54 Python Developer jobs in Doha

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 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:

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

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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.

#J-18808-Ljbffr

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Assistant/ Associate Professor - Data Science and Artificial Intelligence

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bacheloru2019s and masteru2019s degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the studentsu2019 skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.

With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance studentsu2019 skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qataru2019s National Vision 2030 a reality.

Our eligible employees enjoy competitive compensation and benefits, in accordance with applicable UDST policies. These benefits include:

• Generous academic annual leave
• Tax free salary
• Fully furnished upmarket accommodation (inclusive of utilities: water & electricity)
• Annual flights for spouse and 3 children (up to 18 years old)
• Relocation/Shipping allowance
• International health insurance
• In-house immigration services (to help you through the residency process)
• Full access to our recreational facilities
• Research and professional development support

The College of Computing and Information Technology (CCIT) invites applications for the position of Assistant/Associate Professor in Data Science and Artificial Intelligence. Exceptional candidates at the rank of Full Professor would also be considered.

Your Commitment

The primary role of the faculty members at the College of Computing and IT is to promote high-quality applied learning, innovative research, and service. Besides, he/she should collaborate with the college management and the rest of faculty to achieve the collegeu2019s mission, deliver academic programs, pursue research, and engage in several administrative and academic services.

Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses within Data Science and Artificial Intelligence. Particular areas of interest include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, IoT Software and Systems, and IoT Intelligence and Automation, but candidates with strong expertise in other areas related to Data Science and Artificial Intelligence will also be considered. Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All faculty are expected to contribute to professional and community life within the university and beyond.

Responsibilities

Education and Experience Requirements

Faculty members will be placed in the appropriate rank based on their education and experience (academic and/or industry). The broad criteria are provided below.

Education

PhD and a Masteru2019s degree in Data Science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university.

Experience

A minimum of 3 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.

An active research agenda evidenced by high-quality publications in top tier journals and conference proceedings.

Demonstrated leadership in building engagement and partnership with the profession and industry.

Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence.

Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.

6+ years of employment experience as a practitioner/professional within the relevant discipline.

Experience in leadership and innovation in technology-based projects.

For Associate Professor

Experience

A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3years of employment experience as a practitioner/professional within the relevant discipline.

A distinguished research record and international reputation evidenced by high quality publications in mainly top tier journals.

Excellent record of supervising research students.

Demonstrated leadership in building engagement and partnership with the profession and industry.

Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence.

Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.

10+ years of employment experience as a practitioner/professional within the relevant discipline.

Teaching experience in post-secondary, adult training, or industry training environment.

Experience in leadership and innovation in technology-based projects.

Other Required Skills:

A thorough knowledge and work experience in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Modeling, and IoT applications. Candidates with strong expertise in other areas of Data Science and Artificial Intelligence will be considered as well.

Commitment to applied and experiential learning as a pedagogy and a key feature of UDSTu2019s mandate.

Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments. These should incorporate contemporary tools and resources to maximize content learning in context, and to develop the knowledge, skills, competences and attitudes identified in program outcomes.

Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning.

Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.

Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.

Effective oral and written communication skills.

Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.

Ability to initiate applied research projects.

How to Apply

Applicants must meet all essential qualifications in order to be shortlisted for the position; other qualifications may be a deciding factor in the selection. Qualifications and experience will be assessed through your application, which may include but not be limited to curricula vitae, mock lectures, motivationletter, references, teaching dossiers and sample publications. It is the applicant’s responsibility to provide appropriate examples that illustrate how s/he meets each requirement. Failing to do so could result in the application being rejected. We thank all applicants for applying for the role; only those selected for further consideration will be contacted.

The First National Applied University offering applied Bachelor’s degrees and Master’s degrees in addition to certificates and diplomas in various .

#J-18808-Ljbffr

Select the region that best fits your location or preferences. This setting controls the language of the user interface, including buttons, menus, and all site text. Select your preferred language for the best browsing experience. Select the languages for job listings you want to see. This setting determines which job advertisements will be displayed to you. Swedish Norsk Danish Finnish German French Dutch Spanish Job Match Comparison

Compare your profile with the job requirements Job or profile information is not available. Why this job matches your profile

We've compared your profile to the job requirements. Here's where they align. Job or profile information is not available. You have already applied for this position. For questions regarding your application, please contact the employer. For technical assistance, reach out to our support team here. You have already applied for this position. You can instead create a job alert here. Thank you for your application! An email confirmation has been sent to your email. Receive job alerts that match your preferences. Assistant/ Associate Professor - Data Science and Artificial Intelligence

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bacheloru2019s and masteru2019s degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the studentsu2019 skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally. With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance studentsu2019 skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qataru2019s National Vision 2030 a reality. Our eligible employees enjoy competitive compensation and benefits, in accordance with applicable UDST policies. These benefits include: Generous academic annual leave Tax free salary Fully furnished upmarket accommodation (inclusive of utilities: water & electricity) Annual flights for spouse and 3 children (up to 18 years old) Relocation/Shipping allowance International health insurance In-house immigration services (to help you through the residency process) Full access to our recreational facilities Research and professional development support The College of Computing and Information Technology (CCIT) invites applications for the position of Assistant/Associate Professor in Data Science and Artificial Intelligence. Exceptional candidates at the rank of Full Professor would also be considered. Your Commitment The primary role of the faculty members at the College of Computing and IT is to promote high-quality applied learning, innovative research, and service. Besides, he/she should collaborate with the college management and the rest of faculty to achieve the collegeu2019s mission, deliver academic programs, pursue research, and engage in several administrative and academic services. Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses within Data Science and Artificial Intelligence. Particular areas of interest include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, IoT Software and Systems, and IoT Intelligence and Automation, but candidates with strong expertise in other areas related to Data Science and Artificial Intelligence will also be considered. Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All faculty are expected to contribute to professional and community life within the university and beyond. Responsibilities

Education and Experience Requirements Faculty members will be placed in the appropriate rank based on their education and experience (academic and/or industry). The broad criteria are provided below. Education PhD and a Masteru2019s degree in Data Science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university. Experience A minimum of 3 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline. An active research agenda evidenced by high-quality publications in top tier journals and conference proceedings. Demonstrated leadership in building engagement and partnership with the profession and industry. Preferred Qualifications Professional Certification in Data Science and Artificial Intelligence. Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred. 6+ years of employment experience as a practitioner/professional within the relevant discipline. Experience in leadership and innovation in technology-based projects. For Associate Professor Experience A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3years of employment experience as a practitioner/professional within the relevant discipline. A distinguished research record and international reputation evidenced by high quality publications in mainly top tier journals. Excellent record of supervising research students. Demonstrated leadership in building engagement and partnership with the profession and industry. Preferred Qualifications Professional Certification in Data Science and Artificial Intelligence. Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred. 10+ years of employment experience as a practitioner/professional within the relevant discipline. Teaching experience in post-secondary, adult training, or industry training environment. Experience in leadership and innovation in technology-based projects. Other Required Skills: A thorough knowledge and work experience in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Modeling, and IoT applications. Candidates with strong expertise in other areas of Data Science and Artificial Intelligence will be considered as well. Commitment to applied and experiential learning as a pedagogy and a key feature of UDSTu2019s mandate. Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments. These should incorporate contemporary tools and resources to maximize content learning in context, and to develop the knowledge, skills, competences and attitudes identified in program outcomes. Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning. Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning. Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning. Effective oral and written communication skills. Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community. Ability to initiate applied research projects. How to Apply Applicants must meet all essential qualifications in order to be shortlisted for the position; other qualifications may be a deciding factor in the selection. Qualifications and experience will be assessed through your application, which may include but not be limited to curricula vitae, mock lectures, motivationletter, references, teaching dossiers and sample publications. It is the applicant’s responsibility to provide appropriate examples that illustrate how s/he meets each requirement. Failing to do so could result in the application being rejected. We thank all applicants for applying for the role; only those selected for further consideration will be contacted. The First National Applied University offering applied Bachelor’s degrees and Master’s degrees in addition to certificates and diplomas in various .

#J-18808-Ljbffr

We are seeking on behalf of our client an experienced Data Analytics Consultant with strong experience in data science and advanced analytics to support our clients in leveraging data-driven insights for strategic decision-making. The role involves working closely with stakeholders to design and deliver analytics solutions, build predictive models, and translate business requirements into actionable outcomes.

Key Responsibilities

• Collaborate with clients to understand business challenges and define analytics use cases.
• Design, develop, and deploy data science models, dashboards, and reporting solutions.
• Conduct data extraction, cleaning, and transformation to ensure high-quality outputs.
• Present insights and recommendations in a clear, business-oriented manner.
• Work in cross-functional teams to deliver end-to-end analytics projects.

Requirements

• Proven experience in data analytics, data science, or related consulting roles.
• Proficiency in tools such as Python, R, SQL, Power BI, or Tableau.
• Strong knowledge of statistical methods, predictive modeling, and machine learning.
• Excellent communication and presentation skills in Arabic and English.
• Ability to manage multiple client engagements and deliver high-quality outcomes.

This is a 12-month fixed-term contract with the potential to transition into a permanent role

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We are seeking on behalf of our client an experienced

Data Analytics Consultant

with strong experience in data science and advanced analytics to support our clients in leveraging data-driven insights for strategic decision-making. The role involves working closely with stakeholders to design and deliver analytics solutions, build predictive models, and translate business requirements into actionable outcomes. Key Responsibilities

Collaborate with clients to understand business challenges and define analytics use cases. Design, develop, and deploy data science models, dashboards, and reporting solutions. Conduct data extraction, cleaning, and transformation to ensure high-quality outputs. Present insights and recommendations in a clear, business-oriented manner. Work in cross-functional teams to deliver end-to-end analytics projects. Requirements

Proven experience in data analytics, data science, or related consulting roles. Proficiency in tools such as Python, R, SQL, Power BI, or Tableau. Strong knowledge of statistical methods, predictive modeling, and machine learning. Excellent communication and presentation skills in Arabic and English. Ability to manage multiple client engagements and deliver high-quality outcomes. This is a 12-month fixed-term contract with the potential to transition into a permanent role

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Join our team at Property Finder as a

Senior Backend Developer . Innovate, grow, and shape the future in a dynamic and supportive environment. Description Founded by Michael Lahyani in 2005 as a magazine (Al Bab World), Property Finder today is a single technology platform and brand across multiple countries in the MENA region.

We offer the most advanced tools and best-in-class user experience for homeseekers, real estate brokers, and developers. Property Finder's most recent valuation secures our status among the Middle East's emerging unicorns, affirming a growth-oriented identity. Over the years, we've expanded our operations to Bahrain, Egypt, Qatar, Saudi Arabia, and secured a strategic shareholding in Hepsiemlak, the leading property portal in Turkey. With over 600+ dedicated people in 6 regional offices, we facilitate more than 14 million monthly visits across our platforms, solidifying our position as a regional powerhouse in the proptech space. As the pioneering portal for homeseekers in the region, we are on a mission to motivate and inspire people to live the life they deserve. We are backed by leading investors such as General Atlantic famous for having invested in growth companies such as Facebook, Uber, Alibaba and AirBnB to name a few. With the most recent funding round, the Propertyfinder Group is one of the fastest growing companies in the region. What You Can Expect From Us We provide a highly international and collaborative environment, with emphasis on talent and development of employees. Our product teams are truly cross functional - design, engineering, data and product working closely together in building excellent products. This is your opportunity to work with a world class team. Come join us in shaping the future of real estate. Summary We are looking for incredibly talented Senior Backend Developers to join our development team here at Property Finder. We believe in nurturing your talent and we encourage creativity and autonomy where you are free to grow and develop your career in a fun, forward thinking and positive environment. As a company, we are very performance oriented and test the performance of all code and database queries, but we always ensure that this does not affect code quality and legibility. We take the time to refactor and rework code when necessary, but we always have the business goals in mind when doing this. We expect our developers to be passionate about new technologies and think of creative ways that they could benefit our business. We want our developers to stay current with changes in technologies such as Go, DynamoDB, ElasticSearch, and other AWS services like AWS Step Functions to build tailored solutions using cloud native technologies. We are big proponents of Agile development methods with small cross-functional teams fully empowered to take an idea from inception and to be able to deliver it fully tested into production with minimal outside disruptions. Because of this you will need to be able to work well with others in your team and be able to contribute meaningful ideas on how to best achieve your objectives and key results. Responsibilities In a large tech department, divided in smaller teams, you'll be in charge of developing new features, as well as refactoring existing projects. You need to be able to write clean and scalable code. You'll need to be able to participate in brainstorming sessions and to bring your opinion and experience to the table. Requirements Very strong Object Oriented Programming and design pattern skills. Experience working with backend languages i.e., Java, C#, Python, Golang. Strong analytical and problem solving skills. Very comfortable working with MySQL / DynamoDB, REST web services, Git / Github. Preferred Requirements Computer Science (or similar) education, Serverless Framework, Golang, ElasticSearch. Comfortable working with testing frameworks, Message Queuing / RabbitMQ, Memcached or Redis, DynamoDB, AWS Lambda, AWS Step Functions, AWS SQS/SNS. Our promise to talent We encourage our people, called creators, to move fast, to be bold and offer them countless ways to make an impact in a fast-growing and talent-centric organisation. Our goal is to ensure that our people find their time at Property Finder a rewarding experience where the company's growth also means personal growth. Overall it is a place for you to be your best self. Property Finder Principles Move fast and make things happen. Data beats opinions. Don't confuse motion with progress. Failure is success if we learn from it. People over pixels.

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