15 Data Analytics jobs in Kuwait

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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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions
  
  

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long
  
  

Additional Skills That Would Be Nice To Have



The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project
  
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Junior Software Engineer - Cross-platform C++ - Multipass Python Software Engineer - Ubuntu Hardware Certification Team Senior Software Engineer - Python/MongoDB

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring

Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions

to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location:

This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions that will be deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, tracing Work with both Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact in public with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

Hands-on experience with machine learning libraries, or tools. Proven track record of building highly automated machine learning solutions for the cloud. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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

Seniority level Entry level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Junior Software Engineer - Cross-platform C++ - Multipass

Python Software Engineer - Ubuntu Hardware Certification Team

Senior Software Engineer - Python/MongoDB

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Join to apply for the Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics role at Canonical

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

1 day ago Be among the first 25 applicants

Join to apply for the Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics role at Canonical

Get AI-powered advice on this job and more exclusive features.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions
  
  

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long
  
  

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
• Hands-on experience with machine learning libraries, or tools.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project
  
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Sign in to set job alerts for “Software Engineer” roles. Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer (Python/Linux/Packaging) Software Engineer - Solutions Engineering Software Engineer - Python - Container Images Software Engineer - Cross-platform C++ - Multipass Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Software Engineer, Ceph & Distributed Storage Distributed Systems Software Engineer, Python / Go Software Engineer - Immutable Ubuntu Desktop Senior Software Engineer - Python/MongoDB System Software Engineer - GCC/LLVM compiler, tooling, and ecosystem

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Join to apply for the

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

role at

Canonical Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

1 day ago Be among the first 25 applicants Join to apply for the

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

role at

Canonical Get AI-powered advice on this job and more exclusive features. Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring

Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions

to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location:

This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions that will be deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, tracing Work with both Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact in public with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on experience with machine learning libraries, or tools. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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

Seniority level Entry level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Sign in to set job alerts for “Software Engineer” roles.

Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu

Software Engineer (Python/Linux/Packaging)

Software Engineer - Solutions Engineering

Software Engineer - Python - Container Images

Software Engineer - Cross-platform C++ - Multipass

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Software Engineer - Python - Container Images

Software Engineer, Ceph & Distributed Storage

Distributed Systems Software Engineer, Python / Go

Software Engineer - Immutable Ubuntu Desktop

Senior Software Engineer - Python/MongoDB

System Software Engineer - GCC/LLVM compiler, tooling, and ecosystem

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic

Preferable Certificates:

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

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Key Roles And Responsibilities

• Design and implement advanced analytical models to identify trends, patterns, and relationships in complex datasets
• Develop and deploy machine learning algorithms and predictive models to forecast demand, sales, and other key metrics
• Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven decision-making
• Extract, clean, and prepare large datasets for analysis using tools such as SQL, Python, and R
• Communicate findings and insights to stakeholders, using data visualization and other techniques to present results
• Stay up-to-date with the latest trends and techniques in data science and identify opportunities to incorporate these into the organization's processes and strategies
• Provide guidance and mentorship to junior members of the data science team

Qualifications

• Strong background in statistics, machine learning, and programming
• Experience working with large and complex datasets in the retail and FMCG industry
• Excellent communication and collaboration skills
• Ability to work effectively with cross-functional teams

Technical Skills

• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Power BI and IBM Cognos
• Knowledge of machine learning algorithms and techniques
• Familiarity with database management systems and SQL.

Competencies

• Accountability & Ownership L3
• Analytical Thinking L3
• Business Intelligence L2
• Computer Programming & Coding L2
• Conceptual Thinking L1
• Customer Focus L3
• Drive Performance L1
• Drive Results L1
• Impact & Influence L1
• Initiative L3
• Interpersonal Understanding L3
• Inventory Management L3
• Project Management L3
• Result Orientation L3
• Team Development L1
• Team Leadership L1
• Team Work L3

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• Design and implement advanced analytical models to identify trends, patterns, and relationships in complex datasets
• Develop and deploy machine learning algorithms and predictive models to forecast demand, sales, and other key metrics
• Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven decision-making
• Extract, clean, and prepare large datasets for analysis using tools such as SQL, Python, and R
• Communicate findings and insights to stakeholders, using data visualization and other techniques to present results
• Stay up-to-date with the latest trends and techniques in data science and identify opportunities to incorporate these into the organization's processes and strategies
• Provide guidance and mentorship to junior members of the data science team

Qualifications:

• Strong background in statistics, machine learning, and programming
• Experience working with large and complex datasets in the retail and FMCG industry
• Excellent communication and collaboration skills
• Ability to work effectively with cross-functional teams

Technical Skills:

• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Power BI and IBM Cognos
• Knowledge of machine learning algorithms and techniques
• Familiarity with database management systems and SQL.

#J-18808-Ljbffr

1 month ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

Preferable Certificates:

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

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at SWATX by 2x

Software Engineer - Python - Container Images Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Software Engineer - Python - Container Images Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Software Engineer - Solutions Engineering

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr