1 939 Senior Data Scientist jobs in Bahrain
Junior Data Scientist - Big Data Analytics
Posted 24 days ago
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Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to understand data characteristics and identify trends.
- Support the development and implementation of statistical models and machine learning algorithms.
- Help in evaluating model performance and identifying areas for improvement.
- Create visualizations and reports to communicate findings to the team.
- Collaborate with senior data scientists and engineers on ongoing projects.
- Learn and apply new data science techniques and tools.
- Assist in the documentation of data sets, methodologies, and results.
- Participate in team meetings and contribute to problem-solving discussions.
- Gain practical experience in big data technologies and cloud platforms.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Exposure to data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of machine learning concepts and algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and develop skills in data science.
- Good communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote environment.
- This internship is fully remote and open to individuals globally, though the operational oversight is linked to our presence in Sanad, Capital, BH .
Data Scientist
Posted 6 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 24 days ago
Job Viewed
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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Job Description
- Assisting in the collection, cleaning, and preprocessing of diverse datasets.
- Performing exploratory data analysis to identify patterns and trends.
- Supporting the development and validation of statistical models and machine learning algorithms.
- Creating clear and informative data visualizations to communicate findings.
- Collaborating with team members on data-related projects and initiatives.
- Researching and implementing new data science techniques and tools.
- Documenting data processes, methodologies, and results.
- Contributing to team meetings and brainstorming sessions.
- Learning and applying best practices in data management and analysis.
- 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.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
- Experience with SQL for database querying is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good communication skills, both written and verbal.
- 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
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Help in evaluating model performance and making recommendations for improvements.
- Create 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.
- Assist in documenting data processes and analysis methodologies.
- Collaborate with other interns and team members on assigned tasks.
- Gain practical experience in a professional data science environment.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge 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 data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Basic understanding of database concepts and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Good written and verbal communication skills.
- Eagerness to learn and adapt to new technologies and challenges.
- Ability to work effectively both independently and as part of a team in a hybrid setting.
- Strong attention to detail.
Junior Data Scientist
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and transforming data 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 and dashboards to communicate insights.
- Collaborate with senior team members on data-related projects.
- Document methodologies, code, and findings.
- Contribute to the testing and validation of data models.
- Learn and apply new data science techniques and tools.
- Assist in preparing reports and presentations of analytical results.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- Proficiency in Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning concepts and algorithms (e.g., regression, classification, clustering).
- Basic understanding of SQL for data querying.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and data accuracy.
- Good communication and interpersonal skills.
- Eagerness to learn and adapt in a fast-paced environment.
- Previous internship or project experience in data analysis is a plus.
Graduate Data Scientist
Posted today
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Job Description
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preparing large datasets for analysis.
- Develop and implement machine learning models for predictive analytics and pattern recognition.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Visualize data and communicate findings effectively through reports and presentations.
- Support the development and deployment of data-driven solutions.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with cross-functional teams to understand data needs and deliver relevant insights.
- Participate in code reviews and contribute to the development of robust data pipelines.
- Stay current with advancements in data science, machine learning, and artificial intelligence.
- Assist in the evaluation and testing of new data science tools and platforms.
- Contribute to documentation of data processes, models, and findings.
- Work within a remote team environment, actively participating in virtual meetings and discussions.
- Gain exposure to various data science tools and programming languages.
- Apply problem-solving skills to real-world business challenges.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in programming languages 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).
- Experience with SQL for database querying.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced, remote environment.
- Demonstrated ability to work independently and manage time effectively.
- A passion for data and uncovering insights.
- Previous internship or project experience in data analysis or machine learning is a plus.
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Lead Data Scientist
Posted today
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Job Description
Responsibilities:
- Lead the design and development of advanced machine learning models and statistical algorithms.
- Mentor and guide a team of data scientists, fostering a culture of learning and innovation.
- Collaborate with business units to identify opportunities for data-driven solutions.
- Perform complex data analysis, interpretation, and visualization to derive actionable insights.
- Develop and maintain data pipelines and ensure data quality and integrity.
- Communicate findings and recommendations to senior management and stakeholders.
- Stay abreast of the latest advancements in data science and artificial intelligence.
- Contribute to the overall data strategy and roadmap of the organization.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 8+ years of progressive experience in data science and machine learning.
- Expertise in Python or R, including advanced statistical and ML libraries.
- Proficiency with SQL and experience with big data platforms (Spark, Hadoop).
- Strong understanding of data mining, predictive modeling, and statistical analysis.
- Demonstrated experience in leading data science projects and teams.
- Excellent problem-solving, critical thinking, and communication skills.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Graduate Data Scientist
Posted today
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Junior Data Scientist
Posted today
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