35 Junior Data Lead jobs in Bahrain
Lead Data Governance Engineer
Posted 7 days ago
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Join to apply for the Lead Data Governance Engineer role at Canonical
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Join to apply for the Lead Data Governance Engineer role at Canonical
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
- 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
- Performance engineering and security experience
- Experience with Airbyte, Ranger, Superset, Temporal, or Trino
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
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 Full-time
- Job function Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
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#J-18808-LjbffrLead Data Scientist
Posted today
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Lead Data Scientist
Posted today
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Job Description
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.
Lead Data Scientist
Posted today
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Lead Data Scientist
Posted today
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Job Description
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.
Lead Data Scientist
Posted today
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Job Description
Lead Data Scientist
Posted today
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Job Description
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.
- 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
Posted today
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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.
Lead Data Scientist
Posted today
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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).
Lead Data Scientist - Biotechnology
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