18 Senior Data Scientist jobs in Bahrain
Data Scientist
Manama, Capital
Swatxsolutions
Posted 16 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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Lead Data Scientist
130 Busaiteen, Muharraq
BHD7500 month
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A rapidly expanding e-commerce platform located in Busaiteen, Muharraq, BH , is actively searching for a highly skilled and experienced Lead Data Scientist to drive data-driven decision-making and product innovation. This leadership role involves spearheading the development and implementation of advanced analytical models, machine learning algorithms, and data strategies to unlock valuable insights from vast datasets. The ideal candidate will possess a strong quantitative background, proven leadership experience, and a passion for leveraging data to solve complex business problems and enhance customer experiences. Our client fosters an environment of innovation and collaboration.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and deployment of machine learning models and statistical analyses to address business challenges.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights that drive business strategy.
- Develop and maintain predictive models for customer behavior, sales forecasting, and operational efficiency.
- Collaborate with engineering and product teams to integrate data science solutions into production systems.
- Mentor and guide junior data scientists, fostering their technical growth and project contributions.
- Define data requirements, build data pipelines, and ensure data quality and integrity.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Design and conduct A/B tests and other experiments to evaluate the impact of new features and strategies.
- Develop data visualization dashboards and reports to monitor key metrics and performance.
- Manage multiple data science projects simultaneously, ensuring timely delivery and high-quality outcomes.
- Contribute to the company's data strategy and roadmap.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in data science, machine learning, or advanced analytics, with proven experience in leading projects or teams.
- Strong expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
- Experience with SQL and NoSQL databases, and data warehousing concepts.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Proven ability to translate business problems into data science solutions.
- Experience in e-commerce or a related industry is a plus.
- Leadership experience and the ability to mentor junior team members.
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1
Junior Data Scientist - Graduate Program
116, BH Al Muharraq
BHD25000 Annually
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Our client is a pioneering technology firm committed to fostering emerging talent, and we are excited to offer a challenging Junior Data Scientist position as part of our esteemed Graduate Program in Hidd, Muharraq, BH . This is an unparalleled opportunity for recent graduates with a strong foundation in statistics, programming, and analytical thinking to launch their careers in data science. You will work alongside experienced professionals, contributing to real-world projects, and gaining hands-on experience in data analysis, machine learning, and predictive modeling. If you are a motivated and curious individual eager to learn and apply your academic knowledge to solve complex business problems, this program is designed for you.
Responsibilities include assisting senior data scientists in collecting, cleaning, and transforming large datasets from various sources. You will support the development and implementation of machine learning models, including classification, regression, and clustering algorithms. Performing exploratory data analysis (EDA) to identify trends, patterns, and insights will be a key duty. You will help in designing and conducting A/B tests and other experiments to evaluate hypotheses. Creating data visualizations and reports to communicate findings to both technical and non-technical stakeholders is expected. Participating in code reviews and contributing to the continuous improvement of data science workflows and tools will be a core part of your role. Learning and applying new data science techniques and technologies will be emphasized. Collaborating with engineering and product teams to integrate data-driven solutions into existing products and services will also be an opportunity. You will also help in documenting data science processes and model performance. This program provides structured mentorship and exposure to diverse business challenges.
Qualifications required are a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a closely related quantitative field, obtained within the last 12 months. Strong programming skills in Python or R, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch, are essential. A solid understanding of statistical concepts and machine learning algorithms is required. Experience with SQL and database management is highly beneficial. Familiarity with data visualization tools such as Matplotlib, Seaborn, or Tableau is a plus. Excellent analytical and problem-solving skills, coupled with a strong attention to detail, are necessary. Effective written and verbal communication skills are required to explain complex technical concepts clearly. Eagerness to learn, a proactive attitude, and the ability to work effectively in a team environment are critical. This internship offers a competitive stipend and the potential for full-time employment upon successful completion of the program.
Responsibilities include assisting senior data scientists in collecting, cleaning, and transforming large datasets from various sources. You will support the development and implementation of machine learning models, including classification, regression, and clustering algorithms. Performing exploratory data analysis (EDA) to identify trends, patterns, and insights will be a key duty. You will help in designing and conducting A/B tests and other experiments to evaluate hypotheses. Creating data visualizations and reports to communicate findings to both technical and non-technical stakeholders is expected. Participating in code reviews and contributing to the continuous improvement of data science workflows and tools will be a core part of your role. Learning and applying new data science techniques and technologies will be emphasized. Collaborating with engineering and product teams to integrate data-driven solutions into existing products and services will also be an opportunity. You will also help in documenting data science processes and model performance. This program provides structured mentorship and exposure to diverse business challenges.
Qualifications required are a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a closely related quantitative field, obtained within the last 12 months. Strong programming skills in Python or R, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch, are essential. A solid understanding of statistical concepts and machine learning algorithms is required. Experience with SQL and database management is highly beneficial. Familiarity with data visualization tools such as Matplotlib, Seaborn, or Tableau is a plus. Excellent analytical and problem-solving skills, coupled with a strong attention to detail, are necessary. Effective written and verbal communication skills are required to explain complex technical concepts clearly. Eagerness to learn, a proactive attitude, and the ability to work effectively in a team environment are critical. This internship offers a competitive stipend and the potential for full-time employment upon successful completion of the program.
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2
Lead Data Scientist - AI/ML
202 Jbeil
BHD10000 month
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Our client is seeking an experienced Lead Data Scientist with expertise in AI and Machine Learning to drive innovation in **Sitra, Capital, BH**. This critical role involves developing and implementing advanced analytical models and machine learning algorithms to extract actionable insights from complex datasets, supporting strategic business decisions and product development. The Lead Data Scientist will lead projects from conception to deployment, including data acquisition, preprocessing, feature engineering, model selection, training, validation, and deployment. You will be responsible for identifying opportunities where AI/ML can provide significant business value, collaborating closely with business stakeholders, engineers, and product managers. Key responsibilities include staying abreast of the latest advancements in AI/ML, mentoring junior data scientists, and presenting findings to executive leadership. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 7 years of progressive experience in data science, with at least 3 years in a lead or senior role focusing on AI/ML development, is required. Proven expertise in programming languages such as Python or R, and proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) are essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Strong communication, presentation, and stakeholder management skills are crucial. Join our client in **Sitra, Capital, BH** and shape the future of data-driven innovation.
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3
Senior Data Scientist - AI Specialization
BH-704 Hamad Town, Northern
BHD85000 Annually
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Our client is looking for a highly analytical and innovative Senior Data Scientist with a specialization in Artificial Intelligence to join their dynamic team in Hamad Town, Northern, BH . This role is critical in leveraging advanced data science techniques and AI/ML models to extract actionable insights and drive business value. The ideal candidate will have a Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline, coupled with extensive experience in data analysis, model development, and deployment. You will be responsible for designing, building, and implementing sophisticated AI and machine learning models to solve complex business problems, ranging from predictive analytics to recommendation systems and natural language processing. Collaboration with cross-functional teams, including product managers and engineers, to understand data needs and deliver data-driven solutions will be a key aspect of this role. The Senior Data Scientist will also mentor junior team members, contribute to the development of data infrastructure, and stay abreast of the latest advancements in data science and AI. Strong proficiency in programming languages like Python or R, along with experience using various data science libraries and big data technologies (e.g., Spark, Hadoop), is essential. Our client offers a challenging and rewarding work environment, opportunities to work with large and diverse datasets, and the chance to make a significant impact through data-driven innovation.
Qualifications:
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, with a focus on AI/ML model development and deployment.
- Strong proficiency in Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and big data technologies (e.g., Spark, Hadoop).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Excellent problem-solving and communication skills.
- Experience in deploying models into production environments is a plus.
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4
Graduate Data Scientist - Financial Services
101 Ghuraifa, Capital
BHD30 Hourly
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Our client, a prominent financial institution in **Manama, Capital, BH**, is looking for bright and ambitious Graduate Data Scientists to join their dynamic analytics team as interns. This internship offers an unparalleled opportunity for recent graduates to apply their academic knowledge in a real-world setting, working on challenging projects that drive business insights and strategy. The ideal candidate will have a strong foundation in statistical modeling, machine learning, programming, and a keen interest in the financial sector. As a Data Scientist Intern, you will:
- Collaborate with senior data scientists and business stakeholders on various analytics projects.
- Assist in data collection, cleaning, and preprocessing from diverse financial data sources.
- Develop and implement statistical models and machine learning algorithms to uncover trends, patterns, and insights.
- Perform exploratory data analysis (EDA) to understand data characteristics and identify potential variables for modeling.
- Contribute to the development of predictive models for customer behavior, risk assessment, fraud detection, and market trends.
- Visualize data and model results effectively for clear communication to both technical and non-technical audiences.
- Participate in code reviews and contribute to the team's knowledge sharing and best practices.
- Learn and utilize advanced analytical tools and technologies relevant to the financial industry.
- Present findings and recommendations to project teams and management.
- Engage in continuous learning and professional development within the field of data science and finance.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a closely related quantitative field.
- Strong understanding of statistical concepts, probability, and hypothesis testing.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R.
- Experience with SQL for data extraction and manipulation.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills, with the ability to articulate complex concepts clearly.
- A proactive attitude, a desire to learn, and the ability to work effectively in a team environment.
- Prior exposure to financial data or markets is a plus, but not strictly required.
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5
Senior AI/ML Engineer - Predictive Analytics
20255 Tubli
BHD155000 Annually
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Our client is at the forefront of innovation and is seeking a highly skilled Senior AI/ML Engineer specializing in Predictive Analytics to join their cutting-edge team in **Tubli, Capital, BH**. This role is crucial for developing and deploying advanced machine learning models that drive business insights and solutions. The ideal candidate will possess a strong foundation in machine learning algorithms, deep learning, statistical modeling, and experience with large-scale data. You will work on challenging problems, transforming data into actionable intelligence. Key responsibilities include:
Qualifications:
This is an unparalleled opportunity to work with state-of-the-art technologies and contribute to groundbreaking AI solutions that shape the future of industry.
- Designing, developing, and implementing sophisticated AI and machine learning models for predictive analytics, forecasting, and anomaly detection.
- Collaborating with data scientists, engineers, and business stakeholders to define project requirements and translate business needs into technical solutions.
- Building and optimizing data pipelines for model training and deployment.
- Evaluating and selecting appropriate algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) for various tasks.
- Deploying machine learning models into production environments and monitoring their performance.
- Conducting rigorous A/B testing and validation of models to ensure accuracy and reliability.
- Staying current with the latest research and advancements in AI, machine learning, and deep learning.
- Mentoring junior engineers and contributing to the team's technical expertise.
- Communicating complex technical concepts and results to both technical and non-technical audiences.
- Contributing to the company's intellectual property through research and development.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in developing and deploying AI/ML models in production environments.
- Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and feature engineering.
- Strong programming skills in Python or R, with extensive experience using ML libraries.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Familiarity with MLOps practices and tools for model lifecycle management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities.
- Experience in time-series analysis or natural language processing is a plus.
This is an unparalleled opportunity to work with state-of-the-art technologies and contribute to groundbreaking AI solutions that shape the future of industry.
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6
Senior AI/Machine Learning Engineer - Predictive Analytics
106 Busaiteen, Muharraq
BHD100000 Annually
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Our client is seeking a highly skilled and innovative Senior AI/Machine Learning Engineer to join their advanced technology team in Busaiteen, Muharraq, BH . This role is central to developing and deploying sophisticated AI and machine learning models for predictive analytics, driving significant improvements in business decision-making and operational efficiency. The ideal candidate will have a strong theoretical foundation in AI/ML, extensive practical experience with deep learning frameworks, and a passion for tackling complex data challenges.
Responsibilities:
Responsibilities:
- Design, develop, train, and deploy advanced machine learning models for predictive analytics, anomaly detection, and forecasting.
- Build and maintain robust data pipelines for data ingestion, preprocessing, and feature engineering.
- Collaborate with data scientists and business stakeholders to understand requirements and translate them into AI/ML solutions.
- Evaluate model performance, conduct rigorous testing, and optimize models for accuracy, scalability, and efficiency.
- Implement and manage ML models in production environments, ensuring reliability and performance.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Contribute to the development of AI/ML strategies and roadmaps.
- Develop documentation for models, algorithms, and data processes.
- Mentor junior engineers and contribute to the growth of the AI/ML team.
- Explore and implement new AI technologies and frameworks to enhance capabilities.
- Ensure compliance with data privacy regulations and ethical AI practices.
- Communicate complex technical concepts to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5-7 years of professional experience in AI/Machine Learning engineering, with a strong focus on predictive modeling and data science.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn, Pandas) and R.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of various ML algorithms, deep learning architectures, and statistical modeling techniques.
- Proven ability to build and deploy end-to-end machine learning systems.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills.
- Experience with MLOps practices and tools is a significant plus.
- A portfolio of AI/ML projects demonstrating practical application is highly valued.
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7
Graduate Trainee - Data Analysis
334 Zallaq, Southern
BHD1500 Annually
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Our client is offering an exceptional opportunity for ambitious graduates to embark on a career in Data Analysis through a comprehensive trainee program based in Zallaq, Southern, BH . This program is designed to provide hands-on experience and intensive training in data interpretation, visualization, and reporting. As a Graduate Trainee, you will work alongside experienced data professionals, learning to collect, clean, and analyze large datasets to extract meaningful insights that drive business decisions. You will gain exposure to various analytical tools and techniques, including SQL, Python for data analysis, and data visualization software like Tableau or Power BI. Key responsibilities will involve assisting with data extraction, performing data quality checks, generating reports, and creating dashboards to present findings. You will also support senior analysts in identifying trends, patterns, and anomalies within data. This internship offers a fantastic foundation for a career in data analytics, providing exposure to real-world business challenges and the opportunity to develop critical skills. The ideal candidate possesses a strong aptitude for numbers, a keen eye for detail, excellent problem-solving abilities, and a passion for learning. Strong communication skills, both written and verbal, are essential, as you will be involved in presenting findings and collaborating with team members. A degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline is required. This is a unique chance to kick-start your career with valuable practical experience and mentorship.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform data validation and quality checks to ensure accuracy.
- Support senior analysts in conducting data analysis and interpretation.
- Develop and generate reports and dashboards to visualize data insights.
- Identify trends, patterns, and anomalies within datasets.
- Collaborate with team members on data-related projects.
- Learn and apply various data analysis tools and techniques.
- Assist in documenting data processes and methodologies.
- Contribute to the development of data-driven solutions.
- Participate in training sessions and skill-building activities.
Qualifications:
- Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with SQL is a plus.
- Basic understanding of data visualization tools (e.g., Tableau, Power BI) is advantageous.
- Excellent communication and interpersonal skills.
- Eagerness to learn and develop skills in data analysis.
- Ability to work effectively in a team environment.
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8
Principal Machine Learning Engineer
1093 Riffa, Southern
BHD12000 Annually
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Our client, a cutting-edge artificial intelligence research and development firm, is seeking a highly accomplished Principal Machine Learning Engineer to lead their advanced AI initiatives in Riffa, Southern, BH . This senior position will involve designing, developing, and deploying sophisticated machine learning models and algorithms for a variety of complex applications. You will be at the forefront of innovation, working with large-scale datasets, state-of-the-art deep learning frameworks, and cloud-based ML platforms. Responsibilities include architecting scalable ML systems, optimizing model performance, conducting rigorous experimentation, and mentoring junior engineers. The ideal candidate will possess a deep theoretical understanding of machine learning and statistical modeling, coupled with extensive practical experience in building and deploying production-level ML solutions. Expertise in programming languages such as Python, along with proficiency in ML libraries (TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP), is essential. A Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field is strongly preferred, along with a minimum of 10 years of experience in machine learning engineering, including significant experience in a leadership or principal role. Experience with natural language processing, computer vision, or reinforcement learning is highly desirable. This is a remarkable opportunity to drive significant advancements in AI and shape the future of technology.
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