389 Senior Level Data Scientist jobs in Bahrain
Data Scientist
Manama, Capital
SWATX
Posted 3 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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0
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
Junior Data Scientist
280 Hamala, Northern
BHD18 Hourly
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Our client, a dynamic and growing technology firm in Sanad, Capital, BH , is looking for an enthusiastic and aspiring Junior Data Scientist to join their innovative team. This internship provides an exceptional opportunity for a recent graduate or current student to gain hands-on experience in data analysis, machine learning, and predictive modeling within a real-world business context. The role is designed to offer practical exposure to the full data science lifecycle.
As a Junior Data Scientist, you will work closely with senior data scientists and analysts to support various data-driven projects. Your responsibilities will include data cleaning, preprocessing, and feature engineering to prepare datasets for analysis. You will assist in developing and implementing machine learning models, performing statistical analysis, and creating visualizations to communicate insights. This role requires a strong foundation in statistical concepts and programming, along with a keen desire to learn and contribute to impactful projects. You will have the chance to work with diverse datasets, contributing to business intelligence and strategic decision-making. Collaboration within the team and with other departments will be key to your success, helping to translate complex data into actionable business strategies. The ideal candidate is eager to absorb new knowledge and apply theoretical concepts to practical challenges.
Key Responsibilities:
As a Junior Data Scientist, you will work closely with senior data scientists and analysts to support various data-driven projects. Your responsibilities will include data cleaning, preprocessing, and feature engineering to prepare datasets for analysis. You will assist in developing and implementing machine learning models, performing statistical analysis, and creating visualizations to communicate insights. This role requires a strong foundation in statistical concepts and programming, along with a keen desire to learn and contribute to impactful projects. You will have the chance to work with diverse datasets, contributing to business intelligence and strategic decision-making. Collaboration within the team and with other departments will be key to your success, helping to translate complex data into actionable business strategies. The ideal candidate is eager to absorb new knowledge and apply theoretical concepts to practical challenges.
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Support the development and validation of machine learning models.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior data scientists on ongoing projects.
- Learn and apply statistical modeling techniques.
- Contribute to the development of data-driven solutions.
- Document methodologies and results clearly and concisely.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and methods.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic knowledge of machine learning algorithms and concepts.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical and problem-solving abilities.
- Good communication skills, both written and verbal.
- Eagerness to learn and adapt in a fast-paced environment.
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2
Graduate Data Scientist
305 Northern, Northern
BHD25 Hourly
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Our client is excited to welcome ambitious and analytically minded Graduate Data Scientists to their fully remote, innovative team. This internship offers an exceptional opportunity to gain hands-on experience in the field of data science, working on real-world projects that drive business insights. You will collaborate with experienced data scientists and engineers, contributing to the development and implementation of machine learning models, data analysis pipelines, and predictive analytics solutions. Responsibilities include data cleaning and preprocessing, exploratory data analysis, feature engineering, model building and evaluation, and communicating findings through visualizations and reports. You will gain exposure to a wide range of tools and technologies used in data science, including programming languages like Python or R, SQL, and various machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). The ideal candidate is a recent graduate with a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline, demonstrating a strong foundation in statistical modeling and programming. Excellent problem-solving skills, a keen attention to detail, and a passion for learning are essential. As this is a fully remote internship, you must be self-motivated, possess excellent communication skills, and be able to work effectively as part of a virtual team. We are looking for enthusiastic individuals eager to apply their academic knowledge to practical challenges and contribute to impactful data-driven decisions. This internship is designed to provide a comprehensive learning experience, fostering your growth as a future data science professional.
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3
Graduate Data Scientist
701 Busaiteen, Muharraq
BHD60000 Annually
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Our client is looking for ambitious and bright Graduate Data Scientists to join their growing team in A'ali, Northern, BH . This is an exceptional opportunity for recent graduates to launch their careers in data science, working on challenging and impactful projects. You will be mentored by experienced data scientists, learning to apply statistical modeling, machine learning algorithms, and data mining techniques to extract valuable insights from complex datasets. Your responsibilities will include data exploration, feature engineering, model development, validation, and deployment. You will contribute to building predictive models, identifying trends, and supporting data-driven decision-making across the organization. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering, coupled with a genuine passion for data. Proficiency in programming languages like Python or R, and experience with data manipulation libraries are essential. This hybrid role offers a blend of collaborative work in the office and the flexibility of remote work. We seek individuals who are eager to learn, possess strong analytical and problem-solving skills, and can communicate technical concepts effectively. This program is designed to fast-track your development into a skilled data science professional.
Responsibilities:
Qualifications:
Responsibilities:
- Analyze large datasets to identify trends and patterns.
- Develop and implement statistical models and machine learning algorithms.
- Clean, preprocess, and transform data for analysis.
- Build and evaluate predictive models.
- Create data visualizations to communicate findings.
- Collaborate with stakeholders to understand business needs and data requirements.
- Assist in deploying machine learning models into production environments.
- Stay updated with the latest advancements in data science and machine learning.
- Document methodologies and findings clearly.
- Contribute to team projects and knowledge sharing.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
- Strong foundation in statistics, probability, and algorithms.
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work collaboratively in a team and learn quickly.
- Understanding of data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
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4
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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5
Graduate Data Scientist
921, Capital Governorate Askar, Southern
BHD25000 Annually
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Our client is offering an exciting opportunity for a motivated Graduate Data Scientist to join their innovative team in **Tubli, Capital, BH**. This internship is designed for ambitious individuals who are passionate about leveraging data to drive business insights and solutions. You will work closely with experienced data scientists and analysts, contributing to real-world projects and gaining hands-on experience in data analysis, machine learning, and statistical modeling. Responsibilities include data cleaning and preprocessing, exploratory data analysis, developing predictive models, and visualizing findings. You will assist in building and deploying machine learning algorithms, testing their performance, and interpreting results to provide actionable recommendations. The ideal candidate will possess a strong academic background in a quantitative field such as statistics, mathematics, computer science, economics, or a related discipline. Proficiency in programming languages like Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow) are essential. Experience with SQL and data visualization tools would be a significant advantage. This internship provides a unique chance to learn cutting-edge techniques, collaborate with a talented team, and develop a strong foundation for a career in data science. We encourage applications from individuals who are eager to learn, possess strong analytical and problem-solving skills, and have a keen interest in transforming data into meaningful insights.
Key Responsibilities:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement statistical models and machine learning algorithms.
- Build data visualizations to communicate findings effectively.
- Support senior data scientists in project execution.
- Contribute to the documentation of methodologies and results.
- Learn and apply new data science techniques and tools.
- Collaborate with cross-functional teams to understand data needs.
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R, including relevant data science libraries.
- Familiarity with SQL for data querying.
- Excellent analytical and problem-solving abilities.
- Strong communication and teamwork skills.
- Eagerness to learn and adapt in a fast-paced environment.
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6
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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7
Graduate Data Scientist
1080 Bilad Al Qadeem, Capital
BHD1500 month
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Our client, a leading technology firm, is looking for an ambitious and data-driven Graduate Data Scientist to join their innovative team. This is a fully remote internship opportunity designed for recent graduates eager to apply their academic knowledge to real-world challenges in data analysis and machine learning. You will work closely with experienced data scientists, contribute to cutting-edge projects, and gain invaluable hands-on experience in a supportive, remote environment.
Responsibilities:
Qualifications:
This internship is fully remote, providing a unique opportunity for aspiring data scientists to kick-start their careers. You will be part of a collaborative team, working on challenging projects that will significantly enhance your skill set. The ability to connect and contribute effectively in a virtual workspace is paramount.
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets for analysis.
- Develop and implement statistical models and machine learning algorithms under supervision.
- Conduct exploratory data analysis to identify patterns and insights.
- Visualize data and present findings to the team in a clear and concise manner.
- Collaborate with senior data scientists on various projects, including predictive modeling and algorithm development.
- Contribute to the evaluation and improvement of existing data models.
- Research and stay updated on the latest trends and techniques in data science and artificial intelligence.
- Document methodologies, code, and results thoroughly.
- Participate in team meetings and contribute to project discussions.
- Learn and apply best practices in data science and software development.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong foundation in statistical analysis, machine learning, and programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Understanding of database concepts and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork skills, with the ability to work effectively in a remote setting.
- Proactive attitude and eagerness to learn.
- Ability to work independently and manage tasks effectively.
This internship is fully remote, providing a unique opportunity for aspiring data scientists to kick-start their careers. You will be part of a collaborative team, working on challenging projects that will significantly enhance your skill set. The ability to connect and contribute effectively in a virtual workspace is paramount.
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8
Senior Data Scientist
415 Tubli, Central
BHD120000 Annually
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Our client is looking for a highly analytical and experienced Senior Data Scientist to join their innovative IT and Software division in **Janabiyah, Northern, BH**. This role is instrumental in driving data-informed decision-making across the organization by leveraging advanced statistical analysis, machine learning, and data mining techniques. You will be responsible for collecting, cleaning, and transforming large datasets, building predictive models, and deriving actionable insights to solve complex business problems. The ideal candidate will have a strong foundation in statistical modeling, algorithms, and programming languages such as Python or R. Proficiency with big data technologies and database management systems (SQL, NoSQL) is essential. You will collaborate closely with product managers, software engineers, and business stakeholders to understand requirements, communicate findings, and implement data-driven solutions. This position requires a passion for data, excellent problem-solving skills, and the ability to translate complex technical concepts into understandable business recommendations. The role offers a hybrid work arrangement, blending remote flexibility with essential in-office collaboration.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement advanced statistical and machine learning models.
- Extract, clean, and preprocess large datasets from various sources.
- Analyze data to identify trends, patterns, and insights relevant to business objectives.
- Design and conduct A/B tests and other experiments to evaluate product features and strategies.
- Build predictive models for forecasting, classification, and clustering.
- Communicate findings and recommendations clearly to both technical and non-technical audiences.
- Collaborate with software engineers to deploy models into production environments.
- Develop data visualization dashboards and reports to track key metrics.
- Mentor junior data scientists and contribute to the team's knowledge base.
- Stay current with the latest advancements in data science and machine learning.
Qualifications:
- 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 analytical role.
- Proficiency in programming languages like Python or R, including relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong experience with SQL and database technologies.
- Expertise in various machine learning algorithms and statistical modeling techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
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