35 Junior Data Lead jobs in Bahrain

Lead Data Governance Engineer

Canonical

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Canonical is a leading provider of open-source software and operating systems for 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 1200+ colleagues in more than 80 countries and very few office-based roles. 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 a Lead Data Governance Engineer with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.

The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.

Location : This role will be based remotely in the EMEA region.

The role entails

  • Define, monitor, and execute data governance policies
  • Design, implement, and maintain tooling for automated data mesh operations
  • Deploy and operate services developed by the team
  • Depending on your seniority, coach, mentor, and offer career development feedback
  • Develop and evangelize great engineering and organizational practices

What we are looking for in you

  • 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
  • Track record of going above-and-beyond expectations to achieve outstanding results
  • Experience with data quality, governance, and security processes and tools
  • Experience with software development in Python and SQL
  • Professional written and spoken English with excellent presentation skills
  • Result-oriented, with a personal drive to meet commitments
  • Ability to travel internationally twice a year, for company events up to two weeks long

Nice-to-have skills

  • Performance engineering and security experience
  • Experience with Airbyte, Ranger, Superset, Temporal, or Trino

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 recognize 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 Program
  • 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 Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries Software Development

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Lead Data Scientist

30301 Al Jasra BHD130000 Annually WhatJobs

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full-time
Our client is searching for a highly motivated and experienced Lead Data Scientist to spearhead their data-driven initiatives. This is a fully remote opportunity, allowing you to contribute your expertise from the convenience of your home office. You will lead a team of data scientists and analysts, driving the development and implementation of advanced analytical models and machine learning solutions that provide critical business insights. Your responsibilities will include defining the data science roadmap, mentoring junior team members, collaborating with stakeholders across various departments to understand their data needs, and translating business problems into analytical frameworks. You will be responsible for the end-to-end lifecycle of data science projects, from data acquisition and preprocessing to model development, validation, and deployment. Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques is essential. Proficiency in programming languages like Python or R, along with experience using data science libraries (e.g., scikit-learn, TensorFlow, PyTorch) and SQL, is required. Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a significant plus. We are seeking a strategic thinker with excellent communication and leadership skills, capable of effectively communicating complex findings to both technical and non-technical audiences. This role offers a unique chance to shape the future of data intelligence within our organization and advance your career in a rapidly growing field. We provide a competitive salary, comprehensive benefits, and a stimulating work environment.
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Lead Data Scientist

751 Zallaq, Southern BHD110000 Annually WhatJobs

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full-time
Our client, a prestigious research institution focused on advancements in biotechnology, is seeking a highly motivated and experienced Lead Data Scientist to join their dedicated team in Zallaq, Southern, BH . This critical role involves leading a team of data scientists in analyzing complex biological datasets, developing predictive models, and extracting actionable insights to drive scientific discovery. You will play a key role in shaping the analytical approaches and methodologies used within the organization.

Responsibilities include designing and implementing advanced statistical models and machine learning algorithms; performing exploratory data analysis to identify trends and patterns; collaborating with research scientists to define research questions and hypotheses; developing and validating predictive models for biological processes; presenting research findings and insights to technical and non-technical stakeholders; mentoring junior data scientists and providing technical guidance; staying abreast of the latest developments in data science, machine learning, and bioinformatics; and ensuring the integrity and quality of data analysis pipelines. Expertise in areas such as genomics, proteomics, or clinical trial data analysis is highly valued.

The ideal candidate will hold a Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field. A minimum of 7 years of experience in data science, with a significant portion focused on biological or healthcare data, is required. Proven leadership experience, managing and mentoring a team of data scientists, is essential. Proficiency in programming languages such as Python or R, along with experience in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), is a must. Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop) are also required. Excellent communication and presentation skills are necessary to convey complex findings effectively. This role requires an on-site presence in our state-of-the-art facility in Zallaq.
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Lead Data Scientist

1302 Hamala, Northern BHD120000 Annually WhatJobs

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full-time
Our client is seeking an exceptional Lead Data Scientist to spearhead their advanced analytics and machine learning initiatives. This is a remote-first opportunity for a visionary leader passionate about leveraging data to drive innovation and solve complex business challenges. The Lead Data Scientist will be responsible for designing, developing, and deploying sophisticated machine learning models, conducting advanced statistical analysis, and interpreting large datasets to extract actionable insights. You will lead a team of data scientists, mentor junior members, and collaborate with cross-functional teams, including engineering, product, and business development. Key responsibilities include identifying opportunities for data-driven solutions, defining project roadmaps, and ensuring the quality and scalability of deployed models. The ideal candidate will possess deep expertise in machine learning algorithms, statistical modeling, programming languages (Python, R), and big data technologies (e.g., Spark, Hadoop). Strong communication and presentation skills are crucial for conveying complex findings to both technical and non-technical stakeholders. This fully remote role requires a proactive, self-motivated individual who thrives in an innovative environment. You will be instrumental in shaping the company's data strategy, driving predictive analytics, and developing AI-powered products. A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field is required. A minimum of 8 years of experience in data science, with at least 2 years in a leadership or team lead role, is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable for this remote position.
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Lead Data Scientist

814 Riffa, Southern BHD130000 Annually WhatJobs

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full-time
Our client, a rapidly expanding data analytics firm, is seeking a highly skilled and visionary Lead Data Scientist to drive innovation and insights from complex datasets in Riffa, Southern, BH . This leadership role is responsible for guiding a team of data scientists, developing advanced machine learning models, and delivering actionable insights that inform strategic business decisions. The Lead Data Scientist will work closely with stakeholders across the organization, including product management, marketing, and operations, to identify opportunities for data-driven solutions. Key responsibilities include defining data science strategies, overseeing the end-to-end development of predictive models, and ensuring the quality and reliability of analytical outputs. You will be instrumental in selecting appropriate statistical techniques, machine learning algorithms, and data mining tools. The ideal candidate will possess a strong background in statistical modeling, machine learning, deep learning, and data visualization. Proficiency in programming languages such as Python or R, along with experience in big data technologies (e.g., Spark, Hadoop) and cloud platforms, is essential. You will mentor and develop junior data scientists, foster a culture of collaboration and continuous learning, and present complex findings to both technical and non-technical audiences. This is an outstanding opportunity for a passionate data leader to make a significant impact and shape the future of data-driven decision-making.

Qualifications:
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 7 years of experience in data science, with at least 3 years in a lead or management role.
  • Proven experience in developing and deploying machine learning models in production environments.
  • Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
  • Proficiency in Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
  • Excellent leadership, communication, and presentation skills.
  • Strong problem-solving abilities and a passion for uncovering insights from data.
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Lead Data Scientist

2002 Seef, Capital BHD110000 Annually WhatJobs

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full-time
Our client is seeking a highly accomplished Lead Data Scientist to drive data-driven decision-making within their innovative technology division, based in **Jidhafs, Capital, BH**. This senior role will involve leading a team of data scientists and analysts, overseeing the entire data science lifecycle from problem definition to model deployment and interpretation. You will be responsible for identifying business challenges that can be addressed through data analysis, developing predictive and prescriptive models, and communicating insights to stakeholders across the organization. Key responsibilities include designing and implementing machine learning algorithms, conducting statistical analysis, and building robust data pipelines. You will also be tasked with staying at the forefront of advancements in AI and machine learning, evaluating new tools and methodologies, and mentoring junior team members. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, along with a minimum of 6 years of experience in data science and machine learning. Proficiency in programming languages such as Python or R, along with experience in SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (e.g., AWS, Azure, GCP) is essential. Demonstrable experience in leading data science projects and a strong portfolio of successfully deployed models are required. Excellent communication and storytelling abilities are crucial for translating complex analytical findings into actionable business strategies. This is a unique opportunity to shape the data science function and make a significant impact on business outcomes.
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Lead Data Scientist

115 Manama, Capital BHD150000 Annually WhatJobs

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full-time
Our client is looking for a talented and experienced Lead Data Scientist to spearhead their advanced analytics initiatives in Manama, Capital, BH . This role involves leading a team of data scientists and analysts in developing sophisticated machine learning models and statistical analyses to drive business insights and decision-making. You will be responsible for the entire data science lifecycle, from problem definition and data collection to model development, validation, and deployment. The ideal candidate will have a strong foundation in statistical modeling, machine learning algorithms, and programming languages such as Python or R. Experience with big data technologies and cloud platforms is highly desirable. This position requires not only technical expertise but also strong leadership and communication skills to mentor the team and effectively present findings to both technical and non-technical stakeholders. You will play a crucial role in shaping the data strategy and fostering a data-driven culture within the organization.

Responsibilities:
  • Lead and mentor a team of data scientists and analysts.
  • Develop and implement advanced statistical and machine learning models.
  • Identify, collect, and analyze large, complex datasets.
  • Design and execute experiments to test hypotheses and validate models.
  • Deploy machine learning models into production environments.
  • Collaborate with engineering and product teams to integrate data science solutions.
  • Communicate complex findings and recommendations to stakeholders at all levels.
  • Stay current with the latest advancements in data science and machine learning.
  • Define and track key performance indicators for data science projects.
  • Ensure data quality and integrity throughout the analytics process.
Qualifications:
  • Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in data science, with at least 2 years in a lead or management role.
  • Expertise in Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
  • Proficiency with SQL and big data technologies (e.g., Spark, Hadoop).
  • Strong understanding of machine learning algorithms, statistical modeling, and experimental design.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
  • Excellent communication, presentation, and leadership skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
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Lead Data Scientist

23456 Seef, Capital BHD95000 Annually WhatJobs

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full-time
Our client is actively seeking a talented and experienced Lead Data Scientist to drive advanced analytics and machine learning initiatives within their innovative technology company, located in Jidhafs, Capital, BH . This pivotal role will involve leading a team of data scientists, developing predictive models, extracting actionable insights from large datasets, and translating complex findings into business strategies. The ideal candidate will have a strong background in statistical modeling, machine learning algorithms, data visualization, and a proven ability to mentor and guide junior team members. You will be at the forefront of leveraging data to solve challenging business problems, optimize product features, and enhance customer experiences. This position requires a combination of deep technical expertise, strategic thinking, and excellent communication skills.

Key responsibilities:
  • Lead the design, development, and implementation of machine learning models and algorithms to solve complex business problems.
  • Extract, clean, and transform large, complex datasets from various sources.
  • Develop and deploy predictive models for forecasting, classification, clustering, and recommendation systems.
  • Conduct exploratory data analysis to identify trends, patterns, and insights.
  • Collaborate with engineering and product teams to integrate data science solutions into production systems.
  • Mentor and guide junior data scientists, providing technical expertise and fostering professional growth.
  • Communicate complex analytical findings and recommendations clearly to technical and non-technical stakeholders through visualizations and reports.
  • Stay current with the latest research and advancements in data science, machine learning, and artificial intelligence.
  • Define and track key performance indicators (KPIs) for data science projects.
  • Ensure data quality, integrity, and governance across all analytical initiatives.
  • Contribute to the development of the company's data strategy and roadmap.

Required qualifications:
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of experience in data science, with a proven track record of delivering impactful analytical solutions.
  • Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
  • Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with SQL and working with large datasets in distributed computing environments (e.g., Spark).
  • Proficiency in data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong leadership and team management capabilities.
  • Effective communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This is an exceptional opportunity to make a significant impact by harnessing the power of data in a fast-paced and innovative environment.
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Lead Data Scientist

33375 Northern, Northern BHD110000 Annually WhatJobs

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full-time
Our client, a forward-thinking analytics and technology firm, is seeking an experienced and visionary Lead Data Scientist to spearhead their data science initiatives. This influential role is based in our modern offices located in Shakhura, Northern, BH . The Lead Data Scientist will be responsible for developing and implementing advanced statistical models, machine learning algorithms, and predictive analytics solutions to drive business insights and strategic decision-making. You will lead a team of data scientists, collaborate with stakeholders across the organization, and champion data-driven approaches. The ideal candidate will possess a strong foundation in statistics, machine learning, programming, and data visualization, coupled with exceptional leadership and communication skills. Key responsibilities include identifying business challenges that can be solved with data, designing and executing data mining strategies, and building robust predictive models. You will also be tasked with data storytelling, presenting complex findings to non-technical audiences, and mentoring junior team members. A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is required. A minimum of 6 years of professional experience in data science, with at least 2 years in a leadership or supervisory role, is mandatory. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark, Hadoop) are essential. Familiarity with SQL and database management is also required. The successful candidate will have a proven ability to translate complex data into actionable business strategies, excellent problem-solving skills, and a passion for innovation. This is a unique opportunity for a talented data leader to shape the future of data analytics within our organization and drive significant business impact. If you are a strategic thinker with a passion for uncovering insights from data, we encourage you to apply.

Responsibilities:
  • Lead data science projects from conceptualization to deployment.
  • Develop and implement advanced machine learning models.
  • Analyze large, complex datasets to extract meaningful insights.
  • Build predictive analytics solutions to support business objectives.
  • Mentor and guide junior data scientists and analysts.
  • Collaborate with business stakeholders to define data requirements.
  • Communicate complex findings effectively to diverse audiences.
  • Stay abreast of the latest advancements in data science and AI.
  • Develop and maintain data pipelines and infrastructure.
  • Ensure the quality and integrity of data used for analysis.

Qualifications:
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, or related field.
  • Minimum 6 years of experience in data science, with 2+ years in a lead role.
  • Proficiency in Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong SQL skills and experience with databases.
  • Familiarity with big data technologies (e.g., Spark, Hadoop).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation abilities.
  • Proven ability to lead teams and manage projects.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
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Lead Data Scientist - Biotechnology

01776 Al Jasra BHD120000 Annually WhatJobs

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full-time
Our client is seeking an exceptional Lead Data Scientist to join their cutting-edge Scientific Research & Development division in a fully remote capacity. This role is central to leveraging advanced data analytics and machine learning techniques to drive groundbreaking discoveries in biotechnology. You will lead a team of data scientists and analysts, guiding them on complex projects that analyze large, multi-modal datasets from experiments and clinical trials. Your responsibilities will include developing and implementing sophisticated algorithms for data mining, predictive modeling, and pattern recognition. You will be instrumental in designing data architectures, ensuring data quality, and creating robust pipelines for data processing and analysis. A key aspect of this role involves translating complex analytical findings into actionable insights that inform strategic decision-making for research and development initiatives. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Statistics, Bioinformatics, or a related quantitative field, with a proven track record of leading data science teams and projects. Extensive experience with programming languages such as Python or R, and expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) are mandatory. Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. You must possess excellent communication and presentation skills to effectively convey technical concepts to both technical and non-technical audiences. This fully remote position requires a self-motivated individual with strong analytical and problem-solving abilities, capable of working independently and collaborating effectively with a globally distributed team. Join us to make a significant contribution to the future of biotechnology through data-driven innovation.
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