134 Junior Data Lead jobs in Bahrain

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

Data Analytics Lead Instructor

In this immersive course, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI and Python as the primary tools for analysis. We are looking for an instructor to lead this In-Campus (based in Bahrain) Analytics course. This role is a full-time, temporary position that includes a start and end date for this cohort. There may be potential to receive an additional assignment offering, but additional assignments are not guaranteed.

This role is to be performed on-site, in-campus in Bahrain .

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python.
• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have at least 5 years of work experience in a role where you've been responsible for cleaning messy data, analyzing the data and presenting your data based insights.

Preferred

• Experience working in-campus, in-person mentoring or in-person training etc.
• Backgrounds in adult learning, pedagogy and curriculum development
• Background in workshop facilitation and professional development
• Completion of a bachelor's degree or at least 10 years of applicable experience in lieu of a 4-year degree
• At least 2 years of practical experience within the last five years; 3 years preferred.
• Practical experience does not include teaching experience.
• Good moral character and strong decision making abilities
• Language, mathematical, reasoning, and computer skills that assure teaching effectiveness.

RESPONSIBILITIES AND DUTIES

• Teach and facilitate in class instruction based on the schedule proposed in the interview (full-time: Sunday through Thursday 9 AM to 5 PM; different scheduling for part-time)
• Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress.
• Collaborate alongside GA staff in order to best meet the needs and learning styles of your students.
• Guide students through the development of real world projects that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning complex subjects.
• Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide.

General Assembly will cover all travel-related expenses for qualified candidates.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

• Lead the design, development, and implementation of sophisticated machine learning models and statistical analyses to solve complex business problems.
• Mentor and guide a team of data scientists, providing technical leadership, code reviews, and career development support.
• Collaborate with product management and engineering teams to identify opportunities for data-driven product enhancements and new features.
• Translate business requirements into technical specifications and data science projects.
• Develop and maintain data pipelines, ensuring data quality and accessibility for analytical purposes.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in machine learning, AI, and data science, and evaluate their potential application.
• Design and conduct experiments to test hypotheses and measure the impact of new features or models.
• Contribute to the development of data strategy and roadmaps.
• Champion data-driven decision-making across the organization.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of progressive experience in data science and machine learning, with at least 2 years in a leadership or mentorship role.
• Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
• Strong proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies and distributed computing frameworks (e.g., Spark, Hadoop).
• Familiarity with SQL and NoSQL databases.
• Excellent understanding of statistical concepts and experimental design.
• Strong analytical, problem-solving, and strategic thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Demonstrated ability to lead and inspire a team in a remote setting.

• Define and lead the company's data science strategy and roadmap.
• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Design and conduct experiments to test hypotheses and validate models.
• Build and deploy predictive models and data-driven products.
• Mentor and guide a team of data scientists, fostering their professional development and technical expertise.
• Collaborate closely with business stakeholders to understand requirements and translate them into data science solutions.
• Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Ensure data quality and integrity throughout the analytical process.
• Champion data-driven decision-making across the organization.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
• Minimum of 7 years of experience in data science, with a focus on machine learning and statistical modeling.
• Proven experience in leading data science projects and/or teams.
• Expertise in programming languages such as Python or R, and proficiency with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong understanding of various machine learning techniques (e.g., regression, classification, clustering, deep learning).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey complex ideas effectively.
• Experience working in a remote environment and managing distributed teams is a plus.
• Domain knowledge in (relevant industry, e.g., finance, e-commerce, healthcare) is an advantage.

• Lead the design, development, and deployment of sophisticated machine learning models and data mining solutions.
• Oversee the entire data science lifecycle, from data collection and preprocessing to model evaluation and implementation.
• Identify key business questions and formulate data-driven approaches to address them.
• Analyze large and complex datasets to uncover trends, patterns, and insights that inform strategic decisions.
• Develop and implement predictive models for areas such as customer behavior, market trends, and operational efficiency.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Mentor and coach junior data scientists, fostering their technical and professional growth.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Champion data literacy and a data-driven culture throughout the organization.
• Manage multiple data science projects simultaneously, ensuring timely delivery and high-quality outcomes.
• Evaluate and recommend new tools and technologies to enhance the data science capabilities.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with a proven track record of developing and deploying machine learning models.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL).
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven leadership and team management abilities.
• Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
• Experience in cloud platforms (AWS, Azure, GCP) is a plus.

• Lead the design, implementation, and maintenance of robust and scalable database systems (e.g., SQL Server, Oracle, PostgreSQL).
• Develop and enforce data governance policies and procedures to ensure data quality, consistency, and compliance.
• Oversee database security measures, including access control, encryption, and regular security audits.
• Monitor database performance, identify bottlenecks, and implement optimizations for improved efficiency and speed.
• Develop and manage backup and disaster recovery plans to ensure business continuity.
• Manage data migrations, upgrades, and patching activities with minimal disruption.
• Provide technical leadership and mentorship to the data administration team.
• Collaborate with development teams to ensure efficient database design and query optimization for applications.
• Troubleshoot and resolve complex database-related issues in a timely manner.
• Stay current with emerging database technologies and industry trends.
• Develop and maintain comprehensive documentation for database systems and processes.
• Ensure adherence to data privacy regulations (e.g., GDPR, CCPA).

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• Minimum of 7 years of progressive experience in database administration and management.
• Proven experience with multiple RDBMS platforms and familiarity with NoSQL databases.
• Strong understanding of SQL, stored procedures, scripting, and performance tuning techniques.
• Expertise in database security, backup, and recovery strategies.
• Experience with cloud-based data solutions (AWS, Azure, GCP) is a plus.
• Excellent leadership, problem-solving, and communication skills.
• Ability to manage projects and work independently in a remote setting.
• Certifications such as MCSE: Data Management and Analytics or Oracle Certified Professional are advantageous.
• Familiarity with data warehousing concepts and ETL processes.

• Lead and mentor a team of data scientists and analysts.
• Develop and implement advanced machine learning and statistical models to solve business problems.
• Design and execute experiments to test hypotheses and validate model performance.
• Extract, clean, and transform large, complex datasets from various sources.
• Build data pipelines and deploy models into production environments.
• Collaborate with cross-functional teams to identify data-driven opportunities and requirements.
• Communicate complex findings and recommendations to stakeholders at all levels.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Ensure the scalability, reliability, and efficiency of data science solutions.
• Contribute to the development of the company's data strategy and best practices.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science or machine learning, with a minimum of 2 years in a leadership role.
• Expertise in Python or R, and proficiency with libraries such as scikit-learn, TensorFlow, PyTorch, pandas, and NumPy.
• Strong experience with SQL and working with large-scale databases.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Proficiency in data visualization tools (e.g., Tableau, Matplotlib).
• Excellent communication, presentation, and interpersonal skills.
• Proven ability to lead projects and mentor team members.