2 053 Senior Level Data Scientist jobs in Bahrain
Data Scientist
Posted 3 days ago
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Job Description
Key responsibilities include collecting and cleaning large datasets from various sources, performing statistical analysis, and identifying trends and patterns. You will develop and implement machine learning algorithms for tasks such as classification, regression, clustering, and natural language processing. The role involves evaluating model performance, communicating findings effectively through visualizations and reports, and collaborating with software engineers to integrate models into production systems. Experience with A/B testing and experimental design is also important.
This is an exciting opportunity for a data-passionate individual to work on impactful projects and contribute to cutting-edge data science initiatives. The ideal candidate will possess strong quantitative skills, proficiency in programming languages commonly used in data science (Python, R), and experience with various machine learning libraries and frameworks. Excellent communication and presentation skills are essential for conveying complex findings to both technical and non-technical audiences. We are looking for someone who can work collaboratively in a hybrid environment and drive innovation through data.
**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.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with SQL and database technologies.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent data visualization and communication skills.
- Ability to work independently and as part of a collaborative team.
- Experience in the Nuwaidrat, Southern, BH area is beneficial.
If you are eager to leverage data to solve challenging problems and drive business growth, we encourage you to apply.
Data Scientist
Posted 21 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.
Data Scientist, Machine Learning
Posted 11 days ago
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Job Description
Responsibilities:
- Develop, train, and deploy machine learning models to address business challenges.
- Perform data wrangling, feature engineering, and exploratory data analysis on large datasets.
- Apply statistical modeling, machine learning algorithms, and data mining techniques.
- Design and conduct experiments to evaluate model performance and effectiveness.
- Collaborate with engineering teams to integrate ML models into production systems.
- Visualize and communicate complex data insights and model results.
- Stay current with the latest research and trends in machine learning and AI.
- Contribute to the development of data science best practices and methodologies.
- Work closely with stakeholders to define project requirements and deliverables.
- Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist with a focus on Machine Learning.
- Strong proficiency in Python or R and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data manipulation and analysis tools (e.g., SQL, Pandas).
- Solid understanding of statistical modeling and various machine learning algorithms.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and data visualization abilities.
- Ability to work effectively in a hybrid work environment.
Data Scientist - Machine Learning
Posted 15 days ago
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Job Description
Key Responsibilities:
- Design, develop, and deploy machine learning models for predictive analytics, classification, clustering, and other applications.
- Clean, process, and analyze large, complex datasets from various sources.
- Identify patterns, trends, and insights within data to inform business strategy and product development.
- Collaborate with cross-functional teams, including engineers, product managers, and business analysts, to understand requirements and deliver data-driven solutions.
- Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science techniques.
- Develop and maintain data pipelines and feature engineering processes.
- Evaluate and optimize model performance, ensuring accuracy, scalability, and robustness.
- Communicate complex technical findings and recommendations clearly to both technical and non-technical audiences through visualizations and reports.
- Contribute to the development of data infrastructure and tooling.
- Mentor junior data scientists and share knowledge within the team.
- Conduct A/B testing and other experimental designs to validate hypotheses.
- Ensure data privacy and security best practices are followed.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proven experience as a Data Scientist with a focus on machine learning.
- Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Deep understanding of various machine learning algorithms and their applications.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with experience in a hybrid work environment.
- Ability to translate business problems into analytical solutions.
- Experience with cloud platforms (AWS, Azure, GCP) is desirable.
- Knowledge of SQL and database management.
This is an exciting opportunity to work at the forefront of data science and machine learning, contributing to innovative solutions in a dynamic environment. If you are a skilled Data Scientist passionate about leveraging data to drive business impact, we encourage you to apply. The role requires a hybrid presence in Muharraq, Muharraq, BH .
Graduate Data Scientist
Posted today
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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.
Graduate Data Scientist
Posted today
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Job Description
Key Responsibilities:
- Assist senior data scientists in data collection, cleaning, and preprocessing from various sources.
- Develop and implement statistical models and machine learning algorithms under guidance.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Contribute to the visualization of data and the presentation of findings.
- Write and document code for data analysis and model development.
- Collaborate with team members on research and development projects.
- Participate in team meetings and contribute ideas for new analytical approaches.
- Assist in the evaluation and testing of developed models.
- Learn and apply advanced data science techniques and tools.
- Stay updated on current trends and best practices in the data science field.
Qualifications:
- Recently graduated with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a closely related quantitative field.
- Strong foundation in statistical concepts and machine learning principles.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A portfolio of personal projects or academic research demonstrating data science skills is a plus.
This is a fully remote internship, allowing you to work from your chosen location. The company has a significant operational presence related to Salmabad, Northern, BH , and offers an immersive experience in advanced data science within a supportive and collaborative remote environment.
Graduate Data Scientist
Posted today
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Apply statistical methods and machine learning algorithms to identify patterns, trends, and insights from data.
- Develop and implement predictive models and data visualizations to support business decision-making.
- Collaborate with senior data scientists and other team members on various data-driven projects.
- Document methodologies, findings, and results clearly and concisely.
- Contribute to the exploration and evaluation of new data science tools and technologies.
- Participate in team meetings and present findings to stakeholders.
- Learn and apply best practices in data management, model development, and deployment.
- Assist in the A/B testing and evaluation of new features or strategies.
- Develop reports and dashboards to communicate key performance indicators.
This fully remote internship is designed for individuals who are passionate about data and possess strong analytical and problem-solving skills. You should be a proactive learner, comfortable working independently, and eager to contribute to team goals. Excellent communication skills are necessary for collaborating effectively with a distributed team and presenting findings. This role provides a unique platform to hone your technical skills, understand business applications of data science, and build a strong professional network. If you are a recent graduate looking for a challenging and rewarding remote experience in data science, this is the perfect stepping stone for your career.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
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Junior Data Scientist
Posted today
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis to identify trends and patterns.
- Support the development and implementation of machine learning models.
- Contribute to the creation of data visualizations and dashboards to communicate findings.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with team members on project tasks and documentation.
- Participate in code reviews and contribute to best practices.
- Stay updated with the latest advancements in data science and machine learning.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Basic understanding of programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Exposure to machine learning concepts and algorithms is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and ability to work with large datasets.
- Good communication skills, both written and verbal.
- Eagerness to learn and adapt in a fast-paced environment.
Graduate Data Scientist
Posted today
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to understand data patterns, trends, and anomalies.
- Contribute to feature engineering and selection for machine learning models.
- Develop, train, and evaluate machine learning models under the guidance of senior data scientists.
- Implement and test algorithms for classification, regression, clustering, and other data mining tasks.
- Assist in data visualization to communicate findings and insights effectively.
- Document methodologies, code, and results clearly and concisely.
- Collaborate with team members on project tasks and share knowledge.
- Stay updated with the latest advancements and research in data science and machine learning.
- Support the deployment and monitoring of data science models.
- Participate in team meetings and contribute to project discussions.
- Learn and apply industry-standard data science tools and programming languages (e.g., Python, R, SQL).
- Help in identifying potential data sources and defining data requirements for projects.
- Contribute to the development of data-driven products and solutions.
- 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.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages 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 and database management.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote setting.
- This internship opportunity is relevant to projects impacting **Hamad Town, Northern, BH**, but is fully remote.
Graduate Data Scientist
Posted today
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Job Description
- Data manipulation and analysis using Python or R.
- Machine learning algorithms and model building (e.g., regression, classification, clustering).
- Data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
- Statistical modeling and hypothesis testing.
- Database querying using SQL.
- Understanding of data warehousing concepts.
- Feature engineering and model evaluation.
- Collaboration with business stakeholders to define data-driven solutions.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning principles.
- Proficiency in at least one programming language (e.g., Python, R).
- Familiarity with data analysis libraries (e.g., Pandas, NumPy).
- Basic knowledge of SQL databases.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Enthusiasm for continuous learning and developing new skills.