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. 99 Data Scientist jobs in Bahrain
Data Scientist
Manama, Capital
Swatxsolutions
Posted 5 days ago
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Job Description
Data Scientist
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
- Seniority level Entry level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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Graduate Data Scientist
BH9999 Al Hidd
BHD45000 annum (stip
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Posted today
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Our client, a cutting-edge technology firm located in Sitra, Capital, BH , is offering an exceptional Graduate Data Scientist internship opportunity for ambitious individuals eager to launch their careers in data analytics and artificial intelligence. This internship provides invaluable hands-on experience in leveraging data to drive business insights and innovation. You will work within a dynamic data science team, contributing to real-world projects that involve data collection, cleaning, preprocessing, analysis, and visualization. Responsibilities include assisting senior data scientists in developing predictive models, implementing machine learning algorithms, conducting statistical analysis, and preparing comprehensive reports and presentations on findings. You will gain exposure to various data science tools and programming languages, such as Python, R, SQL, and machine learning libraries. The ideal candidate will be a recent graduate with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering, demonstrating a strong academic record. Prior experience with data analysis projects, internships, or relevant coursework is highly advantageous. Essential skills include a solid understanding of statistical concepts, programming proficiency, and a passion for data-driven problem-solving. Excellent communication and teamwork abilities are required. This is a fantastic opportunity for motivated graduates to gain practical experience, develop critical skills, and potentially secure full-time employment upon successful completion of the internship. Join our client and be part of shaping the future of data science.
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1
Junior Data Scientist
60010 Amwaj Islands
BHD20 Hourly
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Our client, a cutting-edge technology firm, is offering a unique opportunity for an aspiring Junior Data Scientist to gain hands-on experience through an internship program in **Isa Town, Southern, BH**. This internship is designed for individuals passionate about data analysis, machine learning, and statistical modeling, seeking to apply their academic knowledge in a real-world setting. The intern will work closely with senior data scientists on challenging projects, contributing to data-driven decision-making and the development of predictive models. Responsibilities include:
Qualifications:
This internship provides an invaluable learning experience and the potential for future career development within the data science field.
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Developing and testing statistical models and machine learning algorithms under guidance.
- Visualizing data and model results using tools like Matplotlib, Seaborn, or Tableau.
- Collaborating with team members to interpret findings and contribute to project goals.
- Documenting data analysis processes and model methodologies.
- Learning and applying new data science techniques and tools.
- Supporting the development of dashboards and reports for business stakeholders.
- Participating in team meetings and presenting findings.
- Gaining practical experience in a professional data science environment.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Familiarity with SQL for database querying.
- Experience with data visualization tools is a plus.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work effectively in a team environment.
- Eagerness to learn and adapt to new technologies.
- Strong attention to detail.
This internship provides an invaluable learning experience and the potential for future career development within the data science field.
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2
Senior Data Scientist
3000 Al Markh
BHD110000 Annually
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Posted today
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Job Description
Our client is a leading research institution seeking a highly skilled Senior Data Scientist to drive advanced analytics and machine learning initiatives in Sanad, Capital, BH . This role will be instrumental in extracting insights from complex datasets, developing predictive models, and contributing to groundbreaking scientific research. The ideal candidate will possess a strong quantitative background, expertise in various data science methodologies, and a proven ability to translate data into actionable insights.
Key Responsibilities:
The successful candidate will hold a Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field. A minimum of 5 years of professional experience in data science or a related analytical role is required. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) are essential. Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop) are highly desirable. Experience with cloud platforms (AWS, Azure, GCP) and data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent problem-solving skills, strong analytical thinking, and effective communication abilities are mandatory. Experience in scientific research environments or specific domains like genomics, bioinformatics, or material science is advantageous. This is an exciting opportunity for a talented data scientist to contribute to cutting-edge research.
Key Responsibilities:
- Develop and implement sophisticated statistical models and machine learning algorithms to analyze large, complex datasets.
- Identify key data sources, define data requirements, and design data collection strategies for research projects.
- Clean, preprocess, and transform data to ensure accuracy and suitability for analysis.
- Build and deploy predictive models for forecasting, classification, and clustering.
- Utilize advanced data visualization techniques to communicate findings effectively to technical and non-technical stakeholders.
- Collaborate with researchers and domain experts to understand project goals and translate them into data science problems.
- Conduct exploratory data analysis to uncover trends, patterns, and anomalies.
- 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 implement new tools and technologies to enhance data analysis capabilities.
- Develop and maintain documentation for data models, algorithms, and methodologies.
- Ensure data integrity, security, and compliance with relevant regulations.
- Present findings and recommendations to senior management and research teams.
- Contribute to the design and execution of experiments, leveraging data-driven insights.
The successful candidate will hold a Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field. A minimum of 5 years of professional experience in data science or a related analytical role is required. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) are essential. Strong knowledge of SQL and experience with big data technologies (e.g., Spark, Hadoop) are highly desirable. Experience with cloud platforms (AWS, Azure, GCP) and data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent problem-solving skills, strong analytical thinking, and effective communication abilities are mandatory. Experience in scientific research environments or specific domains like genomics, bioinformatics, or material science is advantageous. This is an exciting opportunity for a talented data scientist to contribute to cutting-edge research.
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Senior Data Scientist
214 Al Markh
BHD9500 Annually
WhatJobs
Posted today
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Job Description
Our client is searching for an accomplished Senior Data Scientist to join their innovative technology division in Sanad, Capital, BH . This role is central to leveraging data to drive business insights and product development. The Senior Data Scientist will be responsible for designing, developing, and implementing advanced machine learning models and statistical analyses. Key tasks include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will work with large, complex datasets from various sources, identifying trends, patterns, and actionable insights. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly preferred. The ideal candidate will have a strong background in statistical modeling, predictive analytics, and machine learning algorithms such as regression, classification, clustering, and deep learning. Proficiency in programming languages like Python or R, along with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch), is essential. A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with a minimum of 5 years of professional experience in data science or a closely related role. Excellent problem-solving abilities, critical thinking, and strong communication skills are necessary to translate complex findings into understandable business recommendations. This is an exceptional opportunity to work with cutting-edge technologies and contribute to data-driven decision-making within a forward-thinking tech company.
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4
Agricultural Data Scientist
101, 105 Tubli, Central
BHD8000 Annually
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Our client is a leading agricultural innovator looking for a talented Agricultural Data Scientist to contribute to optimizing crop yields and farming practices in **Budaiya, Northern, BH**. This role involves leveraging advanced analytics and machine learning techniques to interpret complex agricultural data, from soil composition and weather patterns to crop health and satellite imagery. You will be instrumental in developing predictive models that inform planting schedules, irrigation strategies, and pest management solutions, driving efficiency and sustainability in our operations.
Key responsibilities include:
The ideal candidate will possess a strong background in data science, statistics, or a related quantitative field, with a specialization in agricultural applications. Proficiency in programming languages such as Python or R, and experience with big data technologies and cloud platforms, are essential. A deep understanding of agricultural science, crop physiology, and agronomy is highly preferred. You should be skilled in data visualization tools and possess excellent analytical and problem-solving abilities. Experience with machine learning frameworks and deep learning for image analysis would be advantageous. The ability to translate complex technical findings into actionable insights for non-technical audiences is crucial.
Key responsibilities include:
- Collecting, cleaning, and processing large datasets from various agricultural sources.
- Developing and implementing statistical models and machine learning algorithms for yield prediction, disease detection, and resource optimization.
- Analyzing remote sensing data (satellite, drone imagery) to assess crop health and field conditions.
- Creating visualizations and reports to communicate insights to agronomists and stakeholders.
- Collaborating with field researchers to design experiments and collect relevant data.
- Staying abreast of the latest advancements in agricultural technology and data science.
- Identifying opportunities to apply data-driven insights to improve farm management practices.
- Developing custom software tools and scripts for data analysis and workflow automation.
- Providing technical guidance on data quality and methodology.
- Ensuring the integrity and security of agricultural data.
The ideal candidate will possess a strong background in data science, statistics, or a related quantitative field, with a specialization in agricultural applications. Proficiency in programming languages such as Python or R, and experience with big data technologies and cloud platforms, are essential. A deep understanding of agricultural science, crop physiology, and agronomy is highly preferred. You should be skilled in data visualization tools and possess excellent analytical and problem-solving abilities. Experience with machine learning frameworks and deep learning for image analysis would be advantageous. The ability to translate complex technical findings into actionable insights for non-technical audiences is crucial.
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5
Senior Data Scientist
725 Tubli, Central
BHD110000 Annually
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Our client is a cutting-edge technology firm seeking a highly skilled Senior Data Scientist to join their innovative team in **Nuwaidrat, Southern, BH**. This role will be instrumental in leveraging data to drive business decisions, develop predictive models, and create intelligent solutions. You will be responsible for designing, developing, and implementing advanced machine learning algorithms and statistical models. Key responsibilities include extracting, cleaning, and transforming large datasets, identifying patterns, and deriving actionable insights. The Senior Data Scientist will collaborate with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions. You will play a key role in feature engineering, model selection, validation, and deployment. Experience with big data technologies and cloud platforms is essential. The ideal candidate will possess a strong foundation in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and programming languages such as Python or R. Proven experience in building and deploying machine learning models in a production environment is required. We are looking for an individual with exceptional analytical and problem-solving skills, a passion for data, and the ability to communicate complex findings effectively to diverse audiences. This is a fantastic opportunity to work on challenging projects and contribute to the advancement of data science within a forward-thinking IT and software company.
Key Responsibilities:
Key Responsibilities:
- Design, build, and deploy machine learning models to solve complex business problems.
- Analyze large datasets to identify trends, patterns, and actionable insights.
- Develop and implement data mining algorithms and statistical models.
- Perform feature engineering and model validation.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Communicate complex findings and recommendations to technical and non-technical stakeholders.
- Stay current with the latest advancements in data science and machine learning.
- Contribute to the development of data infrastructure and tools.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science or a related field.
- Proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Familiarity with cloud platforms (e.g., AWS, Azure) and MLOps practices.
- Excellent analytical, problem-solving, and communication skills.
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6
Principal Data Scientist
20137 Seef, Capital
BHD90000 Annually
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Job Description
Our client, a leader in scientific innovation, is seeking a highly accomplished Principal Data Scientist to spearhead advanced research initiatives in Janabiyah, Northern, BH . This is a pivotal role for an individual with a passion for discovery, a deep understanding of statistical modeling, machine learning, and a proven ability to translate complex data into actionable insights. You will be instrumental in shaping the future of our client's R&D efforts, leveraging cutting-edge techniques to solve challenging scientific problems. This position offers the opportunity to mentor junior scientists and influence strategic research direction.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design and implementation of complex data-driven research projects from conception to deployment.
- Develop and apply advanced statistical models, machine learning algorithms, and predictive analytics techniques.
- Analyze large, complex datasets to identify patterns, trends, and insights that drive scientific discovery.
- Collaborate with cross-functional teams, including researchers, engineers, and domain experts, to define project goals and methodologies.
- Communicate findings and recommendations clearly and effectively to both technical and non-technical stakeholders through reports and presentations.
- Develop and maintain robust data pipelines and analytical frameworks.
- Stay at the forefront of machine learning and artificial intelligence research, evaluating and implementing new methodologies.
- Mentor and guide junior data scientists and researchers, fostering a culture of learning and innovation.
- Contribute to the intellectual property portfolio through publications and patents.
- Ensure the integrity and quality of data used for analysis.
- Design and conduct experiments to validate hypotheses and test model performance.
- Develop scalable solutions that can be integrated into broader research platforms.
- Identify new opportunities for data science applications within the organization.
- Champion data-driven decision-making across the R&D department.
- Translate business or research problems into analytical solutions.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
- 8+ years of experience in data science, machine learning, and statistical modeling.
- Proven track record of leading successful research and development projects.
- Expertise in programming languages commonly used in data science, such as Python or R.
- Proficiency with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data manipulation tools (e.g., SQL, Pandas).
- Strong understanding of statistical concepts and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to convey complex information effectively.
- Experience with cloud platforms (AWS, Azure, GCP) is desirable.
- Demonstrated ability to work independently and as part of a collaborative team.
- A strong portfolio of data science projects or contributions to open-source projects.
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7
Lead Data Scientist
714 Riffa, Southern
BHD80000 Annually
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Job Description
Our client, a forward-thinking research institution, is seeking an experienced Lead Data Scientist to spearhead their data analytics and machine learning initiatives in **Riffa, Southern, BH**. This senior position demands a strong analytical mind, advanced statistical knowledge, and extensive experience in developing and deploying predictive models. You will lead a team of data scientists, guiding them through complex data challenges and fostering a culture of innovation. The ideal candidate will be proficient in programming languages such as Python or R, with expertise in machine learning frameworks and big data technologies. Key responsibilities include defining data strategy, identifying business problems that can be solved with data, and developing robust analytical models. You will oversee data collection, cleaning, and preprocessing, ensuring data integrity and accuracy. The Lead Data Scientist will design and implement machine learning algorithms, perform advanced statistical analysis, and create data visualizations to communicate findings to stakeholders. Collaboration with various departments, including product development, marketing, and operations, will be essential to translate data insights into actionable business strategies. This role requires a deep understanding of data mining techniques, experimental design, and model validation. You will mentor junior data scientists, review their work, and contribute to the overall technical growth of the data science team. Experience in big data platforms like Spark and Hadoop is highly valued. This is an exceptional opportunity to influence data-driven decision-making and drive significant advancements in scientific research.
Qualifications:
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in data science and machine learning.
- Proven experience in leading data science teams and projects.
- Expertise in Python or R, along with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI).
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8
Graduate Data Scientist
20303 Busaiteen, Muharraq
BHD2500 month
WhatJobs
Posted 1 day ago
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Job Description
Our client is excited to offer an opportunity for a motivated and intellectually curious Graduate Data Scientist to join their analytical team in **Busaiteen, Muharraq, BH**. This internship program is designed for recent graduates who are passionate about data, statistics, and machine learning, providing hands-on experience in a professional environment. You will work closely with experienced data scientists and analysts, contributing to real-world projects that involve data cleaning, analysis, model development, and interpretation of results.
Key responsibilities will include assisting in the collection, cleaning, and preprocessing of large datasets from various sources. You will perform exploratory data analysis to identify patterns, trends, and anomalies. Under guidance, you will develop and validate predictive models using machine learning algorithms. This involves feature engineering, model selection, training, and evaluation. You will also be involved in data visualization to communicate findings effectively to both technical and non-technical stakeholders. Contributing to the development of data-driven reports and dashboards will be a core part of your role. You will learn and apply statistical techniques and programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R. Participation in team meetings, brainstorming sessions, and knowledge-sharing activities is encouraged. The ideal candidate will have recently completed or be nearing completion of a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. Strong analytical and problem-solving skills are essential, along with a solid understanding of statistical concepts and machine learning principles. Proficiency in programming languages like Python or R and experience with data manipulation and visualization tools are required. Familiarity with SQL and database concepts is a plus. Eagerness to learn, a proactive attitude, and strong communication skills will make you an excellent fit for this program.
Key responsibilities will include assisting in the collection, cleaning, and preprocessing of large datasets from various sources. You will perform exploratory data analysis to identify patterns, trends, and anomalies. Under guidance, you will develop and validate predictive models using machine learning algorithms. This involves feature engineering, model selection, training, and evaluation. You will also be involved in data visualization to communicate findings effectively to both technical and non-technical stakeholders. Contributing to the development of data-driven reports and dashboards will be a core part of your role. You will learn and apply statistical techniques and programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R. Participation in team meetings, brainstorming sessions, and knowledge-sharing activities is encouraged. The ideal candidate will have recently completed or be nearing completion of a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. Strong analytical and problem-solving skills are essential, along with a solid understanding of statistical concepts and machine learning principles. Proficiency in programming languages like Python or R and experience with data manipulation and visualization tools are required. Familiarity with SQL and database concepts is a plus. Eagerness to learn, a proactive attitude, and strong communication skills will make you an excellent fit for this program.
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