260 Data Scientist jobs in Bahrain
Data Scientist
Posted 21 days ago
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SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.
Responsibilities:
- Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
- Develop and implement predictive models and machine learning algorithms to solve complex business problems
- Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
- Design and conduct experiments to test hypotheses and validate results
- Communicate findings and recommendations to stakeholders through presentations and reports
- Continuously monitor and improve model performance through regular updates and refinements
- Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
- Build and maintain data pipelines to ensure the availability of data for analysis and reporting
- Work with data engineering teams to ensure data is collected and stored effectively for analysis
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proven experience as a Data Scientist or in a similar analytical role
- Strong programming skills in Python, R, or similar languages
- Proficiency in SQL and experience with relational and non-relational databases
- Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
- Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
- Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
- Excellent analytical and problem-solving skills
- Strong communication skills, both verbal and written, in English and Arabic
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
- SAS Certified Data Scientist
Senior Data Scientist
Posted today
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Junior Data Scientist
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Senior Data Scientist
Posted today
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Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms to address business challenges.
- Perform complex data analysis, identify trends, and derive insights from large datasets using statistical and data mining techniques.
- Collaborate closely with cross-functional teams (product, engineering, marketing) to understand their data needs and provide data-driven recommendations.
- Develop and maintain data pipelines and ETL processes for data acquisition and transformation.
- Communicate complex findings and insights clearly and concisely to both technical and non-technical stakeholders through visualizations and reports.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Mentor junior data scientists and contribute to the growth of the data science practice.
- Conduct A/B testing and experiment design to evaluate product features and marketing campaigns.
- Ensure the quality, integrity, and accessibility of data used for analysis and modeling.
- Contribute to the development of data strategy and best practices.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, machine learning, or statistical modeling.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and big data technologies (e.g., Spark, Hadoop).
- Strong understanding of statistical concepts, experimental design, and hypothesis testing.
- Demonstrated ability to translate business problems into data science solutions.
- Excellent communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Experience working in a remote setting and using collaboration tools effectively.
- Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
- A portfolio of past projects or publications demonstrating expertise is highly valued.
Graduate Data Scientist
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Junior Data Scientist
Posted today
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- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis to identify patterns and trends.
- Contribute to the development and testing of machine learning models.
- Support the creation of data visualizations and reports.
- Collaborate with senior team members on data science projects.
- Research and apply new data science techniques.
- Ensure data accuracy and integrity.
- Document methodologies and findings.
- Participate in team meetings and contribute to discussions.
- Learn and adapt to new tools and technologies.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages like Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and grow in the field of data science.
- Ability to work independently in a remote setting.
- Completed relevant coursework or personal projects in data science.
Graduate Data Scientist
Posted today
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Graduate Data Scientist
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Junior Data Scientist
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Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Collaborate with senior data scientists on the development and implementation of machine learning models.
- Assist in feature engineering and selection for predictive modeling.
- Conduct statistical analysis to test hypotheses and validate findings.
- Visualize data and model results to communicate findings effectively.
- Participate in team meetings and contribute to project discussions.
- Learn and apply various data science tools and programming languages (e.g., Python, R, SQL).
- Assist in documenting data science methodologies and project outcomes.
- Gain exposure to different machine learning algorithms and their applications.
- Support in the deployment and monitoring of developed models.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of fundamental statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Basic knowledge of SQL for data querying.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
Graduate Data Scientist
Posted today
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