1499 Senior Data Scientist jobs in Manama
Data Scientist
Posted 24 days ago
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Job Description
Responsibilities:
- Collect, clean, and pre-process large datasets from various sources.
- Develop and implement statistical models and machine learning algorithms to identify trends, patterns, and insights.
- Design and conduct experiments to test hypotheses and validate models.
- Build predictive models to forecast future outcomes and support strategic planning.
- Develop data visualizations and dashboards to communicate findings effectively.
- Collaborate with engineering and product teams to integrate data-driven solutions.
- Evaluate and improve the performance of existing models and algorithms.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data infrastructure and best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proven experience as a Data Scientist or in a similar analytical role.
- Strong programming skills in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch.
- Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Solid understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities to convey technical information to diverse audiences.
- Ability to work effectively in a collaborative team environment.
This role offers a competitive salary, comprehensive benefits, and the opportunity to work on cutting-edge data projects in a stimulating environment. If you are passionate about uncovering insights from data and driving business value, we encourage you to apply.
Graduate Data Scientist
Posted today
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Location: Manama, Capital, BH
Graduate Data Scientist
Posted today
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Junior Data Scientist
Posted today
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Graduate Data Scientist
Posted today
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Graduate Data Scientist
Posted 1 day ago
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Job Description
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and data mining techniques.
- Proficiency in programming languages such as Python or R.
- Experience with data visualization tools and libraries.
- Familiarity with database querying languages (e.g., SQL).
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote setting.
- Eagerness to learn and adapt to new technologies.
Junior Data Scientist
Posted 1 day ago
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Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of machine learning models.
- Create data visualizations to effectively communicate findings and insights.
- Contribute to the testing and validation of analytical models.
- Collaborate with senior data scientists and analysts on project tasks.
- Learn and apply statistical techniques and algorithms.
- Document data analysis processes and results.
- Assist in preparing reports and presentations for stakeholders.
- Gain exposure to various data science tools and technologies.
- Help identify opportunities for data utilization and improvement.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- Foundational knowledge of statistical concepts and methods.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
- Basic understanding of machine learning algorithms.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Eagerness to learn and adapt to new technologies.
- Good written and verbal communication skills.
- Ability to work effectively in a team environment.
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Senior Data Scientist
Posted 2 days ago
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Job Description
Responsibilities:
- Develop and deploy advanced statistical models and machine learning algorithms.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Design and conduct experiments to test hypotheses and validate model performance.
- Collaborate with stakeholders to define business problems and translate them into data science projects.
- Clean, transform, and prepare data for analysis and modeling.
- Communicate complex findings and recommendations clearly to technical and non-technical audiences.
- Stay up-to-date with the latest advancements in data science, machine learning, and AI.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Develop data visualizations and reports to support decision-making.
- Ensure the ethical and responsible use of data.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science or a related analytical role.
- Strong proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and big data technologies (e.g., Spark, Hadoop).
- Solid understanding of machine learning algorithms, statistical modeling, and experimental design.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
Lead Data Scientist
Posted 2 days ago
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Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and analytical solutions.
- Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
- Identify business challenges and opportunities where data science can provide solutions.
- Extract, clean, and transform large, complex datasets from various sources.
- Perform rigorous statistical analysis and hypothesis testing.
- Develop and deploy predictive models for forecasting, classification, and clustering.
- Communicate complex analytical findings and recommendations clearly to stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Collaborate with engineering and product teams to integrate data science models into production systems.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science or machine learning, with a proven track record of leading projects and teams.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and communication skills.
- Ability to translate business needs into data science problems and vice-versa.
Graduate Data Scientist
Posted 3 days ago
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Job Description
As a Graduate Data Scientist, your responsibilities will include:
- Assisting senior data scientists in data cleaning, preprocessing, and feature engineering.
- Developing and implementing statistical models and machine learning algorithms to solve business problems.
- Conducting exploratory data analysis to identify trends, patterns, and anomalies.
- Visualizing data and model results to effectively communicate findings to stakeholders.
- Participating in code reviews and contributing to the development of robust data pipelines.
- Collaborating with cross-functional teams to understand data needs and deliver actionable insights.
- Documenting methodologies, code, and findings for future reference and reproducibility.
- Staying updated with the latest research and techniques in data science and machine learning.
- Contributing to the overall data strategy and innovation efforts of the company.
- Presenting project outcomes and insights to team members and management.