27 Big Data Technologies jobs in Kuwait
Data Science Manager
Posted 24 days ago
Job Viewed
Job Description
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
- 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
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
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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Senior Data Science Manager
Posted 16 days ago
Job Viewed
Job Description
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
- 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
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Senior Data Science Manager
Posted 2 days ago
Job Viewed
Job Description
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
Posted 3 days ago
Job Viewed
Job Description
- 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.
Data Science Specialist, Analytics Division
Posted 2 days ago
Job Viewed
Job Description
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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Engineering Manager - Data Platform
Posted 3 days ago
Job Viewed
Job Description
Engineering Manager - Data Platform role at Canonical . Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
Location: This role can be filled in European, Middle East, African or any American region / time zone.
What your day will look like- You will lead a team building scalable data solutions for Kubernetes and cloud machines
- You will hire, coach, mentor, provide feedback, and lead your team by example
- You will demonstrate sound engineering skill by directly contributing code when needed
- Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
- Advocate modern, agile software development practices
- Develop and evangelize great engineering and organizational practices
- Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
- Grow a healthy, collaborative engineering culture aligned with the company's values
- Be an active part of the leadership team and collaborate with other leaders in the organization
- Work from home with global travel twice yearly, for internal events of one or two weeks duration
- A software engineering background, preferably with Python and Golang experience
- Experience running in production and at scale, preferably Big Data or MySQL
- Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
- Proven ability to build high-quality, open-source software
- Proven to drive good engineering practices around performance and quality
- An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
- The ambition to build products that improve how people operate software and infrastructure everywhere
- Love developing and growing people and have a track record of doing it
- Knowledgeable and passionate about software development
- Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
- Prior experience working with open source and a will to build products with the community
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000 USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues at 'sprints'
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.
Seniority level- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Software Development
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Engineering Manager - Data Platform
Posted 3 days ago
Job Viewed
Job Description
Engineering Manager - Data Platform role at Canonical . Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
Location: This role can be filled in European, Middle East, African or any American region / time zone.
What your day will look like- You will lead a team building scalable data solutions for Kubernetes and cloud machines
- You will hire, coach, mentor, provide feedback, and lead your team by example
- You will demonstrate sound engineering skill by directly contributing code when needed
- Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
- Advocate modern, agile software development practices
- Develop and evangelize great engineering and organizational practices
- Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
- Grow a healthy, collaborative engineering culture aligned with the company's values
- Be an active part of the leadership team and collaborate with other leaders in the organization
- Work from home with global travel twice yearly, for internal events of one or two weeks duration
- A software engineering background, preferably with Python and Golang experience
- Experience running in production and at scale, preferably Big Data or MySQL
- Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
- Proven ability to build high-quality, open-source software
- Proven to drive good engineering practices around performance and quality
- An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
- The ambition to build products that improve how people operate software and infrastructure everywhere
- Love developing and growing people and have a track record of doing it
- Knowledgeable and passionate about software development
- Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
- Prior experience working with open source and a will to build products with the community
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000 USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues at 'sprints'
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.
Seniority level- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Software Development
Engineering Manager - Data Platform
Posted 3 days ago
Job Viewed
Job Description
Engineering Manager - Data Platform role at Canonical . Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
Location: This role can be filled in European, Middle East, African or any American region / time zone.
What your day will look like- You will lead a team building scalable data solutions for Kubernetes and cloud machines
- You will hire, coach, mentor, provide feedback, and lead your team by example
- You will demonstrate sound engineering skill by directly contributing code when needed
- Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
- Advocate modern, agile software development practices
- Develop and evangelize great engineering and organizational practices
- Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
- Grow a healthy, collaborative engineering culture aligned with the company's values
- Be an active part of the leadership team and collaborate with other leaders in the organization
- Work from home with global travel twice yearly, for internal events of one or two weeks duration
- A software engineering background, preferably with Python and Golang experience
- Experience running in production and at scale, preferably Big Data or MySQL
- Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
- Proven ability to build high-quality, open-source software
- Proven to drive good engineering practices around performance and quality
- An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
- The ambition to build products that improve how people operate software and infrastructure everywhere
- Love developing and growing people and have a track record of doing it
- Knowledgeable and passionate about software development
- Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
- Prior experience working with open source and a will to build products with the community
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000 USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues at 'sprints'
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.
Seniority level- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Software Development
Engineering Manager - Data Platform
Posted 3 days ago
Job Viewed
Job Description
Engineering Manager - Data Platform role at Canonical . Canonical is building a comprehensive suite of multi-cloud and on-premise data solutions for the enterprise. We want to make it easy to operate any database on any cloud, or on premise. The data platform team covers the full range of data stores and data technologies, spanning from big data, NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines like Postgres and MySQL. We aim to deliver fault-tolerant mission-critical distributed systems, and the world's best data platform.
We are looking for technical Engineering Managers to lead teams focused on Big Data and MySQL databases. We write code in Python and encode modern operational practices for data applications at scale on Kubernetes and cloud machines.
Location: This role can be filled in European, Middle East, African or any American region / time zone.
What your day will look like- You will lead a team building scalable data solutions for Kubernetes and cloud machines
- You will hire, coach, mentor, provide feedback, and lead your team by example
- You will demonstrate sound engineering skill by directly contributing code when needed
- Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
- Advocate modern, agile software development practices
- Develop and evangelize great engineering and organizational practices
- Ensure that your team delivers excellent products that users love by maintaining a culture of quality and engineering excellence
- Grow a healthy, collaborative engineering culture aligned with the company's values
- Be an active part of the leadership team and collaborate with other leaders in the organization
- Work from home with global travel twice yearly, for internal events of one or two weeks duration
- A software engineering background, preferably with Python and Golang experience
- Experience running in production and at scale, preferably Big Data or MySQL
- Excellent judgement about people - their motivations, abilities, developmental needs, and prospects for success
- Proven ability to build high-quality, open-source software
- Proven to drive good engineering practices around performance and quality
- An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
- The ambition to build products that improve how people operate software and infrastructure everywhere
- Love developing and growing people and have a track record of doing it
- Knowledgeable and passionate about software development
- Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
- Prior experience working with open source and a will to build products with the community
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000 USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues at 'sprints'
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.
Seniority level- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Software Development