1 274 Science jobs in Bahrain

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
  
  

• 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
  
  

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

• Develop and implement crop management plans to optimize yield, quality, and resource efficiency.
• Conduct soil analysis and recommend appropriate fertilization and soil amendment strategies.
• Monitor crop health, identify potential pest and disease issues, and develop integrated management strategies.
• Advise farmers and agricultural stakeholders on best practices in planting, irrigation, harvesting, and post-harvest handling.
• Evaluate and recommend new crop varieties, seeds, and agricultural inputs.
• Conduct field trials and experiments to test new technologies, products, and practices.
• Collect and analyze data related to crop performance, environmental conditions, and farming operations.
• Prepare technical reports, presentations, and recommendations for management and clients.
• Stay informed about the latest research, trends, and regulations in agronomy and crop science.
• Provide training and support to farm workers and agricultural extension agents.
• Promote sustainable and environmentally friendly farming methods.

• Bachelor's or Master's degree in Agronomy, Agriculture, Soil Science, Plant Science, or a related field.
• A minimum of 5 years of experience in agronomy, crop science, or agricultural extension.
• Strong knowledge of crop physiology, soil science, plant pathology, and entomology.
• Experience with data analysis and interpretation related to agricultural production.
• Familiarity with agricultural technologies, including precision agriculture and irrigation systems.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a team environment.
• Proficiency in relevant software for data analysis and reporting.
• Field experience and practical knowledge of local agricultural conditions are highly desirable.
• A commitment to sustainable agriculture and environmental stewardship.

• Develop and implement scientifically sound crop management plans.
• Conduct field research and trials to evaluate new crop varieties, fertilizers, and pest control methods.
• Analyze soil, plant tissue, and water samples to diagnose nutrient deficiencies and health issues.
• Provide expert advice to farmers on optimal planting, irrigation, fertilization, and pest management strategies.
• Monitor crop development and health throughout the growing season, identifying potential risks.
• Promote and implement sustainable and environmentally friendly agricultural practices.
• Educate farmers on the latest advancements in agronomy and agricultural technology.
• Maintain detailed records of field observations, experimental data, and client consultations.
• Collaborate with research institutions and agricultural organizations.
• Evaluate the effectiveness of implemented strategies and recommend adjustments.
• Contribute to the development of regional agricultural best practices.

• Bachelor's or Master's degree in Agronomy, Soil Science, Plant Science, or a related agricultural field.
• 5+ years of experience in agronomy or crop science, preferably with experience in the region.
• Strong knowledge of crop physiology, soil chemistry, entomology, and plant pathology.
• Experience in designing and conducting field trials.
• Proficiency in data analysis and interpretation.
• Familiarity with sustainable agriculture practices and integrated pest management (IPM).
• Excellent observational, analytical, and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to effectively advise farmers.
• Ability to work independently and manage fieldwork effectively.
• Proficiency in using relevant agricultural software and tools.
• Passion for improving agricultural productivity and sustainability.

• Design and conduct field research trials to evaluate crop varieties, fertilizers, pesticides, and cultivation techniques.
• Analyze soil samples to determine nutrient levels, pH, and other factors affecting plant growth.
• Develop and implement comprehensive crop management plans tailored to specific crops and environmental conditions.
• Monitor crop health, identify pests, diseases, and nutrient deficiencies, and recommend appropriate solutions.
• Advise farmers and agricultural stakeholders on best practices for planting, irrigation, fertilization, pest control, and harvesting.
• Collect and interpret data from field trials and farm operations to assess performance and identify areas for improvement.
• Utilize agronomic knowledge and data to provide recommendations for increasing yield and crop quality.
• Stay current with advancements in agronomy, crop science, sustainable agriculture, and agricultural technology.
• Prepare detailed reports on research findings, field observations, and recommendations.
• Collaborate with research institutions, government agencies, and industry partners.
• Provide technical support and training to farm staff and clients on agronomic principles and practices.
• Ensure compliance with environmental regulations and promote sustainable farming methods.
• Manage demonstration plots and farm outreach programs.

• Master's degree or PhD in Agronomy, Crop Science, Soil Science, Plant Science, or a related agricultural field.
• Minimum of 5 years of experience in agronomy, with practical experience in field research and crop management.
• Strong knowledge of plant physiology, soil science, entomology, and plant pathology.
• Experience in designing and executing field trials, collecting, and analyzing agronomic data.
• Familiarity with modern agricultural technologies, including precision agriculture tools and GIS.
• Excellent analytical, problem-solving, and observational skills.
• Strong written and verbal communication skills, with the ability to communicate technical information effectively to diverse audiences.
• Ability to work independently and as part of a team.
• Valid driver's license and willingness to travel extensively to field sites.
• Knowledge of sustainable and organic farming practices is an advantage.
• Proficiency in relevant software for data analysis and reporting.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
• Create data visualizations, charts, and dashboards to communicate findings effectively.
• Support senior analysts in developing reports and presentations for stakeholders.
• Learn and apply data manipulation techniques using software like Excel, SQL, or Python.
• Participate in team meetings to discuss project progress and share findings.
• Contribute to the development of data models and analytical frameworks.
• Help in identifying data quality issues and recommend solutions.
• Gain exposure to business intelligence tools and their application.
• Assist in testing and validating data outputs.
• Follow established data governance and security protocols.
• Engage in learning activities and training sessions to enhance data analysis skills.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Basic understanding of statistical concepts and methods.
• Familiarity with at least one programming language (e.g., Python, R) or database query language (e.g., SQL) is a strong plus.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team in a hybrid environment.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Must be eligible to work in the specified location.
• Enthusiasm for data and its potential to drive business decisions.