data science manager

Envision Employment Solutions

<p><b>Envision Employment Solutions</b> is currently hiring a <b>Data Science Manager</b> on behalf of one of our partners, a leader in the retail Motor Vehicles field.</p> Job Summary <p>As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.</p> Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a <b>PLUS</b>.</li> </ul>

Data Science Manager

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Cargo Data Science Manager
</div></div><div><div>Ref #
</div><div>228774
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Cargo &amp; Airport Operations
</div></div><div><div><ul><li>Closing date: 09-Dec-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p>The air cargo industry is entering an accelerated phase of change and transformation. From digitalizing the end-to-end value chain, to fortifying a true e-commerce experience, to the launch of digital freight marketplaces, and much more. As the world&rsquo;s largest global air cargo carrier, Qatar Airways Cargo is leading this change.</p><p>
To support our vision, we are looking for talents &ndash; the bold, the imaginative and the change-maker. All of who will support Qatar Airways Cargo&rsquo;s position as a true leader in the air freight industry. If you want to make an impact, to grow your experience and to challenge your comfort zone, then join us at Qatar Airways Cargo and be part of our passionate team.</p><p>
As the business expands, we are pleased to announce an incredibly exciting opportunity to be part of Qatar Airways Cargo&rsquo;s Data Analytics Team in Doha as Cargo Data Science Manager.</p><p><b>
About the role</b></p><p>
In this role, you will be required to spearhead the development and implementation of advanced cargo analytics and optimization strategies. This role is essential in fostering a data-driven decision-making culture within the organization, focusing on critical areas such as cargo pricing strategy, accurate capacity forecasting, efficient route planning, enhanced operational efficiency, and improved customer experience.</p><p>
In addition, engage in hands-on data science projects, utilizing statistical analysis and machine learning techniques, while also providing leadership to a team of data professionals.</p><p>
As part of your role, your responsibilities will be inclusive of, but not limited to the following:</p><ul><li>Lead and mentor a team of data scientists and analysts to design, develop, and implement advanced and valuable analytics solutions across the organization</li><li>Transform and Elevate the Data Culture of the organization from Descriptive Analytics to Predictive and Prescriptive Analytics through the implementation of predictive models through AI/ML</li><li>Lead the development of AI use cases across the organization through the orchestration of workshop aimed ai collecting use cases across the departments</li><li>Utilize AI/ML to improve load factor, turnaround times, and fuel efficiency</li><li>Work with cross-functional teams to understand business needs and identify opportunities to leverage data to drive business decisions</li><li>Effective Project Management by coordinating and communicating with all stakeholders involved in the usage of the visualization tool and making sure the tools developed satisfy stakeholders&rsquo; needs</li><li>Develop and maintain relationships with external data providers and partners</li><li>Monitor industry trends and best practices to ensure the team is up to date with the latest analytical and data management techniques</li><li>Look at state-of-the-art tools used in the industry and best practices in order to Innovate, Improve and Advance analytical capabilities within the organization.</li><li>Work closely with the Technical Team to ensure optimal performance of the analytical platform. Improve existing processes within the team and the organization which involves data and analytics tools</li><li>Oversee the implementation of ETL processes, data models, and data pipelines to ensure data is clean, accurate, and available.</li></ul><p><b><br>
Be part of an extraordinary story</b></p><p>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p><p>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p><p>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you</b></p><ul><li>Bachelor&rsquo;s degree or equivalent with at least 4 years of job-related experience.</li><li>Programming &amp; Analytics: Proficient in Python (Pandas, NumPy, scikit-learn, XGBoost, PyTorch/TensorFlow).</li><li>Advanced SQL for querying complex relational databases. Experience in R or Scala is a plus</li><li>Machine Learning &amp; Modeling: Hands-on experience building and deploying predictive models (e.g., demand forecasting, dynamic pricing, load optimization).</li><li>Familiarity with time series analysis, Classification / regression, and unsupervised learning (e.g., clustering for shipment segmentation).</li><li>Data Engineering: Working knowledge of data pipelines using tools like Airflow, dbt, or Apache Spark. Experience managing or working with ETL processes, data lakes, and cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).</li><li>Visualization &amp; Reporting: Strong proficiency in Power BI and Tableau for executive dashboards. Comfortable translating data insights into clear business presentations</li><li>Cloud &amp; DevOps: Experience deploying models or data apps in cloud environments (AWS/GCP/Azure). Familiarity with Docker, Kubernetes, and CI/CD pipelines for ML Ops</li><li>Experience in competitive, strategic business and/or financial assessment, trending and forecasting.</li><li>Experience in a Network Strategy, Performance or Planning Environment.</li><li>Prior experience within the Airline/Travel industry background or related field is an added advantage.</li></ul><p><b>
About Qatar Airways Group</b><br>
<br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.</p><p>
So, whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries and be part of a truly global community.</p><p><b>
How to apply</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=228774</div></div></div></div></div></div></div></div>

Cargo Data Science Manager

Visa

<div><b>Company Description</b><p><br>
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.</p><p>
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.</p><b><br>
Job Description</b><br>
<ul><li>
Build long term relationship with large GCC clients, including client business and Data Science teams</li><li>
Manage full spectrum of VCA project journey, starting from sales, proposal building, pricing, project kickoff, execution, story building to post project implementation support</li><li>
Liaise with VCA leadership and participate in proposal approval meetings to get internal project approvals</li><li>
Develop and strengthen GCC Data Science risk capabilities and develop new risk solutions for the clients</li><li>
Responsible for developing analytics and model-based solutions for Visa&rsquo;s issuer, acquirer, merchant, fintech clients addressing challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, cross-channel marketing implementation, risk, fraud, and more general portfolio optimization programs</li><li>
With focus on building efficiency, find opportunities to automate the project pipeline of recurring projects using latest Data Science techniques</li><li>
Review, direct, guide, and inspire the analytical work of junior members in the team</li><li>
Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency</li><li>
Manage and grow talent within the team</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 Visa&rsquo;s highly regarded market standing is maintained</li></ul><p>
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.</p><b><br>
Qualifications</b><p><br>
Minimum of 8+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required<br>
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering<br>
Experience working in one or more of the Card &amp; Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries<br>
Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product<br>
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems<br>
Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation<br>
Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels<br>
Proven ability to deliver results within committed scope, timeline and budget<br>
Very strong people/project management skills and experience<br>
Ability to travel within GCC on short notice<br>
<br>
Technical Expertise:<br>
Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)<br>
Familiarity with workings of Large Language models and ability to develop agents<br>
Capability to develop front end UI/UX would be plus<br>
Strong programming ability in different programming languages such as Python, Spark, R, Scala, Java, Matlab, C++, and SQL<br>
Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services<br>
Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc.<br>
Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro<br>
Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.<br>
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)</p><b><br>
Additional Information</b><p><br>
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.</p></div>

GCC Data Science Manager

TALENTMATE

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
 <br/>
 <br/>
 Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
 <br/>
 <br/>
 <strong>
  <strong>
   Job Description
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Build long term relationship with large GCC clients, including client business and Data Science teams
  </li>
  <li>
   Manage full spectrum of VCA project journey, starting from sales, proposal building, pricing, project kickoff, execution, story building to post project implementation support
  </li>
  <li>
   Liaise with VCA leadership and participate in proposal approval meetings to get internal project approvals
  </li>
  <li>
   Develop and strengthen GCC Data Science risk capabilities and develop new risk solutions for the clients
  </li>
  <li>
   Responsible for developing analytics and model-based solutions for Visa&rsquo;s issuer, acquirer, merchant, fintech clients addressing challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, cross-channel marketing implementation, risk, fraud, and more general portfolio optimization programs
  </li>
  <li>
   With focus on building efficiency, find opportunities to automate the project pipeline of recurring projects using latest Data Science techniques
  </li>
  <li>
   Review, direct, guide, and inspire the analytical work of junior members in the team
  </li>
  <li>
   Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based
  </li>
  <li>
   Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region
  </li>
  <li>
   Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights
  </li>
  <li>
   Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges
  </li>
  <li>
   Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs
  </li>
  <li>
   Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency
  </li>
  <li>
   Manage and grow talent within the team
  </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 Visa&rsquo;s highly regarded market standing is maintained
   <br/>
   <br/>
  </li>
 </ul>
 This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
 <br/>
 <br/>
 <strong>
  <strong>
   Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 Minimum of 8+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required
 <br/>
 <br/>
 Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering
 <br/>
 <br/>
 Experience working in one or more of the Card &amp; Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries
 <br/>
 <br/>
 Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product
 <br/>
 <br/>
 Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems
 <br/>
 <br/>
 Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation
 <br/>
 <br/>
 Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels
 <br/>
 <br/>
 Proven ability to deliver results within committed scope, timeline and budget
 <br/>
 <br/>
 <strong>
  Very Strong People/project Management Skills And Experience
  <br/>
  <br/>
 </strong>
 Ability to travel within GCC on short notice
 <br/>
 <br/>
 <strong>
  Technical Expertise:
  <br/>
  <br/>
 </strong>
 Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
 <br/>
 <br/>
 Familiarity with workings of Large Language models and ability to develop agents
 <br/>
 <br/>
 Capability to develop front end UI/UX would be plus
 <br/>
 <br/>
 Strong programming ability in different programming languages such as Python, Spark, R, Scala, Java, Matlab, C++, and SQL
 <br/>
 <br/>
 Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services
 <br/>
 <br/>
 Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc.
 <br/>
 <br/>
 Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
 <br/>
 <br/>
 Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
 <br/>
 <br/>
 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)
 <br/>
 <br/>
 <strong>
  <strong>
   Additional Information
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 Job Details
 <br/>
 <br/>
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://corporate.visa.com/en/careers.html Job Function: Others Company Industry/
 <br/>
 <br/>
 Sector: IT Services and IT Consulting
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 <br/>
 <br/>
 Report
 <br/>
 <br/>
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>


<div><b>Company Description</b><p><br>
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.</p><p>
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.</p><b><br>
Job Description</b><br>
<ul><li>
Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based 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, co-create, deploy, and reap the benefits of data-driven solutions.</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region.</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Review, direct, guide, and inspire the analytical work of junior members in the team</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency.</li><li>
Manage and grow talent within the team.</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 Visa&rsquo;s highly regarded market standing is maintained</li></ul><p>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.</p><b><br>
Qualifications</b><p><br>
Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required<br>
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering<br>
Experience working in one or more of the Card &amp; Payments markets around the globe with specific responsibilities in payments, retail banking, or retail merchant industries<br>
Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product<br>
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems<br>
Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels<br>
Proven ability to deliver results within committed scope, timeline, and budget<br>
Very strong people/project management skills and experience<br>
Ability to travel within MENA on short notice<br>
Technical Expertise<br>
Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.).<br>
Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE&rsquo;s (Jupyter Notebooks) proficiency in SAS technologies and techniques<br>
Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL. Working knowledge of GENAI and Agentic AI tools and algorithms<br>
Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.<br>
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)</p><b><br>
Additional Information</b><p><br>
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.</p></div>

Udemy

<div>
 <strong>
  Join Udemy. Help
 </strong>
 <strong>
  define
 </strong>
 <strong>
  the future of learning.
  <br/>
  <br/>
 </strong>
 Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It&rsquo;s personalized, practical, and focused on real-world impact.
 <br/>
 <br/>
 Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they&rsquo;re picking up something new or leveling up to stay ahead.
 <br/>
 <br/>
 Over 80 million learners and 17,000 businesses already learn with Udemy. If you&rsquo;re excited by change, energized by learning, and ready to have a real impact, you&rsquo;ll feel right at home.
 <br/>
 <br/>
 <strong>
  Learn More About Us On Our Company Page.
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Where we work
   <br/>
   <br/>
  </strong>
 </strong>
 Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and T&uuml;rkiye.
 <em>
  This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays
 </em>
 .
 <br/>
 <br/>
 <strong>
  About Your Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Continuous Learning and Growth: Being able to follow up on all the progress in the AI and ML field, translating them into strategic capabilities for you and your teams is critical for this role. Truly understanding what these algorithms are capable of and making sure you set your team for success.
  </li>
  <li>
   Leadership: You design and build an environment that balances outcomes and innovation, while keeping a collaborative yet competitive team culture. You lead with humility and clarity. You build an environment where individuals feel supported, heard, and proud of what they build together. You understand how to motivate and empower your team to do their best work.
  </li>
  <li>
   Data Driven: You rely on data driven processes to make sure what the team is building is delivering the intended value. Fueled by an iterative process of A/B experiments and learning, you provide a clear process that balances big bets and iterative improvements leading to measurable outcomes.
  </li>
  <li>
   Decision Making: You are able to gather and communicate effectively all data, cross functional partner inputs, company direction to facilitate effective brainstorming sessions, help the team to set direction and progress confidently.
  </li>
  <li>
   Effective Communication: You explain the complex domain of ML/AI Algorithms with intuitive and focused simplicity, while clearly communicating limitations and opportunities effectively.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 As a Data Scientist manager in the Catalog Search team, you will be responsible for managing a team of data scientists building AI/ML driven algorithms for the discovery of learning experiences with a primary focus on search. You will drive the strategy for the team to explore new strategies to use LLMs, semantic embedding models as well as learning engagement analysis of users (behavioral data) and incorporate these to turn to highly personalized learning opportunities for learners.
 <br/>
 <br/>
 <strong>
  <strong>
   What you&rsquo;ll be doing
  </strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with product managers, data scientists, engineers and other stakeholders to build data products and set direction as well as drive the execution.
  </li>
  <li>
   Build and maintain a high performance team, by recruiting, hiring and planning career development of a team of data scientists/ML engineers
  </li>
  <li>
   Provide hands-on technical guidance and career mentorship for team members
  </li>
  <li>
   Maintain high-quality standards, effective communication processes, and best practices in engineering and data science
  </li>
  <li>
   Research or prototype solutions and contribute to the codebase as needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What you&rsquo;ll have
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   8+ years of experience as a software engineer, researcher or data scientist
  </li>
  <li>
   3+ years of management experience of teams building data driven solutions.
  </li>
  <li>
   Appetite and relevant background for learning state-of-the-art AI based search solutions
  </li>
  <li>
   Strong communication skills both written and verbal
  </li>
  <li>
   Strong coding skills with SQL and 1+ programming language (e.g. Java, Python)
  </li>
  <li>
   Familiarity with agile practices (e.g., Scrum)
  </li>
  <li>
   Ability to communicate effectively with non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred But Not Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands on experience with Enterprise search systems (e.g. Elasticsearch, Solr).
  </li>
  <li>
   Experience with big data ecosystems such as Spark, Hadoop and Hive.
  </li>
  <li>
   Hands-on experience with training and fine-tuning semantic embeddings and/or LLMs.
   <br/>
   <br/>
  </li>
 </ul>
 application deadline 18 November 2025
 <br/>
 <br/>
 <strong>
  Why work here?
  <br/>
  <br/>
 </strong>
 <strong>
  You&rsquo;ll grow here.
  <br/>
  <br/>
 </strong>
 Learning is part of the job. You&rsquo;ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
 <br/>
 <br/>
 <strong>
  AI is real here.
  <br/>
  <br/>
 </strong>
 We use it in the way we learn and the way we work. You&rsquo;ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
 <br/>
 <br/>
 <strong>
  You&rsquo;ll own your work.
  <br/>
  <br/>
 </strong>
 We trust people to lead, make decisions, and follow through. You don&rsquo;t need to wait for permission or layers of approval to have an impact.
 <br/>
 <br/>
 <strong>
  You&rsquo;ll Build With Others.
  <br/>
  <br/>
 </strong>
 We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
 <br/>
 <br/>
 <strong>
  You&rsquo;ll see your impact.
  <br/>
  <br/>
 </strong>
 What you build helps people grow their skills, change their careers, or find a path forward. You&rsquo;ve got the experience, why not use it to help others gain theirs?
 <br/>
 <br/>
 <em>
  Bring your curiosity. We&rsquo;ll bring the platform and the support. Let&rsquo;s
  <strong>
   LEARN
  </strong>
  together.
  <br/>
  <br/>
 </em>
 <strong>
  Our Benefits Start With U
  <br/>
  <br/>
 </strong>
 Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits &amp; US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.
 <br/>
 <br/>
 <em>
  Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
  <br/>
  <br/>
 </em>
 <em>
  At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   Information regarding data privacy is available within the Udemy Careers Privacy Notice.
  </strong>
 </em>
</div>


Senior Data Science Manager

ZS Associates

<div>:
<p><b>
ZS</b> is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by <b>bringing together data, science, technology</b> and <b>human ingenuity</b> to deliver better outcomes for all. Here you&rsquo;ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a <b>client-first mentality</b> to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.</p><br>
<div></div>
 :
<div><b>
Data Science Manager &ndash; Supply Chain &amp; Manufacturing</b></div><p></p><p><b><br>
About Advanced Data Science (ADS)</b>: ZS&rsquo;s Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech &amp; Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patientlevel records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches.</p><p><br>
</p><p><b>Data Science Managers </b>(DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques.<br>
<br>
<b>What You&rsquo;ll Do:</b></p><ul><li>
Drive client engagements and lead end-to-end development &amp; deployment of AI/ML/data science solutions as per client requirement.</li><li>
Lead large scale client delivery engagements in AI projects for the Supply Chain &amp; Manufacturing Industry</li></ul><ul><li>
Architect and develop predictive models, optimization algorithms, and statistical analyses.</li><li>
Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects.</li><li>
Drive business and strategy development through project delivery and client relationship management;</li><li>
Develop/sell new business opportunities</li><li>
Direct multiple projects simultaneously, honing analytic and project management skills;</li><li>
Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;</li><li>
Motivate, coach and serve as a role model for project team members</li><li>
Provide thought leadership and innovation through research and publication.</li></ul><p></p><p><b><br>
What You&rsquo;ll Bring:</b></p><ul><li>
PhD degree in Computer Science, Statistics or related discipline;</li><li>
8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute.</li></ul><ul><li>
Hands-on experience in applying advance analytics leveraging techniques of AI, ML to Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics</li><li>
Experience leading a team of data scientists, data engineers, domain experts, LLM engineers, DevOps across multiple projects</li></ul><ul><li>
Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.);</li><li>
Relevant programming background (e.g. Python/R);</li><li>
Proven track record of business development</li><li>
Agile project planning and project management experience;
</li><li>Team management and skill development experience;
</li><li>Relevant domain knowledge preferred; (healthcare, pharma);</li><li>
Excellent oral and written communication skills;</li><li>
Strong attention to detail, with a research-focused mindset;</li><li>
Excellent critical thinking and problem solving skills;</li></ul><br>
<p></p>
 :<div></div><div><b><br>
Perks &amp; Benefits:</b></div><div>
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.<br>
</div><div></div><div>We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.</div><div></div><div><b><br>
Travel:</b></div><div>
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.</div><div></div><div><b><br>
Considering applying?</b></div><div>
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems&mdash;the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.</div><div></div><div><br>
If you&rsquo;re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.<br>
<br>
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.<br>
<br>
To complete your application:<br>
Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.<br>
<br>
NO AGENCY CALLS, PLEASE.<br>
<br>
Find Out More At:<br>
www.zs.com</div></div><div></div>

Data Science Manager - Supply Chain & Manufacturing

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