Explore exciting data scientist job opportunities. Data scientists are in high demand across various sectors, driving innovation and strategic decision-making through data analysis and modeling. These professionals work with large datasets to extract meaningful insights, develop predictive models, and communicate findings to stakeholders. 1 668 Data Scientist jobs in Bahrain
Data Scientist
Manama, Capital
SWATX
Posted 13 days ago
Job Viewed
Job Description
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
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Data Scientist
23242 Manama, Capital
BHD120000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is looking for a talented and analytical Data Scientist to join their team based in **Manama, Capital, BH**. This role is crucial for extracting actionable insights from large, complex datasets to drive business decisions and product development. You will be responsible for developing and implementing advanced statistical models, machine learning algorithms, and predictive analytics tools. The ideal candidate will possess strong programming skills, a deep understanding of data mining techniques, and the ability to communicate complex findings to both technical and non-technical audiences. This is an in-office position, fostering close collaboration and dynamic team interaction. We are seeking a proactive individual eager to tackle challenging data problems and contribute to innovation.
Responsibilities:
Qualifications:
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.
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.
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1
Junior Data Scientist
7007 Southern, Southern
BHD65000 Annually
WhatJobs
Posted today
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Job Description
Our client, a leading innovator in data analytics and AI solutions, is seeking an enthusiastic and bright Junior Data Scientist to join their expanding, fully remote team. This entry-level position is an excellent opportunity for recent graduates or individuals with foundational data science knowledge to gain practical experience and contribute to impactful projects. You will work under the guidance of senior data scientists, assisting in the collection, cleaning, analysis, and interpretation of large datasets. Your contributions will help in uncovering insights, building predictive models, and driving data-informed decision-making across the organization. You will be involved in various stages of the data science lifecycle, from data wrangling to model evaluation.
Key responsibilities include:
Key responsibilities include:
- Assisting in the collection, cleaning, and preprocessing of diverse datasets.
- Performing exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Developing and implementing statistical models and machine learning algorithms under supervision.
- Visualizing data and model results to communicate findings effectively.
- Collaborating with senior data scientists and engineers on project goals.
- Contributing to the documentation of data sources, methodologies, and findings.
- Learning and applying new data science techniques and tools.
- Supporting the testing and validation of data models.
- Participating in team meetings and contributing to discussions on analytical approaches.
- Ensuring data integrity and accuracy throughout the analysis process.
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist
89012 Saar, Northern
BHD70000 Annually
WhatJobs
Posted today
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Job Description
Our client, a leading financial services institution, is seeking a highly analytical and innovative Senior Data Scientist to join their advanced analytics team. This role, based in Saar, Northern, BH , offers a hybrid work arrangement, blending the benefits of in-office collaboration with remote flexibility. You will play a key role in extracting actionable insights from large, complex datasets to drive business strategy, enhance customer experiences, and optimize operational efficiency. The ideal candidate will possess a strong background in statistical modeling, machine learning, data mining, and a proven ability to translate complex data findings into clear business recommendations. This is an exciting opportunity to work on challenging data problems and make a tangible impact within a prominent organization.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical models, machine learning algorithms, and predictive analytics solutions.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Design and conduct experiments to test hypotheses and evaluate the effectiveness of data-driven initiatives.
- Collaborate with business stakeholders to understand their needs and translate them into data science projects.
- Build and maintain data pipelines and infrastructure for data collection, processing, and storage.
- Develop dashboards and visualizations to communicate key findings and insights to technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Evaluate and recommend new tools, technologies, and methodologies for data analysis and modeling.
- Ensure data quality, integrity, and ethical use of data.
- Develop and implement A/B testing frameworks for product and marketing initiatives.
- Contribute to the development of data-driven strategies across the organization.
- Document methodologies, findings, and model performance.
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, statistical modeling, or machine learning.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Experience with SQL and working with large relational and NoSQL databases.
- Strong understanding of statistical concepts, hypothesis testing, and experimental design.
- Proven experience with various machine learning techniques, including regression, classification, clustering, and deep learning.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to business stakeholders.
- Ability to work effectively in a collaborative team environment.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
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3
Graduate Data Scientist
1082 Tubli
BHD3000 Annually
WhatJobs
Posted today
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Job Description
Our client, a forward-thinking analytics firm, is actively recruiting ambitious and bright graduates for a Graduate Data Scientist position in A'ali, Northern, BH . This program is designed to immerse recent graduates into the world of data science, providing hands-on experience with real-world challenges. You will work alongside seasoned data scientists and analysts, contributing to impactful projects that drive business insights and strategic decision-making. Responsibilities will include data cleaning and preparation, exploratory data analysis, developing predictive models, and communicating findings through compelling visualizations and reports. The ideal candidate will possess a strong quantitative background, a curious mind, and a passion for uncovering patterns and insights within complex datasets.
Key Responsibilities:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop, test, and deploy statistical models and machine learning algorithms.
- Visualize data and present findings in a clear and understandable format.
- Collaborate with team members to understand business requirements and translate them into data-driven solutions.
- Contribute to the development of data pipelines and analytical frameworks.
- Stay updated with the latest advancements in data science and machine learning techniques.
- Document methodologies, code, and findings thoroughly.
- Participate in team meetings and present project updates.
- Learn and apply industry best practices for data governance and ethics.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong understanding of statistical concepts and modeling techniques.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Exposure to machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey technical information to non-technical audiences.
- Ability to work effectively both independently and as part of a team.
- A genuine enthusiasm for data and a proactive learning attitude.
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Scientist
22007 Riffa, Southern
BHD130000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a cutting-edge research and development firm, is seeking an exceptional Senior Data Scientist to join their fully remote team. This role is instrumental in leveraging advanced analytical techniques and machine learning models to drive innovation and solve complex scientific challenges. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Physics, with extensive experience in data mining, predictive modeling, and statistical analysis. You will be responsible for designing and implementing data-driven solutions, extracting actionable insights from large datasets, and collaborating with cross-functional research teams to translate findings into tangible outcomes. This remote position requires a highly analytical thinker with strong programming skills and the ability to communicate complex technical concepts clearly.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement sophisticated machine learning models and algorithms to address complex research questions.
- Conduct in-depth data analysis, exploring large datasets to identify trends, patterns, and anomalies.
- Extract, clean, and transform data from various sources, ensuring data quality and integrity.
- Develop predictive models and forecasting tools to support strategic decision-making.
- Visualize complex data sets and present findings clearly and concisely to technical and non-technical audiences.
- Collaborate closely with researchers, engineers, and domain experts to define project requirements and deliver data-driven solutions.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of research methodologies and the scientific direction of projects.
- Mentor junior data scientists and contribute to building a strong data science culture within the organization.
- Ensure reproducibility and scalability of analytical methods and models.
- Document methodologies, code, and results thoroughly.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
- Minimum of 7 years of experience in data science, machine learning, or advanced analytics.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong understanding of statistical modeling, experimental design, and hypothesis testing.
- Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL).
- Proven ability to develop and deploy machine learning models in a production environment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts effectively.
- Experience working in a research and development setting is highly desirable.
- Ability to work independently and collaboratively in a remote team environment.
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5
Graduate Data Scientist
601 Isa Town, Northern
BHD65000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is revolutionizing the industry through data and is actively seeking bright, ambitious Graduate Data Scientists to join their fully remote team. This is an unparalleled opportunity to launch your career in a fast-paced, innovative environment where you can apply your academic knowledge to real-world business challenges. As a Graduate Data Scientist, you will work alongside experienced professionals, contributing to data analysis, model development, and insight generation. You will gain exposure to various machine learning techniques, statistical modeling, and data visualization tools. Responsibilities include collecting, cleaning, and processing large datasets; building predictive models; evaluating model performance; and communicating findings to stakeholders through clear reports and presentations. We are looking for individuals with a strong analytical mindset, a passion for data, and excellent problem-solving skills. A solid understanding of programming languages like Python or R, and familiarity with data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) are highly valued. This role is fully remote, providing the flexibility to work from anywhere while being an integral part of our client's collaborative data science community. We foster a culture of continuous learning and encourage our graduates to explore new techniques and contribute innovative ideas. If you are eager to learn, drive impact through data, and are looking for a challenging and rewarding start to your career, this is the perfect fit. The opportunity to work on diverse projects, develop cutting-edge models, and grow your expertise within a supportive and forward-thinking organization awaits you. Our client is committed to diversity and inclusion, and we welcome applications from all qualified candidates who are passionate about data science and eager to make a difference.
Responsibilities:
Responsibilities:
- Collect, clean, and transform large datasets.
- Develop and implement machine learning models.
- Perform statistical analysis and hypothesis testing.
- Create data visualizations to communicate insights.
- Collaborate with cross-functional teams to understand data needs.
- Evaluate and improve model performance.
- Document methodologies, findings, and code.
- Present results to technical and non-technical audiences.
- Stay up-to-date with the latest advancements in data science and machine learning.
- Contribute to a culture of data-driven decision-making.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong programming skills in Python or R.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Knowledge of machine learning algorithms and statistical modeling.
- Excellent analytical and problem-solving abilities.
- Strong communication and presentation skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and apply new technologies.
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6
Graduate Data Scientist
10001 Manama, Capital
BHD60000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a cutting-edge technology firm specializing in AI and machine learning, is offering an exceptional opportunity for a Graduate Data Scientist to join their team. This is a fully remote internship, providing invaluable hands-on experience in a dynamic and innovative environment. You will work closely with senior data scientists and engineers on challenging projects, applying statistical analysis, machine learning algorithms, and data visualization techniques to extract meaningful insights from large datasets. Responsibilities include data cleaning, preprocessing, feature engineering, model development, and performance evaluation. You will contribute to building predictive models, optimizing algorithms, and developing data-driven solutions that address real-world business problems. A strong foundation in statistics, mathematics, and computer science is essential. Proficiency in programming languages such as Python or R, along with experience in relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), is required. Familiarity with SQL and experience working with large datasets and databases is also important. The ideal candidate is highly analytical, curious, and eager to learn. Excellent problem-solving skills and the ability to communicate technical findings clearly and concisely are crucial for collaborating effectively in a remote setting. This internship offers a unique chance to gain practical experience, develop new skills, and contribute to impactful projects within the field of data science.
This advertiser has chosen not to accept applicants from your region.
7
Graduate Data Scientist
211 Al Daih, Northern
BHD20 Hourly
WhatJobs
Posted today
Job Viewed
Job Description
Our client is actively seeking enthusiastic and driven Graduate Data Scientists to join their innovative, remote-first team. This internship offers an unparalleled opportunity for individuals passionate about data analytics, machine learning, and statistical modeling to gain hands-on experience and contribute to real-world projects. You will work alongside experienced data scientists, learning to collect, clean, analyze, and interpret large datasets to extract meaningful insights. The ideal candidate will possess a strong academic background in a quantitative field such as statistics, computer science, mathematics, or a related discipline, along with a foundational understanding of data science principles. Proficiency in programming languages like Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow) are highly desirable. You will contribute to the development of predictive models, data visualizations, and reports that inform strategic business decisions. This role requires excellent analytical and problem-solving skills, attention to detail, and a strong desire to learn and grow. Effective communication skills are essential, as you will be expected to present findings and collaborate with team members virtually. This internship is designed to provide a comprehensive learning experience, allowing you to apply theoretical knowledge in a practical setting and develop a strong portfolio of work. We encourage applications from candidates who are eager to make a tangible impact and who thrive in a collaborative, remote environment. This is a fantastic stepping stone for a career in data science, offering exposure to diverse projects and cutting-edge technologies.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement statistical models and machine learning algorithms.
- Create data visualizations and dashboards to communicate findings.
- Collaborate with senior data scientists on ongoing projects.
- Contribute to the documentation of data analysis processes and results.
- Learn and apply new data science techniques and tools.
- Participate in team meetings and contribute to discussions.
- Assist in the evaluation and validation of model performance.
- Support the reporting of insights to stakeholders.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning principles.
- Proficiency in Python or R for data analysis.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic knowledge of SQL for data extraction.
- Strong analytical and problem-solving abilities.
- Excellent attention to detail.
- Good written and verbal communication skills.
- Ability to work independently and collaborate effectively in a remote team setting.
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8
Graduate Data Scientist
901 Saar, Northern
BHD40000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is excited to offer an exceptional opportunity for ambitious and motivated graduates to join their innovative team as Graduate Data Scientists. This is a fully remote, full-time internship designed to provide comprehensive training and hands-on experience in the field of data science. You will work alongside experienced professionals, contributing to real-world projects and developing essential skills in data analysis, machine learning, and data visualization. This program is ideal for individuals eager to launch their career in a dynamic and intellectually stimulating environment. The internship, while connected to Saar, Northern, BH , is a remote opportunity, enabling you to participate from any location. Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement machine learning models under the guidance of senior data scientists.
- Create data visualizations and reports to communicate findings to stakeholders.
- Collaborate with team members on data-driven projects.
- Learn and apply various statistical techniques and data mining methods.
- Assist in testing and validating model performance.
- Participate in team meetings and contribute to project discussions.
- Shadow senior data scientists to gain practical insights into the data science workflow.
- Help maintain documentation for data sets, models, and processes.
- Recent graduate with a 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 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 data visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of SQL for database querying.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and develop skills in data science.
- Ability to work independently and manage time effectively in a remote setting.
- Good written and verbal communication skills.
- Enthusiasm for working with data and uncovering insights.
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