652 Data Applications jobs in Bahrain
UI/UX Designer - Mobile Application Development
Posted 5 days ago
Job Viewed
Job Description
Senior UX/UI Designer - Mobile Application Development
Posted 7 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the UX/UI design process for mobile applications, from concept to launch.
- Conduct user research, including interviews, surveys, and usability testing.
- Create user personas, journey maps, wireframes, low-fidelity mockups, and high-fidelity prototypes.
- Design intuitive and visually appealing user interfaces for iOS and Android platforms.
- Develop and maintain design systems and style guides.
- Collaborate closely with product managers, engineers, and other stakeholders to define product requirements and design solutions.
- Articulate and defend design choices based on user research, data, and design principles.
- Iterate on designs based on user feedback, usability testing, and performance data.
- Stay up-to-date with the latest trends and best practices in mobile UX/UI design.
- Mentor junior designers and contribute to a culture of design excellence.
Qualifications:
- Bachelor's degree in Design, Human-Computer Interaction (HCI), Graphic Design, or a related field.
- Minimum of 7 years of experience in UX/UI design, with a significant focus on mobile applications.
- A strong portfolio showcasing a range of successful mobile app design projects.
- Proficiency in design and prototyping tools such as Figma, Sketch, Adobe XD, InVision.
- Deep understanding of user-centered design principles, mobile UI patterns, and platform guidelines (iOS Human Interface Guidelines, Android Material Design).
- Experience conducting user research and usability testing.
- Excellent visual design skills, with a strong sense of typography, color, and layout.
- Strong communication, presentation, and interpersonal skills.
- Ability to work independently and effectively in a remote, collaborative team environment.
- Experience with agile development methodologies is a plus.
Senior UX/UI Designer - Mobile Application Development
Posted 16 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct user research, including interviews, surveys, and usability testing, to understand user needs and behaviors.
- Translate user needs and business requirements into intuitive and engaging user interface designs.
- Create wireframes, user flows, journey maps, and interactive prototypes to communicate design concepts.
- Develop high-fidelity visual designs, including screen layouts, color palettes, typography, and iconography.
- Ensure design consistency across all mobile platforms (iOS and Android) and product lines.
- Collaborate closely with product managers, developers, and other designers to define and implement design solutions.
- Advocate for user-centered design principles and best practices throughout the product development process.
- Iterate on designs based on user feedback, data analytics, and A/B testing results.
- Stay current with the latest UX/UI trends, technologies, and design patterns.
- Present design concepts and rationale to cross-functional teams and stakeholders.
- Contribute to the development and maintenance of design systems and style guides.
- Mentor junior designers and provide constructive feedback.
- Participate actively in agile development ceremonies and contribute to a collaborative remote environment.
- Bachelor's degree in Design, HCI, Computer Science, or a related field; equivalent practical experience will be considered.
- 5+ years of professional experience in UX/UI design, with a significant focus on mobile application design.
- A strong portfolio showcasing a range of mobile design projects, demonstrating user-centered design principles and visual design skills.
- Proficiency in design and prototyping tools such as Figma, Sketch, Adobe XD, InVision.
- Solid understanding of mobile design patterns, platform guidelines (iOS Human Interface Guidelines, Android Material Design), and responsive design principles.
- Experience conducting user research and usability testing.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently, manage time effectively, and collaborate seamlessly in a remote setting.
- Familiarity with front-end development principles is a plus.
- Passion for creating elegant, user-friendly, and impactful digital experiences.
Junior Data Scientist, Machine Learning Applications
Posted 6 days ago
Job Viewed
Job Description
As a Junior Data Scientist, you will assist in collecting, cleaning, and preprocessing large datasets from various sources. You will be involved in exploring data to identify patterns, trends, and anomalies, and collaborate with the team to develop and validate predictive models using machine learning algorithms. Your responsibilities will include feature engineering, model selection, hyperparameter tuning, and performance evaluation. You will also assist in visualizing data and presenting findings to stakeholders in a clear and concise manner.
This internship requires a solid understanding of statistical concepts and programming proficiency in languages such as Python or R, along with experience in relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will have the opportunity to work on diverse projects, potentially involving areas like natural language processing, computer vision, or predictive analytics, depending on business needs and your interests. The ability to work effectively in a team, communicate technical concepts, and a proactive approach to problem-solving are essential. This position is based in Seef, Capital, BH , offering a hybrid work arrangement that balances in-office collaboration with remote flexibility.
Key Responsibilities:
- Assist in data collection, cleaning, and transformation for analysis.
- Perform exploratory data analysis (EDA) to identify trends and insights.
- Support the development and implementation of machine learning models.
- Conduct feature engineering and model selection under guidance.
- Assist in model evaluation and performance tuning.
- Collaborate with senior data scientists on model deployment and monitoring.
- Create data visualizations and reports to communicate findings.
- Participate in team meetings and contribute to project discussions.
- Learn and apply new data science techniques and tools.
- Maintain documentation of analysis and model development processes.
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in Python or R, including experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools and techniques.
- Basic understanding of database concepts and SQL.
- Excellent analytical and problem-solving skills.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team.
- Enthusiasm for learning and a strong desire to contribute to impactful projects.
Junior Data Scientist, Machine Learning Applications
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Develop, train, and evaluate machine learning models under the guidance of senior team members.
- Perform exploratory data analysis (EDA) to uncover insights and identify patterns.
- Contribute to the implementation and deployment of machine learning models into production environments.
- Collaborate with other teams to understand their data needs and provide analytical support.
- Document methodologies, findings, and results clearly and concisely.
- Stay updated with the latest advancements in data science and machine learning technologies.
- Participate in code reviews and contribute to improving data science workflows.
- Present findings and insights to the team in a clear and understandable manner.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of machine learning algorithms (e.g., regression, classification, clustering) and statistical modeling.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Understanding of data manipulation and database querying (e.g., SQL).
- Strong analytical and problem-solving skills.
- Excellent communication skills and the ability to explain technical concepts to a non-technical audience.
- Self-motivated, detail-oriented, and able to manage time effectively in a remote setting.
- A keen interest in developing a career in data science and machine learning.
Junior Data Scientist - Machine Learning Applications
Posted 14 days ago
Job Viewed
Job Description
Junior Data Scientist - Machine Learning Applications
Posted 15 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Contribute to the evaluation and validation of model performance.
- Help in visualizing data and presenting findings to the team.
- Learn and apply various data science tools and techniques, including programming languages and libraries.
- Collaborate with cross-functional teams to understand project requirements.
- Document methodologies and results clearly and concisely.
- Participate in team meetings and contribute to problem-solving discussions.
- Gain exposure to different stages of the data science project lifecycle.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools.
- Strong analytical and problem-solving skills.
- Eagerness to learn and a proactive attitude.
- Good communication and teamwork abilities.
- Prior internship or project experience in data science is a plus.
Be The First To Know
About the latest Data applications Jobs in Bahrain !
Junior Data Scientist, Machine Learning Applications
Posted 15 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in the development, implementation, and maintenance of machine learning models.
- Perform data collection, cleaning, transformation, and feature engineering from various data sources.
- Conduct exploratory data analysis (EDA) to identify patterns and insights.
- Build, train, and evaluate predictive models using statistical techniques and machine learning algorithms.
- Collaborate with senior data scientists and software engineers to integrate models into production environments.
- Document data science processes, methodologies, and results.
- Stay up-to-date with the latest advancements in data science and machine learning.
- Support A/B testing and performance monitoring of deployed models.
- Communicate findings and insights to both technical and non-technical stakeholders.
- Contribute to the continuous improvement of data science workflows and tools.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid 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 machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Basic knowledge of SQL and database querying.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Eagerness to learn and adapt to new technologies and challenges.
- Attention to detail and a methodical approach to work.
Junior Data Scientist - Machine Learning Applications
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Visualize data and model results to communicate findings effectively.
- Collaborate with cross-functional teams to understand data needs and project requirements.
- Assist in the evaluation and tuning of model performance.
- Contribute to documentation of data science processes, methodologies, and findings.
- Stay updated on the latest advancements in data science, machine learning, and AI.
- Participate in team meetings, brainstorming sessions, and code reviews.
- Learn and apply best practices for reproducible research and production deployment.
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.
- Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and teamwork abilities.
- Ability to work effectively in a remote setting with minimal supervision.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior experience with SQL and database querying is a plus.
This is an exceptional chance for aspiring data scientists to kick-start their careers in a cutting-edge field. If you are eager to apply your academic knowledge to practical challenges and thrive in a remote work culture, we encourage you to apply. While the role is remote, the focus is on supporting business operations related to Isa Town, Southern, BH .
Junior Data Scientist - Machine Learning Applications
Posted 25 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Develop and implement machine learning models under the guidance of senior team members.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Conduct statistical analysis and hypothesis testing.
- Assist in the evaluation and validation of model performance.
- Contribute to the documentation of data science processes and findings.
- Collaborate with other team members in a remote setting, participating in code reviews and brainstorming sessions.
- Learn and apply new data science techniques and tools.
- Support the deployment and monitoring of machine learning models.
- Present findings and results to the team in a clear and concise manner.
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 (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow/PyTorch).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, problem-solving, and critical thinking skills.
- Good written and verbal communication skills for effective remote collaboration.
- Eagerness to learn and a proactive attitude towards taking on new challenges.
- Ability to work independently and manage time effectively in a remote internship setting.
- Previous internship or project experience in data science is a plus.