33 Senior Data Scientist R D jobs in Bahrain
Data Scientist
Posted 8 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
- Seniority level Entry level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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Get notified about new Data Scientist jobs in Manama, Capital Governorate, Bahrain .
Manama, Capital Governorate, Bahrain 3 weeks ago
Manama, Capital Governorate, Bahrain 1 month ago
Fall 2025 | Full-time Faculty of Data Science and AIRiffa, Southern Governorate, Bahrain 4 weeks ago
Manama, Capital Governorate, Bahrain 1 month ago
Software Engineer - Python - Container ImagesManama, Capital Governorate, Bahrain 2 days ago
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, AI/ML & AnalyticsManama, Capital Governorate, Bahrain 3 months ago
Remote Coding Expertise for AI Training (Arabic - Saudi) Software Engineer II- Java and/or PythonManama, Capital Governorate, Bahrain 1 month ago
Software Engineer - Python - Container ImagesManama, Capital Governorate, Bahrain 1 month ago
Coding Expertise for AI Training (Arabic - Saudi)Al Khobar, Eastern, Saudi Arabia 10 hours ago
Manama, Capital Governorate, Bahrain 1 month ago
Manama, Capital Governorate, Bahrain 1 month ago
Manama, Capital Governorate, Bahrain 3 weeks ago
Junior Quality Assurance Engineer (Bahraini National)Manama, Capital Governorate, Bahrain 3 days ago
Manama, Capital Governorate, Bahrain 3 days ago
Manama, Capital Governorate, Bahrain 2 weeks ago
Manama, Capital Governorate, Bahrain 2 weeks ago
Manama, Capital Governorate, Bahrain 2 days ago
Manama, Capital Governorate, Bahrain 2 months ago
Quality Assurance Engineer (Software Testing)Manama, Capital Governorate, Bahrain 3 days ago
Riffa, Southern Governorate, Bahrain 4 weeks ago
Al Khobar, Eastern, Saudi Arabia 1 month ago
Software Engineer (Python/Linux/Packaging)Manama, Capital Governorate, Bahrain 6 months ago
Manama, Capital Governorate, Bahrain 2 months ago
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Al Khobar, Eastern, Saudi Arabia 6 hours ago
Manama, Capital Governorate, Bahrain 4 months ago
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#J-18808-LjbffrData Scientist
Posted today
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For a Fintech company that is leading provider of AI-based Big Data analytics. About the company: We are dedicated to helping financial organizations combat financial crimes through money laundering facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking which negatively impact the global economy. We are looking for a Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers’ challenges and needs, defining and developing appropriate technical and business solutions. The Data Scientist will work closely with our product Management, Algorithm, Engineering, and Customer Success teams and lead external partners to successful implementations of our platform and solutions.
**Requirements**:
About the company
Regional Labs is a new player in the Middle Eastern tech ecosystem. We are a regional network of Innovation Hubs, designed to link the tech ecosystems in the region and thus provide startups with an additional layer of market access and connectivity. Our HQ is in Manama, the capital of the Kingdom of Bahrain. We work in coordination with governmental entities, key regional players, and local stakeholders in each respective ecosystem, aiming to fortify the breakthroughs made possible by the Abraham Accords through interpersonal relationships, and technological transference.
Junior Data Scientist
Posted today
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Job Description
Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Develop and implement machine learning models for various applications.
- Perform statistical analysis on large datasets to identify trends and patterns.
- Visualize data and model results using various tools and techniques.
- Collaborate with engineering and product teams to integrate data science solutions into products.
- Contribute to the design and execution of A/B tests and experiments.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Document code, methodologies, and findings clearly and comprehensively.
- Present findings and insights to technical and non-technical audiences.
- Support the maintenance and improvement of existing data science pipelines and models.
- Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong programming skills in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical concepts and machine learning algorithms.
- Experience with SQL and database management.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent problem-solving and critical thinking skills.
- Strong communication and teamwork abilities.
- Ability to work effectively in a fast-paced, collaborative environment.
- Previous internship or project experience in data science is a significant advantage.
- A genuine curiosity and passion for extracting insights from data.
Graduate Data Scientist
Posted today
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Job Description
Internship Focus:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Apply statistical analysis and machine learning techniques to identify patterns, trends, and insights.
- Develop and implement predictive models to solve business problems.
- Collaborate with senior data scientists to design and execute data experiments.
- Visualize data and present findings through reports and dashboards.
- Learn and apply new data science tools and technologies.
- Participate in team meetings and contribute to project discussions.
- Support the development and deployment of data science solutions.
- Evaluate the performance of models and recommend improvements.
- Gain exposure to big data technologies and cloud platforms.
- Work on projects related to customer segmentation, forecasting, fraud detection, or recommendation systems.
- Learn about ethical considerations in data science and AI.
- Practice data storytelling and communicate complex technical concepts clearly.
- Receive mentorship and guidance from experienced professionals.
- Contribute to a collaborative and innovative data science environment.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Knowledge of SQL and database management.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation abilities.
- Eagerness to learn and adapt to new challenges.
- Ability to work independently and as part of a team.
- A portfolio of personal data science projects or GitHub contributions is a plus.
Graduate Data Scientist
Posted today
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As a Graduate Data Scientist intern, you will assist in data collection, cleaning, and preprocessing from various sources. You will be involved in exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Your responsibilities may include developing and testing predictive models, implementing machine learning algorithms, and evaluating their performance. You will also contribute to the visualization of data and findings, creating compelling reports and presentations for stakeholders. This internship provides hands-on experience with cutting-edge tools and technologies in the field of data science. You will have the opportunity to learn about different analytical methodologies, gain practical skills in programming languages such as Python or R, and work with databases and big data platforms. We are looking for candidates who demonstrate strong analytical aptitude, a passion for problem-solving, and a desire to learn and grow within a collaborative and dynamic environment. This is an ideal stepping stone for a rewarding career in data science.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data manipulation and database querying (e.g., SQL).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation abilities.
- Eagerness to learn and work collaboratively in a team environment.
- Prior internship or project experience in data analysis or data science is a plus.
Graduate Data Scientist
Posted today
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Job Description
Program Overview:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Collaborate with senior team members to develop and implement statistical models and machine learning algorithms.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Contribute to the development of data visualizations and reports to communicate findings effectively.
- Learn and apply various data science techniques, including regression, classification, clustering, and time series analysis.
- Participate in code reviews and contribute to the improvement of data analysis pipelines.
- Gain exposure to cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Spark, Hadoop).
- Work on real-world projects that have a direct impact on business decisions.
- Receive mentorship from experienced professionals and develop a strong foundation in data science principles.
- Attend workshops and training sessions to enhance technical skills and industry knowledge.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Familiarity with SQL for database querying.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, both written and verbal, with the ability to explain technical concepts clearly.
- Eagerness to learn and a proactive approach to acquiring new skills.
- Ability to work effectively both independently and as part of a team.
- A genuine passion for data and its potential to drive innovation.
Embark on a rewarding career journey with a company that invests in its talent.
Principal Data Scientist
Posted today
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Job Description
Responsibilities:
- Lead the development and implementation of advanced analytical models and algorithms.
- Design and conduct complex data mining and statistical analysis projects.
- Develop and deploy machine learning models for prediction, classification, and clustering.
- Explore and prepare large, complex datasets for analysis.
- Collaborate with stakeholders to identify key business problems and data-driven solutions.
- Communicate complex findings and insights clearly to both technical and non-technical audiences.
- Mentor and guide junior data scientists and analysts.
- Stay abreast of the latest advancements in data science and machine learning.
- Contribute to the development of the company's data science strategy and infrastructure.
- Evaluate and implement new data science tools and techniques.
Qualifications:
- Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- Minimum of 8 years of experience in data science or machine learning roles.
- Expertise in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Deep understanding of various machine learning algorithms and statistical modeling techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills.
- Proven ability to lead projects and mentor teams.
- Experience in scientific research or R&D environments is a plus.
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Graduate Data Scientist
Posted today
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of statistical models and machine learning algorithms.
- Contribute to the creation of data visualizations and dashboards to communicate findings.
- Collaborate with senior data scientists and cross-functional teams on data-driven projects.
- Document methodologies, code, and results clearly and concisely.
- Research and stay updated on emerging data science techniques and tools.
- Assist in the evaluation and testing of model performance.
- Participate in team meetings and present findings and progress.
- Gain practical experience in a professional data science environment.
Qualifications:
- 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 programming languages such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with SQL for database querying.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills, both written and verbal.
- Ability to work independently and collaboratively in a team environment.
- Eagerness to learn and a passion for data.
- Previous internship or project experience in data analysis or data science is a plus.
This internship provides a unique chance to learn from industry experts and build a solid foundation for a successful career in data science.
Lead Data Scientist, Business Intelligence
Posted today
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of sophisticated business intelligence solutions and data models.
- Utilize advanced statistical analysis, machine learning, and AI techniques to uncover trends, patterns, and predictive insights.
- Develop and maintain data pipelines, ensuring data quality, integrity, and accessibility.
- Collaborate with business stakeholders to understand their needs and translate them into data-driven solutions.
- Build and interpret complex reports, dashboards, and visualizations for various business units.
- Mentor and manage a team of data scientists and analysts, fostering a culture of innovation and continuous learning.
- Stay abreast of the latest advancements in data science, machine learning, and business intelligence technologies.
- Ensure data governance, privacy, and security policies are strictly adhered to.
- Communicate complex technical findings clearly and concisely to both technical and non-technical audiences.
- Evaluate and recommend new tools and technologies to enhance BI capabilities.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science, machine learning, or business intelligence, with a proven track record of leading projects.
- Expertise in programming languages such as Python or R, and proficiency in SQL.
- Strong experience with BI tools (e.g., Tableau, Power BI, Looker) and data warehousing concepts.
- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent leadership, mentoring, and team management skills.
- Exceptional problem-solving, analytical, and critical-thinking abilities.
- Strong communication and presentation skills, with the ability to convey complex information effectively.
- Experience in the retail or technology sector is a plus.
- Ability to work remotely while maintaining strong collaboration with teams in Saar .
Senior Data Scientist - AI/ML
Posted today
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Perform data mining, feature engineering, and exploratory data analysis on large datasets.
- Build and deploy predictive models, including classification, regression, and clustering algorithms.
- Develop natural language processing (NLP) or computer vision solutions as required.
- Evaluate model performance, optimize parameters, and ensure robustness and scalability.
- Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
- Communicate complex findings and recommendations clearly to technical and non-technical audiences.
- Stay current with the latest research and advancements in AI/ML.
- Mentor junior data scientists and contribute to the team's knowledge sharing.