827 Data Mining jobs in Manama
Senior Data Scientist - Mining Operations
2400 Seef, Capital
BHD170000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client, a leading global mining corporation, is seeking an exceptional Senior Data Scientist to join their remote-based analytics team. This role is crucial for leveraging advanced data analytics, machine learning, and AI to optimize mining operations, improve safety, and drive efficiency across the entire value chain. You will work with vast datasets from exploration, extraction, processing, and logistics to uncover actionable insights. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques, with a proven ability to apply them to complex operational challenges in the mining industry. Your responsibilities will include developing predictive models for equipment failure, optimizing resource allocation, enhancing ore grade prediction, and improving safety protocols. You will collaborate with geologists, engineers, and operational managers to identify opportunities for data-driven improvements and translate complex analytical findings into business solutions. Proficiency in programming languages such as Python or R, experience with big data technologies (e.g., Spark, Hadoop), and familiarity with cloud platforms (AWS, Azure, GCP) are essential. We are looking for a strategic thinker with strong problem-solving skills, excellent communication abilities, and a passion for innovation in the mining sector. This is a unique opportunity to make a significant impact on a global scale, working remotely to shape the future of responsible and efficient resource extraction. If you are driven by data and excited about solving challenging problems in the extractive industries, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Develop and implement machine learning models for predictive maintenance, operational optimization, and resource forecasting.
- Analyze large-scale datasets from exploration, production, and logistics to identify trends and anomalies.
- Design and build data pipelines for data collection, cleaning, and transformation.
- Collaborate with domain experts (geologists, engineers) to define analytical problems and solutions.
- Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.
- Develop dashboards and visualizations to track key performance indicators (KPIs) and operational metrics.
- Stay abreast of the latest advancements in data science, machine learning, and AI relevant to the mining industry.
- Contribute to the development of data governance policies and best practices.
- Evaluate and implement new analytical tools and technologies.
- Mentor junior data scientists and analysts.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Operations Research, or a related quantitative field.
- Minimum of 7 years of experience as a Data Scientist, with a proven track record of delivering data-driven solutions.
- Strong proficiency in Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and their data services.
- Knowledge of various machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning).
- Experience in the mining or natural resources sector is highly desirable.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and manage projects effectively in a remote setting.
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0
Remote Data Scientist - Mining Operations
1001 Al Muharraq
BHD90000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client is seeking a highly skilled and motivated Data Scientist with a specialization in mining operations to join their innovative, fully remote team. This critical role will involve leveraging advanced analytical techniques and machine learning models to extract valuable insights from vast datasets generated by mining activities. You will play a key role in optimizing operational efficiency, improving safety protocols, enhancing resource extraction, and driving strategic decision-making through data-driven solutions. This is a unique opportunity to apply your data science expertise in a challenging and impactful industry.
Responsibilities:
Responsibilities:
- Collect, clean, and preprocess large, complex datasets from various mining operations (e.g., geological data, sensor data, production logs, equipment performance data).
- Develop, implement, and validate predictive models to forecast resource yields, equipment failures, and operational risks.
- Design and execute statistical analyses to identify patterns, trends, and correlations within mining data.
- Build and deploy machine learning algorithms for applications such as optimizing drilling patterns, ore grade prediction, and energy consumption management.
- Visualize data and model results using advanced visualization tools to effectively communicate complex findings to technical and non-technical stakeholders.
- Collaborate closely with geologists, mining engineers, and operational managers to understand their data needs and challenges.
- Identify opportunities for data-driven improvements in safety, sustainability, and productivity.
- Stay current with the latest advancements in data science, machine learning, and their applications in the mining sector.
- Develop and maintain data pipelines and infrastructure to support analytical processes.
- Contribute to the development of data governance policies and best practices within the organization.
- Present findings and recommendations to senior management to influence strategic decisions.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
- Proven experience (3-5+ years) as a Data Scientist, with a strong focus on applying analytical techniques to industrial or resource-based sectors.
- Demonstrated expertise in Python or R for data analysis and machine learning, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with SQL and working with relational databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience in the mining industry, including understanding of geological data, exploration techniques, or mine planning, is highly advantageous.
- Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
- Strong problem-solving abilities and the capacity to translate business problems into analytical solutions.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Proven ability to work independently and manage projects effectively in a remote setting.
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1
Remote Lead Data Scientist - Mining Analytics
94105 Seef, Capital
BHD140000 Annually
WhatJobs
Posted 12 days ago
Job Viewed
Job Description
Our client, a global leader in the mining sector utilizing advanced technology, is seeking a highly experienced Lead Data Scientist to drive innovation in mining analytics from a remote location. This role is crucial for transforming vast amounts of operational, geological, and sensor data into actionable insights that optimize efficiency, enhance safety, and improve resource recovery. You will lead a team of data scientists and collaborate closely with geologists, engineers, and operations managers to develop predictive models, advanced algorithms, and data-driven solutions. The ideal candidate possesses a strong background in data science, machine learning, and statistical modeling, with proven experience in applying these skills within the mining or heavy industry sectors.
Responsibilities:
Qualifications:
This is an exceptional remote opportunity to leverage cutting-edge data science to revolutionize the mining industry.
Responsibilities:
- Lead the development and implementation of advanced analytics solutions for mining operations, including predictive maintenance, process optimization, resource estimation, and safety analytics.
- Mentor and guide a team of data scientists, fostering a collaborative and high-performing environment.
- Collaborate with cross-functional teams to identify key business challenges and opportunities that can be addressed through data science.
- Design, build, and deploy machine learning models and statistical algorithms using large and complex datasets.
- Develop data pipelines, conduct feature engineering, and ensure the quality and integrity of data used for analysis.
- Communicate complex analytical findings and recommendations effectively to both technical and non-technical stakeholders through visualizations and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and AI, and evaluate their applicability to mining operations.
- Contribute to the development of data governance strategies and best practices.
- Drive the adoption of data-driven decision-making across the organization.
- Manage project timelines, resources, and deliverables for data science initiatives.
Qualifications:
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of experience in data science and machine learning, with at least 3 years in a leadership or senior role.
- Proven experience in applying data science techniques to solve complex problems in the mining, energy, or heavy industry sectors.
- Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong understanding of statistical modeling, machine learning algorithms (supervised and unsupervised), and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent communication, presentation, and stakeholder management skills.
- Ability to work independently and manage complex projects in a fully remote setting.
- Familiarity with geological data, sensor data, and operational data from mining contexts is highly desirable.
This is an exceptional remote opportunity to leverage cutting-edge data science to revolutionize the mining industry.
This advertiser has chosen not to accept applicants from your region.
2
Remote Principal Data Scientist - Mining Operations
2020 Ghuraifa, Capital
BHD140000 Annually
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client is looking for an exceptional Principal Data Scientist to lead advanced analytics initiatives within their mining operations. This is a fully remote position, offering significant autonomy and the chance to work on challenging, impactful projects from anywhere. You will be instrumental in leveraging vast datasets to drive operational efficiencies, improve safety, and optimize resource extraction. This role demands a blend of deep technical expertise, strategic thinking, and leadership. Your responsibilities will encompass:
A Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with a minimum of 8 years of progressive experience in data science, with a significant portion focused on industrial or resource-based sectors. Proven experience in leading complex data science projects and a strong portfolio of successfully deployed models are essential. Expertise in Python or R, SQL, and experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Azure, GCP) are mandatory. This remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a substantial impact on the future of sustainable mining.
- Developing and deploying sophisticated machine learning models for predictive maintenance, geological modeling, and operational optimization in mining environments.
- Leading data exploration, feature engineering, and model validation processes.
- Designing and implementing scalable data pipelines and analytical frameworks.
- Collaborating closely with geologists, mining engineers, and operational managers to identify key business challenges and opportunities.
- Mentoring junior data scientists and fostering a culture of innovation.
- Communicating complex findings and recommendations to both technical and non-technical stakeholders.
- Staying at the forefront of data science and AI advancements, particularly as they apply to the mining industry.
- Ensuring data integrity, security, and ethical usage.
- Contributing to the strategic direction of data analytics within the organization.
- Automating reporting and developing dashboards for key performance indicators.
A Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with a minimum of 8 years of progressive experience in data science, with a significant portion focused on industrial or resource-based sectors. Proven experience in leading complex data science projects and a strong portfolio of successfully deployed models are essential. Expertise in Python or R, SQL, and experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Azure, GCP) are mandatory. This remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a substantial impact on the future of sustainable mining.
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Scientist - Mining & Geospatial Analysis (Remote)
12001 Manama, Capital
BHD90000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client is seeking a highly skilled Senior Data Scientist with expertise in mining and geospatial analysis to join their remote team. This role is crucial for leveraging advanced data science techniques to identify, analyze, and optimize mineral resource exploration and extraction processes. You will work with large, complex datasets including geological surveys, seismic data, satellite imagery, and operational logs. The ideal candidate will possess a strong background in statistical modeling, machine learning, data visualization, and possess specific domain knowledge in the mining industry. This is a fully remote position, requiring self-motivation, strong communication skills, and the ability to collaborate effectively with geographically dispersed teams.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement advanced statistical and machine learning models for mineral exploration, resource estimation, and operational efficiency.
- Analyze and interpret large-scale geological, geophysical, and geospatial datasets.
- Design and build data pipelines for collecting, cleaning, and transforming diverse data sources.
- Create compelling data visualizations and dashboards to communicate insights to stakeholders.
- Collaborate with geologists, engineers, and operational teams to define data-driven strategies.
- Conduct predictive modeling to forecast production, identify risks, and optimize resource allocation.
- Stay current with the latest advancements in data science, AI, and their applications in the mining sector.
- Evaluate and implement new data analysis tools and technologies.
- Develop and maintain documentation for data models, algorithms, and methodologies.
- Mentor junior data scientists and contribute to the team's technical growth.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Geophysics, or a related quantitative field.
- Minimum of 6-8 years of experience in data science, with a significant focus on the mining or natural resources sector.
- Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Strong proficiency in programming languages such as Python or R, and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with geospatial analysis tools and techniques (e.g., ArcGIS, QGIS, spatial statistics).
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Experience with data relevant to the operations in the Manama, Capital, BH region is advantageous, but the role is fully remote.
This advertiser has chosen not to accept applicants from your region.
4
Remote Lead Data Scientist - Mining Operations Analytics
45678 Al Seef
BHD130000 Annually
WhatJobs
Posted 22 days ago
Job Viewed
Job Description
Our client is seeking a visionary Remote Lead Data Scientist to pioneer advanced analytics initiatives for their global mining operations. This is a fully remote role, offering the opportunity to shape data-driven strategies that enhance efficiency, safety, and sustainability in the mining sector. You will be responsible for leading a team of data scientists and analysts in developing and deploying sophisticated machine learning models, predictive algorithms, and data visualization tools. Your work will focus on optimizing resource extraction, improving geological exploration accuracy, forecasting equipment maintenance needs, and ensuring compliance with environmental regulations. This position requires a profound understanding of data science methodologies, statistical modeling, and expertise in programming languages such as Python or R. You will collaborate closely with geologists, mining engineers, and operational managers through virtual channels to translate complex data into actionable insights. The ideal candidate is a strong communicator, capable of explaining technical findings to non-technical stakeholders, and possesses a proven ability to lead projects from conception through to production. A passion for applying advanced analytics to solve real-world challenges in the resource industry is essential. Responsibilities include:
- Leading the design, development, and implementation of data science solutions for mining operations.
- Building and maintaining advanced machine learning models for predictive analytics (e.g., yield prediction, equipment failure, safety risks).
- Developing data pipelines and ETL processes for large, complex datasets from various sources.
- Collaborating with domain experts to define business problems and translate them into analytical frameworks.
- Mentoring and guiding junior data scientists and analysts.
- Communicating complex analytical findings and recommendations to diverse stakeholders.
- Staying abreast of the latest advancements in data science, AI, and machine learning.
- Ensuring the ethical and responsible use of data.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience as a Data Scientist, with at least 2 years in a lead or senior role.
- Proven experience in applying machine learning and statistical modeling to solve complex business problems.
- Proficiency in Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
- Strong understanding of geological data, mining processes, and operational challenges.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and leadership abilities.
This advertiser has chosen not to accept applicants from your region.
5
Remote Lead Mining Data Scientist
2111 Manama, Capital
BHD140000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking an innovative and experienced Lead Mining Data Scientist to join their fully remote data science team. This crucial role will drive the development and implementation of advanced analytics, machine learning models, and data-driven insights to optimize mining operations, improve resource estimation, and enhance safety protocols. You will lead a team of data scientists, mentor junior members, and collaborate closely with geologists, engineers, and operational managers to identify key business challenges and translate them into data science solutions. The ideal candidate possesses a deep understanding of statistical modeling, machine learning algorithms, and programming languages commonly used in data science, with a specific focus on applications within the mining industry.
Key responsibilities include:
Key responsibilities include:
- Leading the design, development, and deployment of machine learning models for predictive maintenance, ore grade optimization, and operational efficiency improvements in mining.
- Analyzing large datasets from various sources (e.g., geological surveys, sensor data, operational logs) to extract actionable insights.
- Developing and refining algorithms for resource estimation and reserve calculation.
- Building data visualization tools and dashboards to communicate complex findings to technical and non-technical stakeholders.
- Mentoring and guiding a team of data scientists, fostering a collaborative and innovative environment.
- Collaborating with cross-functional teams (geology, engineering, operations) to define project scope and objectives.
- Researching and implementing state-of-the-art data science techniques relevant to the mining sector.
- Ensuring data quality, integrity, and security throughout the data lifecycle.
- Presenting findings and recommendations to senior management.
- Staying current with advancements in data science, artificial intelligence, and mining technologies.
This advertiser has chosen not to accept applicants from your region.
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6
Geological Data Scientist - Remote Mining Operations
235 Manama, Capital
BHD95000 Annually
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and innovative Geological Data Scientist to spearhead advanced data initiatives within their global mining operations. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be instrumental in developing and implementing sophisticated data models, machine learning algorithms, and analytical tools to optimize exploration, resource estimation, and operational efficiency. The role requires a strong blend of geological knowledge and cutting-edge data science skills. You will work closely with exploration geologists, mine engineers, and other technical experts to translate complex geological datasets into actionable insights. Your primary focus will be on leveraging large-scale datasets, including seismic, geophysical, and geochemical data, to identify new mineral deposits, improve reserve calculations, and enhance predictive maintenance for mining equipment. This remote role offers unparalleled flexibility and the opportunity to work on diverse and challenging projects across various mineral commodities. Responsibilities include:
- Developing and deploying advanced statistical and machine learning models for geological interpretation and prediction.
- Analyzing large, multi-disciplinary geological datasets (e.g., drill core, geophysics, geochemistry, remote sensing).
- Designing and implementing data pipelines for efficient data ingestion, processing, and storage.
- Collaborating with geologists and engineers to define data requirements and analytical approaches.
- Visualizing complex geological data and model outputs for clear communication to stakeholders.
- Identifying trends, anomalies, and patterns in exploration and production data.
- Contributing to the development of AI/ML strategies for resource discovery and mine optimization.
- Ensuring data quality, integrity, and governance across geological databases.
- Staying current with the latest advancements in data science, machine learning, and geological modeling techniques.
- Master's or Ph.D. in Geology, Geophysics, Data Science, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in geological data analysis, preferably within the mining or exploration industry.
- Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with geological software (e.g., Leapfrog, Vulcan, ArcGIS) and database management.
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent analytical and problem-solving skills with the ability to interpret complex geological information.
- Effective communication and collaboration skills, with experience working in a remote team environment.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
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7
Remote Mining Operations Data Analyst
222 Jidd Haffs, Northern
BHD80000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is a global leader in the mining sector and is looking for a dedicated Remote Mining Operations Data Analyst to join their fully remote team. This role is essential for optimizing operational efficiency, safety, and productivity by analyzing vast amounts of data from mining operations worldwide. The ideal candidate will possess strong analytical skills, a keen eye for detail, and a deep understanding of data visualization and statistical modeling. You will leverage your expertise to identify trends, forecast outcomes, and provide actionable insights that drive informed decision-making across all levels of the organization, all from your remote workspace.
Responsibilities:
Qualifications:
This remote role offers an exciting opportunity to apply your data analytics expertise to critical operational challenges in the global mining industry, contributing to efficiency and safety.
Responsibilities:
- Collect, clean, and analyze large datasets related to mining operations, including production, safety, equipment performance, and geological data.
- Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present findings clearly.
- Identify key performance indicators (KPIs) and track operational metrics to measure efficiency and identify areas for improvement.
- Apply statistical methods and modeling techniques to forecast operational trends and predict potential issues.
- Collaborate with site operations managers, engineers, and geologists to understand their data needs and provide analytical support.
- Develop and implement data quality standards and procedures.
- Automate reporting processes where possible to improve efficiency.
- Provide insights and recommendations to management to support strategic planning and operational adjustments.
- Stay current with advancements in data analytics tools, techniques, and mining technologies.
- Ensure data accuracy, integrity, and security.
- Prepare comprehensive analytical reports and present findings to various stakeholders.
- Assist in the development of data-driven solutions to enhance safety and sustainability in mining operations.
Qualifications:
- Bachelor's degree in Data Science, Statistics, Mining Engineering, Industrial Engineering, Computer Science, or a related quantitative field.
- Minimum of 3-5 years of experience in data analysis, preferably within the mining or heavy industry sector.
- Proficiency in data analysis tools and programming languages such as SQL, Python (Pandas, NumPy), or R.
- Experience with data visualization tools like Tableau, Power BI, or QlikView.
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex data insights to non-technical audiences.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Detail-oriented with a commitment to data accuracy and integrity.
- Experience with cloud data platforms (AWS, Azure, GCP) is a plus.
- Familiarity with mining operations and terminology is highly desirable.
This remote role offers an exciting opportunity to apply your data analytics expertise to critical operational challenges in the global mining industry, contributing to efficiency and safety.
This advertiser has chosen not to accept applicants from your region.
8
Senior Data Scientist - Machine Learning for Mining
121 Busaiteen
BHD125000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is seeking a highly accomplished Senior Data Scientist with a specialization in Machine Learning to join their innovative remote team. This position will play a crucial role in leveraging advanced data analytics and AI to optimize mining operations, enhance safety, and improve resource recovery. The ideal candidate will possess a strong theoretical foundation in machine learning and statistical modeling, combined with practical experience applying these techniques to complex industrial datasets.
Responsibilities:
Qualifications:
This is an exciting opportunity to shape the future of mining through cutting-edge data science and machine learning, all within a fully remote work arrangement.
Responsibilities:
- Develop and deploy machine learning models for predictive maintenance, geological resource estimation, operational efficiency, and safety monitoring in mining environments.
- Analyze large, complex datasets from various sources, including sensor data, geological surveys, production logs, and operational reports.
- Design and implement data pipelines for data extraction, transformation, and loading (ETL).
- Utilize advanced statistical and machine learning techniques such as regression, classification, clustering, time series analysis, and deep learning.
- Collaborate with domain experts (geologists, engineers, operations managers) to understand business challenges and translate them into data science problems.
- Build and maintain robust ML models, ensuring scalability, accuracy, and interpretability.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders through reports and presentations.
- Stay current with the latest advancements in data science, machine learning, and AI, particularly as applied to the mining industry.
- Contribute to the development of a data-driven culture within the organization.
- Mentor junior data scientists and promote best practices in data analysis and model development.
Qualifications:
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
- Minimum of 7 years of professional experience in data science, with a significant focus on machine learning model development and deployment.
- Proven experience in applying ML techniques to industrial or operational data.
- Proficiency in programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas).
- Strong understanding of database technologies (SQL and NoSQL) and experience with big data platforms (e.g., Spark, Hadoop).
- Experience with cloud platforms (AWS, Azure, GCP) for data science workloads is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Familiarity with the mining industry and its data challenges is a strong plus.
This is an exciting opportunity to shape the future of mining through cutting-edge data science and machine learning, all within a fully remote work arrangement.
This advertiser has chosen not to accept applicants from your region.
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