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. 451 Data Scientist jobs in Bahrain
Data Scientist
Manama, Capital
SWATX
Posted 4 days ago
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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 - Machine Learning
7071 Bilad Al Qadeem, Capital
BHD100000 Annually
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Our client is looking for a highly skilled Data Scientist with expertise in Machine Learning to join their innovative research team in Salmabad, Northern, BH . This role is crucial for developing and implementing advanced analytical models and algorithms to extract insights from complex datasets. The Data Scientist will be responsible for the entire machine learning pipeline, from data collection and preprocessing to model training, evaluation, and deployment. You will collaborate with domain experts and engineers to identify business problems that can be solved with data-driven approaches and translate those into analytical projects. Key responsibilities include building predictive models, developing recommendation systems, and designing experiments to test hypotheses. The ideal candidate possesses a strong background in statistics, computer science, and machine learning techniques, with hands-on experience in programming languages like Python or R and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Excellent problem-solving skills, a passion for continuous learning, and the ability to communicate complex findings to both technical and non-technical audiences are essential. This position requires a rigorous, analytical mindset and a commitment to driving innovation through data.
Qualifications:
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
- Minimum of 4 years of experience as a Data Scientist or in a similar analytical role.
- Proven experience in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
- Proficiency in Python or R, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch.
- Strong understanding of statistical concepts and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent data visualization and communication skills, with the ability to present findings clearly.
- Ability to work independently and as part of a collaborative team.
- Strong SQL skills for data extraction and manipulation.
- A passion for uncovering insights and solving complex problems using data.
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1
Graduate Data Scientist
120 Hamala, Northern
BHD25 Hourly
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Our client, a leading financial services institution, is offering an exciting internship opportunity for an aspiring Graduate Data Scientist. This hybrid role provides invaluable hands-on experience in a professional setting, blending remote learning with essential in-office collaboration. You will work alongside a team of experienced data scientists, contributing to real-world projects that leverage advanced analytical techniques to drive business insights. The ideal candidate is a recent graduate with a strong academic background in data science, statistics, mathematics, computer science, or a related quantitative field. You should possess a foundational understanding of statistical modeling, machine learning algorithms, and data manipulation techniques. Responsibilities include data cleaning and preprocessing, exploratory data analysis, assisting in the development and testing of predictive models, and visualizing data to communicate findings effectively. Experience with programming languages such as Python or R, and familiarity with SQL databases, are essential. We are looking for highly motivated individuals with a passion for data, excellent analytical skills, and a desire to learn. The ability to work both independently and collaboratively within a team environment is crucial. This internship is an excellent stepping stone for a career in data science, offering exposure to diverse datasets and analytical challenges within the financial sector. Join our client and gain practical experience that will set you apart in the job market.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Perform exploratory data analysis (EDA).
- Support the development of machine learning models.
- Collaborate on data visualization and reporting.
- Learn and apply statistical modeling techniques.
- Contribute to data-driven projects under supervision.
- Participate in team meetings and knowledge sharing sessions.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in Python or R for data analysis.
- Familiarity with SQL and database concepts.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
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2
Senior Data Scientist
90210 Askar, Southern
BHD120000 Annually
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Our client, a cutting-edge research institution, is seeking a highly skilled Senior Data Scientist to join their innovative team. This role offers a hybrid work arrangement, blending the flexibility of remote work with collaborative in-office sessions. You will be at the forefront of scientific discovery, leveraging advanced analytical techniques and machine learning algorithms to extract actionable insights from complex datasets. Your work will directly contribute to groundbreaking research and development projects.
Responsibilities:
Responsibilities:
- Design, develop, and implement statistical models and machine learning algorithms to address complex scientific research questions.
- Clean, process, and transform large, complex datasets from various sources.
- Identify patterns, trends, and anomalies in data to generate hypotheses and actionable insights.
- Develop predictive models to forecast outcomes and support decision-making in research projects.
- Collaborate closely with researchers, engineers, and domain experts to understand their data needs and translate them into analytical solutions.
- Communicate complex findings and methodologies effectively to both technical and non-technical stakeholders through reports, visualizations, and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data infrastructure and best practices within the organization.
- Mentor junior data scientists and contribute to a culture of learning and innovation.
- Evaluate and implement new tools and technologies to enhance data analysis capabilities.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science or a related analytical role, with a strong focus on scientific research.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning techniques (supervised and unsupervised learning), and experimental design.
- Experience with SQL and NoSQL databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
- Proven ability to translate business problems into analytical frameworks.
- Strong communication and collaboration skills, with the ability to work effectively in a hybrid team environment.
- Experience working with cloud platforms (AWS, Azure, GCP) is an advantage.
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3
Senior Data Scientist
604, BH Bilad Al Qadeem, Capital
BHD95000 Annually
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Our client is seeking a highly skilled and experienced Senior Data Scientist to join their advanced analytics team. This fully remote role will involve leveraging vast datasets to extract actionable insights, build predictive models, and drive data-informed decision-making across the organization. You will be responsible for the entire data science lifecycle, from data exploration and preprocessing to model development, validation, and deployment. The ideal candidate will possess a strong foundation in statistics, machine learning, and programming, with a proven ability to translate complex data into business value.
Key responsibilities include designing and implementing machine learning algorithms, conducting statistical analysis, developing data visualizations, and communicating findings to both technical and non-technical stakeholders. Collaboration with engineering and product teams to integrate data science solutions into existing platforms will be a key aspect of the role. Qualifications include a Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, along with a minimum of 5 years of professional experience as a Data Scientist. Proficiency in programming languages like Python or R, experience with SQL and NoSQL databases, and familiarity with big data technologies (e.g., Spark, Hadoop) are essential. Knowledge of cloud platforms (AWS, Azure, GCP) and experience with deep learning frameworks are highly desirable. Strong analytical, problem-solving, and communication skills are crucial for success in this challenging and rewarding remote position.
Key responsibilities include designing and implementing machine learning algorithms, conducting statistical analysis, developing data visualizations, and communicating findings to both technical and non-technical stakeholders. Collaboration with engineering and product teams to integrate data science solutions into existing platforms will be a key aspect of the role. Qualifications include a Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, along with a minimum of 5 years of professional experience as a Data Scientist. Proficiency in programming languages like Python or R, experience with SQL and NoSQL databases, and familiarity with big data technologies (e.g., Spark, Hadoop) are essential. Knowledge of cloud platforms (AWS, Azure, GCP) and experience with deep learning frameworks are highly desirable. Strong analytical, problem-solving, and communication skills are crucial for success in this challenging and rewarding remote position.
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4
Agricultural Data Scientist
709 Al Jasra
BHD90000 Annually
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We are seeking an innovative Agricultural Data Scientist to join our fully remote team, contributing to the advancement of sustainable and efficient farming practices. This role offers a unique opportunity to leverage data and analytics to solve complex challenges in the agricultural sector, from optimizing crop yields to improving resource management. As an Agricultural Data Scientist, you will be responsible for collecting, cleaning, and analyzing vast datasets related to soil conditions, weather patterns, crop health, pest infestation, and yield performance. Your work will involve developing predictive models, implementing machine learning algorithms, and creating data visualizations to provide actionable insights for farmers and agricultural organizations. You will collaborate closely with agronomists, researchers, and technology developers to translate data-driven findings into practical applications that enhance productivity and minimize environmental impact. Key responsibilities include exploring new data sources, designing experiments to test hypotheses, and evaluating the effectiveness of various agricultural interventions. You will also contribute to the development of smart farming technologies and precision agriculture solutions. The ideal candidate will possess a Master's or Ph.D. in Agricultural Science, Data Science, Statistics, Computer Science, or a related field, with a strong emphasis on quantitative analysis. Proven experience in data mining, statistical modeling, machine learning, and programming languages such as Python or R is essential. Familiarity with agricultural principles and practices, as well as GIS or remote sensing data, would be a significant advantage. Excellent communication skills are required to effectively convey complex technical information to a non-technical audience. This remote position offers a rewarding opportunity to make a tangible difference in the future of agriculture.
Responsibilities:
Responsibilities:
- Collect, clean, and analyze agricultural datasets (e.g., weather, soil, crop yields).
- Develop predictive models for crop growth, disease, and pest outbreaks.
- Implement machine learning algorithms for agricultural optimization.
- Create data visualizations and reports for stakeholders.
- Collaborate with agronomists and researchers on data interpretation.
- Design and conduct experiments to validate agricultural hypotheses.
- Contribute to the development of precision agriculture technologies.
- Identify trends and opportunities for improving farm efficiency and sustainability.
- Ensure data integrity and manage data pipelines.
- Master's or Ph.D. in Agricultural Science, Data Science, Statistics, or related field.
- Strong experience in data analysis, statistical modeling, and machine learning.
- Proficiency in programming languages like Python or R.
- Experience with agricultural data and related software is a plus.
- Knowledge of GIS or remote sensing data is advantageous.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Ability to work independently and manage projects in a remote setting.
- Passion for sustainable agriculture and technology.
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5
Senior Data Scientist
30303 Southern, Southern
BHD110000 Annually
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Our client is looking for a highly skilled Senior Data Scientist to contribute to their data-driven initiatives in Nuwaidrat, Southern, BH . This role involves leveraging advanced statistical analysis, machine learning techniques, and data visualization to extract actionable insights from large and complex datasets. You will work on challenging problems, developing predictive models, optimizing algorithms, and communicating your findings to both technical and non-technical stakeholders. Key responsibilities include designing and implementing machine learning models, performing exploratory data analysis, feature engineering, and evaluating model performance. You will collaborate with product managers, engineers, and business analysts to translate business requirements into data science solutions. The ideal candidate will have a strong background in statistics, mathematics, computer science, or a related quantitative field, coupled with extensive experience in Python or R programming and libraries such as scikit-learn, TensorFlow, or PyTorch. Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) are also important. This position offers a hybrid work model, balancing collaborative office days with remote flexibility. Our client is invested in fostering a culture of innovation and provides access to cutting-edge tools and resources. You should possess excellent analytical and problem-solving skills, strong communication abilities, and a passion for uncovering hidden patterns in data. Experience with cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI) would be advantageous. Join our team and help drive strategic decisions through data.
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Agricultural Data Scientist
1007 Al Jasra
BHD90000 Annually
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Our client is a leading innovator in agricultural technology and is seeking a skilled Agricultural Data Scientist to join their team remotely. This position focuses on leveraging data to optimize farming practices, improve crop yields, and enhance overall agricultural efficiency. You will work with vast datasets from sensors, drones, weather stations, and historical farming records. Your responsibilities will include developing predictive models for crop disease, pest outbreaks, and optimal planting/harvesting times. You will also analyze soil data, water usage, and nutrient levels to provide actionable insights for farmers. The ideal candidate will have a strong background in data science, statistical modeling, and machine learning, combined with a genuine interest in agriculture. Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are essential. You will collaborate with agronomists, researchers, and software engineers to translate data findings into practical agricultural solutions. This role is critical in advancing sustainable and precision agriculture practices. We are looking for an analytical thinker who can extract meaningful patterns from complex data and communicate findings clearly to both technical and non-technical audiences. This is a remote-first opportunity to drive significant advancements in the agricultural sector.
Responsibilities:
Responsibilities:
- Analyze large datasets from agricultural operations.
- Develop and implement machine learning models for predictive analytics.
- Create data visualizations to communicate insights to stakeholders.
- Collaborate with agronomists to validate data models and findings.
- Identify opportunities to improve crop yield and resource efficiency through data.
- Contribute to the development of data-driven decision-making tools for farmers.
- Stay abreast of the latest trends in agricultural technology and data science.
- Master's or Ph.D. in Data Science, Statistics, Agronomy, or a related quantitative field.
- 3+ years of experience in data analysis and machine learning.
- Proficiency in Python or R for data analysis.
- Experience with SQL and database management.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Knowledge of agricultural practices and terminology is highly desirable.
- Strong analytical and problem-solving skills.
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7
Lead Data Scientist
751 Zallaq, Southern
BHD110000 Annually
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Our client, a prestigious research institution focused on advancements in biotechnology, is seeking a highly motivated and experienced Lead Data Scientist to join their dedicated team in Zallaq, Southern, BH . This critical role involves leading a team of data scientists in analyzing complex biological datasets, developing predictive models, and extracting actionable insights to drive scientific discovery. You will play a key role in shaping the analytical approaches and methodologies used within the organization.
Responsibilities include designing and implementing advanced statistical models and machine learning algorithms; performing exploratory data analysis to identify trends and patterns; collaborating with research scientists to define research questions and hypotheses; developing and validating predictive models for biological processes; presenting research findings and insights to technical and non-technical stakeholders; mentoring junior data scientists and providing technical guidance; staying abreast of the latest developments in data science, machine learning, and bioinformatics; and ensuring the integrity and quality of data analysis pipelines. Expertise in areas such as genomics, proteomics, or clinical trial data analysis is highly valued.
The ideal candidate will hold a Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field. A minimum of 7 years of experience in data science, with a significant portion focused on biological or healthcare data, is required. Proven leadership experience, managing and mentoring a team of data scientists, is essential. Proficiency in programming languages such as Python or R, along with experience in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), is a must. Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop) are also required. Excellent communication and presentation skills are necessary to convey complex findings effectively. This role requires an on-site presence in our state-of-the-art facility in Zallaq.
Responsibilities include designing and implementing advanced statistical models and machine learning algorithms; performing exploratory data analysis to identify trends and patterns; collaborating with research scientists to define research questions and hypotheses; developing and validating predictive models for biological processes; presenting research findings and insights to technical and non-technical stakeholders; mentoring junior data scientists and providing technical guidance; staying abreast of the latest developments in data science, machine learning, and bioinformatics; and ensuring the integrity and quality of data analysis pipelines. Expertise in areas such as genomics, proteomics, or clinical trial data analysis is highly valued.
The ideal candidate will hold a Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field. A minimum of 7 years of experience in data science, with a significant portion focused on biological or healthcare data, is required. Proven leadership experience, managing and mentoring a team of data scientists, is essential. Proficiency in programming languages such as Python or R, along with experience in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), is a must. Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop) are also required. Excellent communication and presentation skills are necessary to convey complex findings effectively. This role requires an on-site presence in our state-of-the-art facility in Zallaq.
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8
Lead Data Scientist
1302 Hamala, Northern
BHD120000 Annually
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Our client is seeking an exceptional Lead Data Scientist to spearhead their advanced analytics and machine learning initiatives. This is a remote-first opportunity for a visionary leader passionate about leveraging data to drive innovation and solve complex business challenges. The Lead Data Scientist will be responsible for designing, developing, and deploying sophisticated machine learning models, conducting advanced statistical analysis, and interpreting large datasets to extract actionable insights. You will lead a team of data scientists, mentor junior members, and collaborate with cross-functional teams, including engineering, product, and business development. Key responsibilities include identifying opportunities for data-driven solutions, defining project roadmaps, and ensuring the quality and scalability of deployed models. The ideal candidate will possess deep expertise in machine learning algorithms, statistical modeling, programming languages (Python, R), and big data technologies (e.g., Spark, Hadoop). Strong communication and presentation skills are crucial for conveying complex findings to both technical and non-technical stakeholders. This fully remote role requires a proactive, self-motivated individual who thrives in an innovative environment. You will be instrumental in shaping the company's data strategy, driving predictive analytics, and developing AI-powered products. A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field is required. A minimum of 8 years of experience in data science, with at least 2 years in a leadership or team lead role, is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable for this remote position.
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