95 Data Scientists jobs in Bahrain

Junior Data Scientist - Big Data Analytics

403 Tubli, Central BHD50000 Annually WhatJobs

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internship
Our client is seeking an aspiring and highly motivated Junior Data Scientist to join their innovative data analytics team. This is a fully remote, entry-level internship position perfect for individuals eager to launch their career in data science by working with cutting-edge big data technologies. You will collaborate with senior data scientists and engineers to analyze complex datasets, develop predictive models, and extract valuable insights to drive business decisions. This role offers a structured learning environment where you will gain hands-on experience in data cleaning, feature engineering, model building, and performance evaluation. Responsibilities include assisting in the development and implementation of data pipelines, conducting exploratory data analysis, building and testing machine learning models under supervision, and contributing to the documentation of findings and methodologies. The ideal candidate possesses a strong foundation in statistics, mathematics, and programming, with a particular interest in big data and artificial intelligence. Proficiency in Python or R, along with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn), is essential. Familiarity with SQL and big data platforms (e.g., Hadoop, Spark) is a significant advantage. We are looking for individuals with excellent analytical and problem-solving skills, a keen curiosity, and a proactive attitude. As a remote intern, you will need to be self-disciplined, organized, and possess strong communication skills to effectively collaborate with a distributed team. This is an exceptional opportunity to gain practical experience, build a professional network, and contribute to impactful data-driven projects. If you are passionate about uncovering patterns in data and are excited to learn and grow in a remote, collaborative setting, we encourage you to apply.
Key Responsibilities:
  • Assist in collecting, cleaning, and transforming large datasets.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and implementation of machine learning models.
  • Help build and test predictive models using statistical techniques.
  • Contribute to the creation of data visualizations and reports.
  • Collaborate with senior data scientists on various analytical projects.
  • Learn and apply new data science tools and technologies.
  • Document methodologies, findings, and code.
  • Participate in team meetings and contribute to discussions.
  • Assist in maintaining and optimizing data infrastructure.
Qualifications:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, 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 science libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Familiarity with SQL and database querying.
  • Understanding of big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills.
  • Ability to work independently and manage time effectively in a remote environment.
  • Enthusiasm for data science and continuous learning.
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Graduate Trainee - Data Analysis

BH3 Ghuraifa, Capital BHD30000 Annually WhatJobs

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intern
Our client is offering an exciting opportunity for a motivated Graduate Trainee to join their Data Analysis team in Budaiya, Northern, BH . This program is designed for recent graduates eager to launch their careers in data science and analytics. Under the guidance of experienced professionals, you will gain hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to extract valuable insights. You will assist in developing reports, dashboards, and visualizations that communicate findings effectively to stakeholders. The ideal candidate will possess a strong analytical mindset, a keen interest in data, and proficiency in basic statistical concepts. Familiarity with data analysis tools and programming languages such as Excel, SQL, Python, or R is advantageous. You will learn to identify trends, patterns, and correlations within data, contributing to data-driven decision-making across the organization. This internship provides a comprehensive introduction to the field of data analysis, covering data manipulation, statistical modeling, and presentation techniques. You will work on real-world projects, contributing to meaningful business outcomes. We are seeking enthusiastic individuals with a passion for learning and a desire to develop their skills in a supportive and challenging environment. This is an exceptional pathway to building a successful career in data analytics.

Key Responsibilities:
  • Assist in collecting and organizing data from various sources.
  • Perform data cleaning and preprocessing tasks.
  • Conduct exploratory data analysis to identify trends and patterns.
  • Support the creation of reports, dashboards, and data visualizations.
  • Help in interpreting data and generating insights for business stakeholders.
  • Learn and apply various data analysis techniques and tools.
  • Contribute to data quality assurance efforts.
  • Participate in team meetings and present findings.
  • Collaborate with senior analysts on ongoing projects.
  • Develop foundational skills in statistical analysis and data modeling.
Qualifications:
  • Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Strong analytical and quantitative skills.
  • Proficiency in Microsoft Excel; knowledge of SQL is a plus.
  • Familiarity with programming languages like Python or R is advantageous.
  • Excellent problem-solving abilities and attention to detail.
  • Good communication and interpersonal skills.
  • Eagerness to learn and develop new skills in data analysis.
  • Ability to work effectively in a team.
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Graduate Trainee - Data Analysis

101 Sidon BHD2000 month WhatJobs

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intern
Our client is offering an exceptional Graduate Trainee opportunity for recent graduates interested in a career in Data Analysis. This program is designed to equip you with the essential skills and practical experience needed to excel in the field. You will work within a supportive team, learning to collect, clean, analyze, and interpret complex datasets to provide actionable insights. The role involves assisting senior data analysts in developing reports, creating visualizations, and identifying trends that drive business decisions. This position is based in Hidd, Muharraq, BH . Key responsibilities include data extraction from various sources, performing statistical analysis, and contributing to the development of data models. You will gain hands-on experience with data analysis tools and techniques. The ideal candidate will possess strong quantitative and analytical skills, a keen eye for detail, and a passion for uncovering patterns within data. Excellent communication skills are necessary to effectively present findings to both technical and non-technical audiences. This trainee position is a perfect launchpad for an aspiring data professional seeking to build a solid foundation in a rapidly evolving industry. We are looking for enthusiastic, curious individuals eager to learn and contribute to impactful data-driven projects.

Responsibilities:
  • Assist in collecting, cleaning, and organizing large datasets from various sources.
  • Perform data analysis using statistical methods and tools.
  • Develop reports and dashboards to visualize data insights.
  • Identify trends, patterns, and anomalies within datasets.
  • Support senior analysts in building predictive models.
  • Collaborate with cross-functional teams to understand data needs.
  • Ensure data accuracy and integrity throughout the analysis process.
  • Learn and apply various data analysis software and techniques.
  • Assist in documenting data processes and methodologies.
  • Present findings and recommendations to stakeholders.
Qualifications:
  • Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools (e.g., Excel, SQL, Python/R basics).
  • Excellent attention to detail and accuracy.
  • Good written and verbal communication skills.
  • Ability to work collaboratively in a team environment.
  • A strong desire to learn and develop expertise in data analysis.
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Remote Graduate Trainee - Data Analysis

777 Southern, Southern BHD20 Hourly WhatJobs

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intern
Our client is excited to offer a fully remote Graduate Trainee position focused on Data Analysis. This is an exceptional opportunity for recent graduates to launch their careers in a dynamic, data-driven environment, all from the comfort of their home. You will work alongside experienced data scientists and analysts, gaining hands-on experience in collecting, cleaning, transforming, and analyzing large datasets. Your responsibilities will include assisting in the development of data models, running statistical analyses, and generating reports and visualizations to communicate findings. You will learn to use various data analysis tools and techniques, contributing to projects that drive business insights and decision-making. A key aspect of this role involves supporting the data team in identifying trends, patterns, and anomalies within data. You will also assist in maintaining data integrity and ensuring the accuracy of analytical outputs. The ideal candidate will have a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline, with a strong academic record. A foundational understanding of statistical concepts and data analysis principles is required. Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is highly desirable. Excellent analytical thinking, problem-solving skills, and a keen attention to detail are essential. Strong communication skills, both written and verbal, are important for collaborating effectively in a remote setting. A proactive attitude, a willingness to learn, and a passion for data are paramount. This is a fantastic entry-level position to gain valuable practical experience and develop critical skills in data analysis within a supportive, fully remote framework.
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Senior Geologist - Remote Sensing & Data Analysis

1020 Northern, Northern BHD90000 Annually WhatJobs

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full-time
Our client is seeking a highly skilled and experienced Senior Geologist specializing in Remote Sensing and Data Analysis to join their dynamic team. This is a crucial, fully remote position that leverages cutting-edge technologies to explore and analyze geological data for mining and resource exploration projects. The successful candidate will be responsible for acquiring, processing, and interpreting vast amounts of geospatial data, including satellite imagery, LiDAR, and aerial photography, to identify promising exploration targets. You will develop and apply advanced analytical techniques, utilizing various software platforms to extract meaningful geological insights.

Key responsibilities include creating detailed geological maps, modeling subsurface structures, and assessing mineral prospectivity. You will work closely with exploration teams, providing remote guidance and critical data-driven recommendations to inform drilling programs and strategic decision-making. The ideal candidate will possess a strong background in structural geology, mineralogy, and geochemistry, complemented by expertise in remote sensing principles and data processing workflows. Experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine) is essential. Proficiency in programming languages such as Python or R for data analysis and automation is highly desirable.

We are looking for a candidate with a Master's degree or Ph.D. in Geology, Geophysics, or a related field, with at least 7 years of relevant experience in geological exploration, with a significant focus on remote sensing and data analysis. A proven ability to manage complex datasets, troubleshoot technical challenges, and communicate findings effectively to both technical and non-technical audiences is required. This role demands a high degree of autonomy, excellent problem-solving skills, and a passion for uncovering the Earth's resources through innovative technological approaches. If you are a forward-thinking geologist ready to contribute your expertise to significant mining projects from a remote setting, we encourage you to apply. The **location** for this role is considered **Shakhura, Northern, BH**, however, the duties are performed remotely.
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Principal Data Scientist - Machine Learning

101 Shahrakan BHD150000 Annually WhatJobs

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full-time
Our client is seeking a world-class Principal Data Scientist with extensive expertise in machine learning and artificial intelligence to lead groundbreaking initiatives within our fully remote R&D division. This is a senior leadership role responsible for defining the strategic direction of our data science efforts, mentoring junior scientists, and driving the development and deployment of advanced predictive models and algorithms. You will tackle complex business problems by leveraging vast datasets, applying cutting-edge machine learning techniques, and translating insights into actionable strategies that impact core business functions. Your responsibilities will include designing and implementing machine learning pipelines, developing novel algorithms, conducting rigorous model evaluation, and communicating complex findings to both technical and non-technical audiences. You will also stay abreast of the latest advancements in AI/ML research and explore opportunities to integrate new technologies.

The ideal candidate will possess a deep theoretical understanding and practical experience in various machine learning paradigms, including supervised, unsupervised, and reinforcement learning. Strong programming skills in Python or R, along with extensive experience with libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas, are mandatory. Proficiency in big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL) is also required. You should have a proven track record of delivering impactful data science solutions that have driven significant business value. Excellent communication, leadership, and collaboration skills are essential for working effectively within a distributed team environment. A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with a minimum of 10 years of professional experience in data science and machine learning. This remote-first position offers the opportunity to work on challenging problems with a talented team, impacting the future of our client's business. This role is conceptually based in Manama, Capital, BH , but operates entirely remotely.
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Senior Data Scientist, Machine Learning

10003 Jbeil BHD170000 Annually WhatJobs

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full-time
Our client, a cutting-edge technology firm, is seeking a talented and experienced Senior Data Scientist specializing in Machine Learning to join their world-class team. This is a fully remote position, offering the chance to work on challenging problems and contribute to innovative solutions without geographical constraints. The Senior Data Scientist will be responsible for designing, developing, and deploying sophisticated machine learning models that drive business insights and product enhancements. You will collaborate with engineering, product, and business teams to identify opportunities, extract valuable data, and translate complex findings into actionable strategies. The ideal candidate possesses a strong analytical foundation, expertise in statistical modeling and ML algorithms, and a passion for solving real-world problems with data.

Key Responsibilities:
  • Design, develop, and implement machine learning models for prediction, classification, clustering, and recommendation systems.
  • Clean, process, and analyze large, complex datasets from various sources.
  • Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
  • Deploy machine learning models into production environments and monitor their performance.
  • Collaborate with software engineers to integrate ML models into existing applications and workflows.
  • Communicate complex analytical findings and recommendations to both technical and non-technical stakeholders.
  • Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
  • Develop and maintain robust data pipelines and ETL processes.
  • Contribute to the development of data strategy and long-term vision for data utilization.
  • Mentor junior data scientists and promote best practices in data science.
This role is 100% remote. We require a Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 6 years of professional experience in data science and machine learning is mandatory. Proven experience with Python or R, along with ML libraries such as scikit-learn, TensorFlow, or PyTorch, is essential. Strong understanding of SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (e.g., AWS, Azure, GCP) is required. Excellent analytical, problem-solving, and communication skills are paramount. If you are passionate about leveraging data to drive innovation and seeking a remote role with significant impact, join our client's team and contribute to advancements in AI from your home base, supporting operations near Salmabad, Northern, BH .
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Junior Data Scientist - Machine Learning

987 Tubli BHD30000 Annually WhatJobs

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intern
Our client is excited to offer a fully remote Junior Data Scientist position focused on Machine Learning. This is an exceptional opportunity for aspiring data scientists to gain hands-on experience within a cutting-edge organization. You will be working alongside experienced data scientists and engineers, contributing to the development and deployment of machine learning models that drive business innovation. This role is ideal for individuals with a strong theoretical foundation in data science and a passion for applying statistical and computational techniques to real-world problems. As a remote-first role, you will have the flexibility to work from your chosen location, collaborating with a globally distributed team.

Key Responsibilities:
  • Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
  • Support the development, training, and evaluation of machine learning models under the guidance of senior team members.
  • Perform exploratory data analysis to identify patterns, trends, and insights.
  • Implement data visualization techniques to communicate findings effectively.
  • Collaborate with engineering teams to integrate models into production environments.
  • Research and stay updated on the latest advancements in data science and machine learning algorithms.
  • Document methodologies, code, and results clearly and comprehensively.
  • Contribute to the design and execution of A/B tests and other experiments.
  • Assist in the interpretation of model results and their business implications.
  • Participate in team meetings and knowledge-sharing sessions.
This position requires a keen analytical mind, strong problem-solving skills, and a demonstrated ability to learn quickly. You should be comfortable working with programming languages commonly used in data science, such as Python or R. Excellent communication skills are essential for effective collaboration in a remote setting. You will be provided with the necessary tools and support to succeed in this challenging yet rewarding role.

Qualifications:
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
  • Proficiency in Python or R, including relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
  • Experience with SQL for data querying and manipulation.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage time effectively in a remote environment.
  • A proactive attitude and a genuine passion for data science.
Join our client's innovative team and kickstart your career in data science. This role is based in Isa Town, Southern, BH , but is fully remote.
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Lead Data Scientist, AI & Machine Learning

BH11223 Tubli BHD120000 Annually WhatJobs

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full-time
Our client, a cutting-edge research and development organization in Isa Town, Southern, BH , is seeking an innovative and experienced Lead Data Scientist specializing in Artificial Intelligence and Machine Learning. This is a fully remote role, offering a unique opportunity to drive impactful research and development initiatives from a location of your choice. You will lead a team of talented data scientists and engineers, spearheading the development and deployment of advanced AI/ML models that solve complex scientific challenges. The ideal candidate possesses a strong theoretical foundation in machine learning algorithms, deep learning frameworks, and statistical modeling, coupled with practical experience in applying these techniques to real-world problems.

Your responsibilities will include defining the technical vision and roadmap for AI/ML projects, overseeing the entire lifecycle from data acquisition and preprocessing to model training, evaluation, and deployment. You will mentor and guide junior team members, foster a collaborative research environment, and stay abreast of the latest advancements in the field. Collaborating with domain experts across various scientific disciplines to understand their needs and translate them into data-driven solutions will be critical. Designing and implementing robust data pipelines, feature engineering strategies, and experimentation frameworks are integral to the role. You will be expected to present complex findings and technical details to both technical and non-technical audiences, including senior leadership and external stakeholders. Developing and championing best practices for model reproducibility, scalability, and ethical AI usage is paramount.

We require a Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field. A minimum of 8 years of experience in data science, with at least 3 years in a leadership or lead role focusing on AI/ML is essential. Proven track record of successfully developing and deploying production-level AI/ML models is a must. Expertise in programming languages such as Python or R, and proficiency with ML libraries like TensorFlow, PyTorch, scikit-learn, and Keras are required. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. Excellent understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning, is critical. Strong communication, presentation, and interpersonal skills are necessary for effective leadership and collaboration. The ability to think critically, solve complex problems, and innovate in a fast-paced, remote environment is key. Join our client's mission to push the boundaries of scientific discovery through advanced AI.
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Junior Data Scientist - AI & Machine Learning

N/A Durrat Al Bahrain BHD20 Hourly WhatJobs

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intern
Our client is actively seeking ambitious and motivated Junior Data Scientists for a fully remote internship program. This is an exceptional opportunity for individuals passionate about artificial intelligence and machine learning to gain hands-on experience in a cutting-edge environment. You will collaborate with senior data scientists and engineers on challenging projects, contributing to the development and deployment of innovative AI models. The program is designed to provide comprehensive training and mentorship, allowing interns to learn and grow their skills in areas such as data preprocessing, model building, algorithm selection, and performance evaluation. Success in this role requires a strong analytical mindset, a solid foundation in mathematics and statistics, and a keen interest in leveraging data to solve complex problems.

Responsibilities:
  • Assist in data collection, cleaning, and preprocessing for various machine learning projects.
  • Support the development and implementation of predictive models and algorithms.
  • Conduct exploratory data analysis to identify trends, patterns, and insights.
  • Contribute to the evaluation and refinement of model performance metrics.
  • Collaborate with team members on code development, testing, and documentation.
  • Research and stay updated on the latest advancements in AI and machine learning.
  • Participate in team meetings and present findings from analyses.
  • Help in visualizing data and model outputs for reporting purposes.
  • Adhere to data privacy and security best practices.
  • Gain practical experience with various data science tools and platforms.
Qualifications:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Solid understanding of fundamental machine learning concepts and algorithms.
  • Proficiency in programming languages such as Python or R.
  • Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, both written and verbal.
  • Ability to work independently and manage time effectively in a remote setting.
  • Eagerness to learn and contribute to a collaborative team environment.
  • Understanding of SQL and database principles is a plus.
  • Previous project experience or coursework in AI/ML is highly valued.
This remote internship is an ideal stepping stone for aspiring data scientists looking to build a career in AI and machine learning. All work will be conducted remotely, offering flexibility and the opportunity to learn from experts regardless of your location.
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