Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, pushing innovation, quality standards, and value-added service across our customer base. Our mission is to become the leader in mobility solutions by delivering world-class omni-channel experiences. We employ a 9,000-member team with growth opportunities across the career path. This is Al-Futtaim Automotive and we empower talent to move forward.<img src="https://www.jobg8.com/Tracking.aspx?n5tSDoUM%2b4YXVWZZgy8zIrp9EqF8t9BKj" width="0" height="0" />

Data Science Manager - Operations Al-Futtaim Automotive

Al-Futtaim Automotive

Overview Of The Role As a Data Science Manager (Operations) at Al-Futtaim Automotive, you will lead AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction. What You Will Do <ul><li>Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.</li><li>Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.</li><li>Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.</li><li>Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.</li><li>Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.</li></ul> Required Skills To Be Successful <ul><li>Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.</li><li>Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.</li><li>Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.</li><li>Familiarity with deep learning frameworks and pattern recognition for complex operational data.</li><li>Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.</li></ul> About The Team You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions. What Equips You For The Role <ul><li>Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.</li><li>7+ years of experience in data science, operations analytics, or AI-driven business transformation.</li><li>Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, communication, and project management skills.</li></ul> About Al-Futtaim Automotive A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world's most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward. Seniority level <ul><li>Not Applicable</li></ul> Employment type <ul><li>Full-time</li></ul> Job function <ul><li>Engineering and Information Technology</li></ul> Industries <ul><li>Retail</li></ul><img src="https://www.jobg8.com/Tracking.aspx?xFcAYD4BOV%2bpkZIvbqNP5Qm1WWCbyzziw" width="0" height="0" />

Data Science Manager - Customer Al-Futtaim Automotive Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day Overview of the role As a Data Science Manager (Customer) at Al-Futtaim Automotive, you will lead customer-centric AI and advanced analytics initiatives that drive marketing performance and enhance the customer experience. This role focuses on building predictive models, customer insights, and hyper-personalization solutions that create measurable business impact. What you will do <ul> <li>Build and deploy predictive models such as lead scoring, precision marketing, marketing attribution, customer segmentation, and hyper-personalization.</li> <li>Standardize and optimize marketing performance KPIs across brands using advanced statistical methods and data visualization.</li> <li>Deliver actionable customer insights through cohort analysis, customer lifetime value modelling, churn prediction, and campaign performance analysis.</li> <li>Collaborate with stakeholders to identify, define, and prioritize high-impact use cases supported by data-driven business cases.</li> <li>Lead and mentor a team of data scientists to deliver scalable AI/ML solutions that directly improve marketing ROI and customer experience.</li> </ul> Required skills to be successful <ul> <li>Advanced knowledge of ensemble methods, gradient boosting, uplift modelling, and multi-arm bandits for marketing optimization.</li> <li>Expertise in attribution models (Markov chains, Shapley values), clustering techniques, recommender systems, and hyper-personalization.</li> <li>Proficiency in NLP, reinforcement learning, cohort analysis, lifetime value modelling, and churn prediction.</li> <li>Strong problem-solving skills and the ability to translate complex data science solutions into business value.</li> <li>Excellent stakeholder management, communication, and project management capabilities.</li> </ul> About the team You will report to the Head of Customer Data Science and lead a small team comprising a Data Science Manager and Data Scientists. The team plays a pivotal role within the Finance Department at Al-Futtaim Automotive, driving innovation in customer analytics and marketing science. What equips you for the role <ul> <li>Bachelor's, Master's, or PhD in Marketing Analytics, Computer Science, or a related field.</li> <li>7+ years of experience in customer analytics, data science, and AI/ML solutions.</li> <li>Hands-on expertise with machine learning techniques including CNNs, RNNs, LSTMs, time series forecasting, survival analysis, graph neural networks, Bayesian and causal modelling.</li> <li>Skilled in Python, SQL, Databricks, and modern ML libraries (scikit-learn, TensorFlow, PyTorch, Prophet, ARIMA/SARIMA).</li> <li>Proficient in CRM systems, marketing analytics platforms, and MLOps practices.</li> <li>Experience with LLMs, RAGs, and modern AI-based recommendation systems.</li> <li>Strong leadership skills to manage and mentor a data science team.</li> </ul> About Al-Futtaim Automotive A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world's most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.<img src="https://www.jobg8.com/Tracking.aspx?vN7mL9eUiCTAVPVkd1LrH5yEwFYBmkadi" width="0" height="0" />

Data Science Manager - Customer Al-Futtaim Automotive

Al-Futtaim

Job Requisition ID : 172222 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day Overview of the role As a Data Science Manager(Finance) at Al-Futtaim Automotive, you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision-making. This role focuses on advanced predictive modelling, financial forecasting, and portfolio optimization to create measurable impact across the organization What you will do <ul><li>Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.</li><li>Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.</li><li>Generate financial insights through time series analysis, portfolio optimization, survival analysis, and risk modelling.</li><li>Collaborate with finance and risk teams to identify and prioritize high-potential data-driven use cases.</li><li>Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models.</li></ul> Required skills to be successful <ul><li>Advanced expertise in time series forecasting, regression, logistic regression, and random forests.</li><li>Strong skills in survival analysis, neural networks, reinforcement learning, and genetic algorithms.</li><li>Deep knowledge of portfolio optimization, risk modelling, and causal inference techniques.</li><li>Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.</li><li>Strong understanding of financial regulations and their impact on AI / ML model development.</li><li>Excellent stakeholder management and ability to translate complex financial models into actionable insights.</li></ul> About the team You will report to the Head of Financial Data Science and lead a team of Data Scientists and a Data Science Manager. The team operates within the Finance Department, playing a critical role in enhancing financial planning, risk management, and profitability through advanced analytics. What equips you for the role <ul><li>Bachelor's, Master's, or PhD in Financial Analytics, Computer Science, or related field.</li><li>7+ years of experience in financial analytics, data science, and machine learning.</li><li>Hands-on expertise in advanced statistics, optimization, causal and Bayesian modelling, time series forecasting, Monte Carlo simulations, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA / SARIMA, Prophet).</li><li>Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, problem-solving, and communication skills to manage teams and deliver business impact.</li></ul><img src="https://www.jobg8.com/Tracking.aspx?fWvNQADmqktTLpH0zbtK2J8mKNLd8eXOb" width="0" height="0" />

Data Science Manager - Finance Al-Futtaim Automotive

Data Science Manager - Finance Al-Futtaim Automotive Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day Overview of the role As a Data Science Manager(Finance) at Al-Futtaim Automotive, you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision-making. This role focuses on advanced predictive modelling, financial forecasting, and portfolio optimization to create measurable impact across the organization What you will do <ul><li>Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.</li><li>Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.</li><li>Generate financial insights through time series analysis, portfolio optimization, survival analysis, and risk modelling.</li><li>Collaborate with finance and risk teams to identify and prioritize high-potential data-driven use cases.</li><li>Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models</li></ul> Required skills to be successful <ul><li>Advanced expertise in time series forecasting, regression, logistic regression, and random forests.</li><li>Strong skills in survival analysis, neural networks, reinforcement learning, and genetic algorithms.</li><li>Deep knowledge of portfolio optimization, risk modelling, and causal inference techniques.</li><li>Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.</li><li>Strong understanding of financial regulations and their impact on AI/ML model development.</li><li>Excellent stakeholder management and ability to translate complex financial models into actionable insights</li></ul> About the team You will report to the Head of Financial Data Science and lead a team of Data Scientists and a Data Science Manager. The team operates within the Finance Department, playing a critical role in enhancing financial planning, risk management, and profitability through advanced analytics What equips you for the role <ul><li>Bachelor's, Master's, or PhD in Financial Analytics, Computer Science, or related field.</li><li>7+ years of experience in financial analytics, data science, and machine learning.</li><li>Hands-on expertise in advanced statistics, optimization, causal and Bayesian modelling, time series forecasting, Monte Carlo simulations, graph neural networks, and recommender systems.</li><li>Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).</li><li>Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).</li><li>Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Strong leadership, problem-solving, and communication skills to manage teams and deliver business impact.</li></ul> About Al-Futtaim Automotive About Al-Futtaim Automotive: A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world's most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.<img src="https://www.jobg8.com/Tracking.aspx?4kaojKT%2bAE4nS%2f83d22VKe6XDcHrdtcWn" width="0" height="0" />

Visa

Principle Responsibilities & Key Results Area <ul> <li>Identify innovation opportunities around data and datarelated processes that will help our clients implement factbased decisioning processes within their cards and payments program</li> <li>Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategies cocreate deploy and reap the benefits of datadriven solutions.</li> <li>Work with regional and global Data Science teams to develop highquality analytic products and solutions that promote Visas growth in the region.</li> <li>Focus on creating scalable framework for Gen AI ML models</li> <li>Keep Visa at the forefront of technological advancement in Data Science by introducing cuttingedge tools and techniques for generating business insights</li> <li>Develop nextgeneration analytic methods where existing tools and techniques are inadequate to address business challenges</li> <li>Drive commercialization of existing scalable assets (models dashboards solutions).</li> <li>Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs</li> <li>Develop share and build global best practices and knowledge management within the team</li> <li>Socialize innovative ideas and approaches that are scalable and have market demand</li> <li>Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained</li> <li>Work closely with Data Engineering DS teams and vendors communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria including expected quality and performance.</li> <li>Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management Digital Risk Merchant & Acquiring Commercial) understanding the market landscape and demand identification of potential opportunities for scalable solutions collecting business requirements and supporting in market enablement and GotoMarket.</li> <li>Work with Global Practice Leads to incorporate best practice source analytical or other services and leverage global consulting solutions.</li> <li>Deliver and manage a network of external Vendor or agency partners.</li> </ul> Maintain excellent relationship with vendor team at large supervising deliveries as needed. Assist in selecting recruiting inducting and onboarding of vendors Work with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities. Manage the project budget and resources to perform all required duties. Liaise with VISA functional teams Finance Audit Legal Tax Sourcing to define and implement processes to optimize the daily engagement of vendors and the relationships with clients. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications : Key Competencies <ul> <li>Minimum of 10 years of expertise in applying Machine Learning solutions to business problems model development and production experience required</li> <li>Experience of using GenAIto solve business challenges</li> <li>Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering</li> <li>Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries</li> <li>Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded product</li> <li>Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems</li> <li>Proven track record in commercializing analytical solutions.</li> <li>Experience planning organizing and managing multiple large projects with diverse crossfunctional teams including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring datadriven results to various audience levels</li> <li>Proven ability to deliver results within committed scope timeline and budget</li> <li>Very strong people / project management skills and experience</li> </ul> Technical Expertise <ul> <li>Expertise in distributed computing environments / big data platforms (Hadoop Elasticsearch etc.) as well as common database systems and value stores (SQL Hive HBase etc.)</li> <li>Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupyter Notebooks).</li> <li>Strong programming ability in different programming languages such as Python R Scala and SQL</li> <li>Experience in drafting solution architecture frameworks that rely on APIs and microservices</li> <li>Proficient in some or all of the following techniques : Linear & Logistic Regression Decision Trees Random Forests KNearest Neighbors Markov Chain Monte Carlo Gibbs Sampling Evolutionary Algorithms (e.g. Genetic Algorithms Genetic Programming) Support Vector Machines Neural Networks etc.</li> <li>Expert knowledge of advanced data mining and statistical modeling techniques including Predictive modeling (e.g. binomial and multinomial regression ANOVA) Classification techniques (e.g. Clustering Principal Component Analysis factor analysis) Decision Tree techniques (e.g. CART CHAID)</li> </ul> Leadership Competencies <ul> <li>Demonstrates integrity maturity and a constructive approach to business challenges</li> <li>Serves as a role model for the organization by implementing core Visa Values</li> <li>Strives for excellence and extraordinary results</li> <li>Uses sound insights and judgments to make informed decisions in line with business strategy and needs</li> <li>Able to allocate tasks and resources across multiple lines of businesses and geographies</li> <li>Able to influence senior management both within and outside Data Science</li> <li>Successfully persuading internal stakeholders to commit to bestinclass solutions when required</li> <li>Leverages change management leadership as required</li> <li>Fluency in English is mandatory.</li> </ul> Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.<img src="https://www.jobg8.com/Tracking.aspx?HLCynLjJI3vc%2bhI1RAhNM7f%2bW0taEUATv" width="0" height="0" />

Sr. Manager Data Science (Dubai only)

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AI Module Development Engineer – IoT & Digital Platforms

Data Science Manager - Operations Al-Futtaim Automotive

Data Science Manager - Operations Al-Futtaim Automotive

Data Science Manager - Customer Al-Futtaim Automotive

Data Science Manager - Finance Al-Futtaim Automotive

Data Science Manager - Finance Al-Futtaim Automotive

Sr. Manager Data Science (Dubai only)