10 Global Data jobs in Kuwait

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes Oversee the design and implementation of innovative data science projects that drive value for the organization Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively Excellent project management skills and ability to prioritize tasks in a fast-paced environment Strong analytical and problem-solving skills with attention to detail Exceptional communication skills, both verbal and written, in English and Arabic Proven capability to drive collaboration across teams and influence senior stakeholders

Preferable Certificates:

Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer

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SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
  
  

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
• Proven track record of successfully leading and delivering large-scale data science projects that drive business value
• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
• Strong project management skills and ability to lead teams in a fast-paced environment
• Excellent analytical and strategic thinking skills, with a focus on results
• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

#J-18808-Ljbffr

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

Develop and implement the overall data science vision, strategy, and framework to align with organizational goals Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark) Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies Proven track record of successfully leading and delivering large-scale data science projects that drive business value Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses Strong project management skills and ability to lead teams in a fast-paced environment Excellent analytical and strategic thinking skills, with a focus on results Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates:

Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer

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Data Science Specialist, Analytics Division

• Analyzing complex data sets to provide insights and recommendations.
• Developing algorithms and statistical models to extract valuable information from data.
• Collaborating with cross-functional teams to understand business needs and deliver data-driven solutions.
• Presenting findings and recommendations to stakeholders clearly and concisely.
• Keeping up-to-date with advancements in data science and technology.

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work collaboratively in a team environment.

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Data Science Specialist, Analytics Division

Analyzing complex data sets to provide insights and recommendations. Developing algorithms and statistical models to extract valuable information from data. Collaborating with cross-functional teams to understand business needs and deliver data-driven solutions. Presenting findings and recommendations to stakeholders clearly and concisely. Keeping up-to-date with advancements in data science and technology. Requirements: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in data analysis, statistical modeling, and machine learning techniques. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to work collaboratively in a team environment.

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Infrastructure and Data Consultant, Global Services Delivery (English, Arabic)
_corporate_fare_ Google _place_ Kuwait City, Kuwait
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ Bachelor's degree in Computer Science or equivalent practical experience.
+ Experience in networking, compute infrastructure (e.g. servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments.
+ 5 years of experience in delivering and developing customer-facing services with Cloud adoption and Cloud Migration programs.
+ Experience in one or more of the following such as Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE.
+ Experience in technical consulting or project, program management in corporate IT, professional IT services, or product development.
+ Ability to communicate in English and Arabic fluently to support client relationship in this region.
**Preferred qualifications:**
+ MBA or Master's degree in Computer Science, Engineering or a related field.
+ Experience with infrastructure-as-code tools (e.g., Terraform, Cloud Deployment Manager) for automated infrastructure provisioning and management.
+ Experience with deployment and orchestration technologies (Docker, Kubernetes, Ansible, etc.) in production environments.
+ Experience working with cross-functional, geographically dispersed teams and customer bases, collaborating with channel partners, systems integrators, and third-party developers to deliver high-impact solutions.
+ Experience in customer-facing migrations, encompassing service discovery, assessment, planning, execution, and operations.
+ Experience with reading software code in one or more languages (e.g., Java, Javascript, or Python).
**About the job**
As a Platforms and Infrastructure Cloud Consultant, you will work directly with Google's customers on infrastructure projects that transform business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Partner with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
+ Design solution architectures and manage the deployment of cloud-based distributed virtualized infrastructure solutions according to customer requirements and implement best practices.
+ Collaborate with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
+ Co-ordinate with Sales, Partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
+ Travel approximately 30% of the time for client engagements.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Environmental Engineer – Data Analysis and Training Coordinator

We are seeking an Environmental Engineer – Data Analysis and Training Coordinator to support the Environmental Department in two key areas: environmental KPI data analysis and the management of internal environmental training programs. This role ensures environmental performance is effectively measured, communicated, and improved through accurate data reporting and consistent employee training.

Responsibilities

• Collect, analyze, and report on environmental performance data (e.g., emissions, water, energy, waste) across departments.


• Maintain, track, and update internal environmental KPI dashboards.


• Identify data trends and assist with internal reporting and decision-making.


• Prepare monthly, quarterly, and annual environmental data reports for review by the direct manager.


• Support internal audits and inspections as per ISO 14001 Environmental Management System (EMS) requirements.


• Create, coordinate, manage, and maintain online environmental training system modules.


• Monitor training completion rates and ensure compliance with internal environmental training requirements.


• Work with department leads and HR to support onboarding and refresher training needs.


• Provide regular updates and reports on training performance.

Qualifications

• Bachelor's degree in engineering or a related field.


• Minimum 2 years of experience in data analysis or a related role.


• Strong skills in Excel and/or data visualization tools such as Power BI.


• High attention to detail and ability to manage multiple projects.

Skills

• Strong analytical and data management skills (Excel, Power BI, etc.).


• Good communication and reporting skills.


• Basic knowledge of ISO 14001 requirements and environmental compliance.


• Strong organizational and time management skills.

Seniority level

Entry level

Employment type

Full-time

Job function

• Engineering and Information Technology

Industries

• Dairy Product Manufacturing

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Overview

Job duties include but are not limited to: To support the Environmental Department in two key areas: environmental KPI data analysis and the management of our internal environmental training programs. This role is essential in ensuring our environmental performance is effectively measured, communicated, and improved through accurate data reporting and consistent employee training.

Key Responsibilities

• Collect, analyze, and report on environmental performance data (e.g., emissions, water, energy, waste) across departments.
• Maintain, track, and update internal environmental KPI dashboards.
• Identify data trends and assist with internal reporting and decision-making.
• Prepare monthly, quarterly, and annual environmental data reports to direct manager for review.
• Support internal audits and inspections as per ISO 14001 Environmental Management System (EMS) requirements.
• Create, coordinate, manage, and maintain the online environmental training system modules.
• Monitor training completion rates and ensure compliance with internal environmental training requirements.
• Work with department leads and HR to support onboarding and refresher training needs.
• Provide regular updates and reports on training performance.

Required Qualifications

• Bachelor's degree in engineering or a related field.
• Minimum 2 years of experience in data analysis or a related role.
• Strong skills in Excel and/or data visualization tools such as Power BI.
• High attention to detail and ability to manage multiple projects.

Required Skills

• Strong analytical and data management skills (Excel, Power BI, etc.).
• Good communication and reporting skills.
• Basic knowledge of ISO 14001 requirements and environmental compliance.
• Strong organizational and time management skills.

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Environmental Engineer – Data Analysis and Training Coordinator

We are seeking an Environmental Engineer – Data Analysis and Training Coordinator to support the Environmental Department in two key areas: environmental KPI data analysis and the management of internal environmental training programs. This role ensures environmental performance is effectively measured, communicated, and improved through accurate data reporting and consistent employee training. Responsibilities

Collect, analyze, and report on environmental performance data (e.g., emissions, water, energy, waste) across departments. Maintain, track, and update internal environmental KPI dashboards. Identify data trends and assist with internal reporting and decision-making. Prepare monthly, quarterly, and annual environmental data reports for review by the direct manager. Support internal audits and inspections as per ISO 14001 Environmental Management System (EMS) requirements. Create, coordinate, manage, and maintain online environmental training system modules. Monitor training completion rates and ensure compliance with internal environmental training requirements. Work with department leads and HR to support onboarding and refresher training needs. Provide regular updates and reports on training performance. Qualifications

Bachelor's degree in engineering or a related field. Minimum 2 years of experience in data analysis or a related role. Strong skills in Excel and/or data visualization tools such as Power BI. High attention to detail and ability to manage multiple projects. Skills

Strong analytical and data management skills (Excel, Power BI, etc.). Good communication and reporting skills. Basic knowledge of ISO 14001 requirements and environmental compliance. Strong organizational and time management skills. Seniority level

Entry level Employment type

Full-time Job function

Engineering and Information Technology Industries

Dairy Product Manufacturing

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