1 260 Senior Level Data Scientist jobs in Bahrain
Data Scientist
Posted 8 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
Graduate Data Scientist
Posted today
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Junior Data Scientist
Posted today
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Key Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development and testing of predictive models and machine learning algorithms.
- Collaborate with senior data scientists to refine analytical approaches and methodologies.
- Create data visualizations and reports to communicate findings to the team.
- Participate in team meetings and contribute to project discussions.
- Learn and apply new data science techniques and tools.
- Document methodologies, code, and results.
- Assist in evaluating model performance and identifying areas for improvement.
- Support A/B testing and experimentation design.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Foundational understanding of statistical concepts and machine learning principles.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools.
- Basic knowledge of SQL for data retrieval.
- Strong analytical and problem-solving skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Good communication and teamwork skills.
- Ability to work independently and manage tasks effectively in a remote setting.
Junior Data Scientist
Posted today
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Key responsibilities include:
- Assisting in the collection, cleaning, and pre-processing of large datasets.
- Performing exploratory data analysis to identify patterns and trends.
- Supporting the development and testing of statistical and machine learning models.
- Creating data visualizations and reports to communicate findings effectively.
- Collaborating with team members on data-related projects and tasks.
- Learning and applying new data science tools and techniques.
- Documenting methodologies and results for project reference.
- Participating in team meetings and contributing to project discussions.
- Troubleshooting data issues and assisting in resolving analytical challenges.
- Gaining practical experience in a professional data science environment.
Graduate Data Scientist
Posted today
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Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models for predictive analytics.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Generate reports and visualizations to communicate data-driven insights to technical and non-technical stakeholders.
- Collaborate with senior data scientists on research projects and model validation.
- Contribute to the documentation of data models, algorithms, and methodologies.
- Learn and apply new data science techniques and tools.
- Participate in code reviews and contribute to maintaining code quality.
- Assist in the design and execution of experiments.
- Stay updated with the latest advancements in the field of data science and artificial intelligence.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a closely related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with data manipulation and database querying (SQL).
- Excellent analytical and problem-solving skills.
- Ability to work effectively in a hybrid environment, demonstrating strong self-management for remote tasks.
- Good communication skills, with the ability to articulate technical concepts clearly.
- Eagerness to learn and a proactive attitude towards acquiring new skills.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Understanding of cloud platforms (e.g., AWS, Azure, GCP) is a bonus.
Senior Data Scientist
Posted today
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Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
- 5+ years of experience in data science, with a proven track record of delivering impactful analytical solutions.
- Expertise in statistical modeling, machine learning algorithms, and experimental design.
- Proficiency in Python or R and associated data science libraries.
- Experience with SQL and NoSQL databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Strong data visualization skills (e.g., Tableau, Matplotlib).
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities.
Junior Data Scientist
Posted today
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Graduate Data Scientist
Posted today
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Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Support the development and validation of machine learning models.
- Conduct exploratory data analysis to identify trends and patterns.
- Help create data visualizations and dashboards.
- Contribute to the documentation of data science projects.
- Collaborate with team members on analytical tasks.
- Learn and apply new data science techniques and tools.
- Present findings and insights to the team.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proficiency in Python or R and SQL.
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow).
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively in a team environment.
Junior Data Scientist
Posted today
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Job Description
- Assist senior data scientists in collecting, cleaning, and pre-processing large and complex datasets.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement statistical models and machine learning algorithms for predictive analytics and insights.
- Collaborate on the design and execution of A/B tests and other experiments.
- Visualize data and model results using various tools and techniques, preparing clear and concise reports.
- Support the development and deployment of data-driven features and products.
- Write efficient and well-documented code in Python or R for data analysis and model building.
- Stay updated with the latest advancements in data science and machine learning.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Contribute to the continuous improvement of data infrastructure and processes.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Basic knowledge of SQL for data extraction and manipulation.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills, both written and verbal, with the ability to explain technical concepts to a non-technical audience.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work collaboratively in a team environment.
Graduate Data Scientist
Posted today
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Internship Focus Areas:
- Data cleaning and preprocessing.
- Exploratory data analysis and visualization.
- Assisting in the development of machine learning models.
- Contributing to data-driven reports and presentations.
- Learning and applying data science tools and techniques.
- Collaborating with senior data scientists on various projects.