What Jobs are available for Data Interpretation Techniques in India?
Showing 308 Data Interpretation Techniques jobs in India
Data Mining Engineer Trainee
Ernakulam, Kerala
hashwave Technologies Pvt Ltd
Posted 2 days ago
Job Viewed
Job Description
Thank you for your interest in joining Datahut as a Data Mining Engineer Trainee !
We’re looking for fresh graduates (2024/2025 batch – B.Tech/BSc/BCA/Diploma in CS or IT) who are strong in Python and have completed at least two hands-on portfolio projects.
About the role:
Datahut is a remote-first company, and you’ll begin by working from home. In the future, if we reopen our offices or specific projects require in-person collaboration, you may need to relocate to Kochi.
Please note:
- This opportunity is open only to candidates from Kerala.
- Fill out the application form carefully with accurate details.
- Only shortlisted candidates will be contacted for the next steps.
Application form link -
Last date to apply: 6 Nov 2025, 6 PM. Only candidates who submit the application form will be considered.
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0
Remote Data Mining Specialist - Geological Data
110001 Delhi, Delhi
₹800000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in mineral exploration and extraction, is seeking a highly skilled and analytical Remote Data Mining Specialist to focus on geological data analysis. This position is fully remote, offering a unique opportunity to work with vast datasets from anywhere. You will be responsible for developing and implementing advanced data mining techniques to identify patterns, trends, and anomalies within geological and geophysical datasets. This includes processing, cleaning, and transforming large volumes of raw data to prepare it for analysis. The ideal candidate will possess strong programming skills in languages such as Python or R, with expertise in libraries relevant to data manipulation, machine learning, and statistical analysis (e.g., Pandas, NumPy, Scikit-learn). Experience with geological software and databases is a significant advantage. You will collaborate with geologists, geophysicists, and data scientists to interpret findings, generate actionable insights, and support exploration and resource estimation efforts. Key responsibilities include building predictive models, performing spatial analysis, and visualizing complex data to communicate results effectively. You should have a deep understanding of statistical methods, machine learning algorithms, and data mining principles. A Bachelor's or Master's degree in Geology, Data Science, Computer Science, Statistics, or a related quantitative field is required. Proven experience in data mining, particularly with large-scale scientific or geological datasets, is essential. The ability to work independently, manage multiple projects, and communicate technical findings clearly to both technical and non-technical audiences in a remote setting is critical. This role offers the chance to contribute to significant discoveries and optimize resource extraction processes through cutting-edge data analysis.
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1
Lead Data Mining Specialist - Remote
700016 Kolkata, West Bengal
₹1800000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is looking for a highly skilled and motivated Lead Data Mining Specialist to join their fully remote team. In this role, you will be at the forefront of extracting valuable insights from vast datasets, driving business decisions, and uncovering hidden patterns. You will lead a team of data professionals, mentor junior analysts, and contribute to the strategic development of data mining initiatives across the organization.
Responsibilities:
Responsibilities:
- Lead the design and implementation of data mining strategies and algorithms to identify trends, correlations, and predictive indicators within large and complex datasets.
- Develop and maintain data mining models using various statistical and machine learning techniques.
- Supervise and mentor a team of data miners and analysts, providing technical guidance and performance feedback.
- Collaborate with stakeholders across different departments to understand their data needs and translate them into actionable data mining projects.
- Identify new data sources and opportunities for data collection and integration.
- Develop robust data validation and quality assurance processes to ensure the accuracy and reliability of insights.
- Present complex findings and recommendations in a clear and concise manner to both technical and non-technical audiences.
- Stay current with the latest advancements in data mining, machine learning, and big data technologies.
- Contribute to the continuous improvement of data mining tools and methodologies.
- Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of progressive experience in data mining, statistical analysis, and machine learning.
- Proven experience in leading and managing a team of data professionals.
- Expertise in programming languages commonly used in data mining, such as Python or R, and associated libraries (e.g., Pandas, Scikit-learn, NumPy).
- Proficiency with SQL and experience working with large-scale databases (e.g., SQL Server, PostgreSQL, NoSQL databases).
- Familiarity with big data technologies like Hadoop, Spark, or similar distributed computing frameworks is a plus.
- Strong understanding of various data mining algorithms (e.g., clustering, classification, regression, association rules).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
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2
Remote Senior Data Mining Engineer
201001 Noida, Uttar Pradesh
₹130000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is seeking a highly experienced and motivated Senior Data Mining Engineer to join their fully remote data science team. This pivotal role focuses on extracting valuable insights from large, complex datasets to drive strategic business decisions and enhance product development. You will be instrumental in designing, developing, and implementing advanced data mining algorithms and techniques, including machine learning, statistical modeling, and predictive analytics. Your responsibilities will involve exploring diverse data sources, identifying patterns, trends, and anomalies, and transforming raw data into actionable intelligence. You will work closely with data scientists, analysts, and business stakeholders to understand their needs and translate them into robust data mining solutions. This fully remote position requires strong technical expertise in programming languages such as Python or R, proficiency with big data technologies (e.g., Hadoop, Spark), and extensive experience with SQL and NoSQL databases. The ideal candidate will have a deep understanding of various data mining methodologies and a proven ability to apply them to real-world problems. Excellent problem-solving skills, creativity, and a passion for uncovering hidden insights from data are essential. You should be adept at data visualization and be able to communicate complex findings clearly to both technical and non-technical audiences. This role offers the opportunity to work on challenging projects, leverage cutting-edge tools, and make a significant impact on our client's data-driven initiatives. Continuous learning and adaptation to new technologies are expected. The ability to work autonomously, manage your time effectively, and collaborate seamlessly within a distributed team environment is crucial. We are looking for an individual who can lead data mining projects from conception to completion, ensuring the delivery of high-quality, impactful results. This role is critical in unlocking the potential of our client's vast data assets.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced data mining algorithms and models.
- Explore and analyze large, complex datasets to identify patterns, trends, and insights.
- Develop predictive models and machine learning solutions.
- Collaborate with data scientists and stakeholders to define data mining requirements.
- Clean, transform, and prepare data for analysis.
- Develop and maintain data pipelines and ETL processes.
- Utilize big data technologies and platforms for data processing and analysis.
- Evaluate and improve the performance of data mining models.
- Communicate findings and recommendations through clear visualizations and reports.
- Stay current with the latest advancements in data mining, machine learning, and AI.
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in data mining, machine learning, or data science.
- Proficiency in programming languages such as Python or R.
- Strong experience with SQL and NoSQL databases.
- Hands-on experience with big data technologies (e.g., Hadoop, Spark, Hive).
- Expertise in statistical modeling and machine learning techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities for remote work.
- Ability to work independently and manage project timelines effectively.
- This role is fully remote, supporting teams globally and potentially interacting with operations in Ghaziabad, Uttar Pradesh, IN .
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3
Remote Geospatial Data Scientist (Mining)
395001 Surat, Gujarat
₹90000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Remote Geospatial Data Scientist specializing in the mining sector. This is a fully remote position, offering the opportunity to leverage advanced data science techniques and geospatial analysis to support exploration and operational efficiency in the mining industry. You will be responsible for collecting, processing, and analyzing large datasets, including satellite imagery, geological surveys, and sensor data, to identify mineral deposits, optimize extraction processes, and assess environmental impacts. Key duties include developing predictive models, creating high-resolution maps, and visualizing complex spatial data using GIS software and programming languages (e.g., Python, R). The ideal candidate will possess a strong background in geology, earth sciences, or a related field, combined with expertise in data science and geospatial analysis. Proven experience with various GIS platforms (e.g., ArcGIS, QGIS), remote sensing software, and statistical modeling techniques is essential. You will work independently, collaborating virtually with geologists, engineers, and other stakeholders to provide data-driven insights and recommendations. This role requires excellent problem-solving skills, meticulous attention to detail, and the ability to communicate complex findings clearly and concisely through reports and presentations. A proactive approach to research and development, staying current with emerging technologies in geospatial analysis and data science, is highly valued. This position is ideal for a self-motivated individual who thrives in a remote work environment and is passionate about applying data science to the challenges and opportunities within the mining industry. Your expertise will be critical in informing strategic decisions, improving resource management, and driving innovation in mining operations globally, all managed from your remote location.
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4
Remote Geospatial Data Analyst (Mining)
520001 Krishna, Andhra Pradesh
₹900000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a leader in the mining industry, is seeking a skilled and experienced Remote Geospatial Data Analyst to join their fully remote operations team. This pivotal role involves analyzing vast amounts of geospatial data to identify mineral deposits, optimize exploration efforts, and support resource management. You will leverage advanced GIS software and analytical techniques to interpret satellite imagery, geological surveys, and other spatial datasets. The ideal candidate is a detail-oriented professional with a strong background in earth sciences and data analytics, capable of working independently and delivering actionable insights from a remote location.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, process, and analyze large geospatial datasets relevant to mineral exploration and mining operations.
- Develop and apply advanced spatial analysis techniques to identify potential resource targets and geological structures.
- Interpret satellite imagery, aerial photography, and geophysical survey data to assess land conditions and mineral potential.
- Create detailed maps, visualizations, and reports to communicate findings to geologists, engineers, and management.
- Utilize GIS software (e.g., ArcGIS, QGIS) and remote sensing tools for data manipulation and analysis.
- Develop and maintain geodatabases and ensure data integrity and accuracy.
- Collaborate with geologists and other domain experts to integrate diverse data sources.
- Monitor environmental changes and land use patterns using geospatial technologies.
- Automate data processing workflows and develop scripts for efficiency gains.
- Stay current with emerging technologies and methodologies in geospatial analysis and mining.
- Provide technical support and guidance to the exploration and mining teams on geospatial matters.
- Contribute to strategic planning for exploration and resource development based on data-driven insights.
Qualifications:
- Master's degree in Geology, Geosciences, Geography, Environmental Science, or a related field with a strong emphasis on GIS and remote sensing.
- Minimum of 4-6 years of experience in geospatial data analysis, specifically within the mining or natural resources sector.
- Proficiency in industry-standard GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms.
- Experience with scripting languages (e.g., Python) for data automation and analysis is highly desirable.
- Strong understanding of geological principles, mineralogy, and exploration techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to interpret complex spatial data and translate it into actionable business intelligence.
- Strong written and verbal communication skills for reporting and presentations.
- Demonstrated ability to work autonomously and manage projects effectively in a remote setting.
- Familiarity with data visualization tools.
- Knowledge of regulatory frameworks pertaining to mining exploration is a plus.
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5
Remote Senior Data Scientist (Mining)
302001 Jaipur, Rajasthan
₹95000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking an exceptional Remote Senior Data Scientist with specialized expertise in the mining sector. This is a fully remote position, allowing you to leverage your analytical skills from anywhere. You will play a critical role in extracting valuable insights from vast datasets generated by mining operations, developing predictive models, and optimizing processes for efficiency, safety, and sustainability. The ideal candidate will have a strong foundation in statistics, machine learning, and data mining techniques, combined with practical experience in applying these skills to geological, operational, and financial data within the mining industry. This role demands a proactive approach, excellent problem-solving abilities, and effective communication to translate complex data findings into actionable business strategies.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze mining data, including geological surveys, operational efficiency metrics, and equipment performance.
- Identify trends, patterns, and correlations within large datasets to inform decision-making in exploration, extraction, and processing.
- Build predictive models for resource estimation, ore grade forecasting, and production optimization.
- Design and conduct A/B tests and experiments to evaluate the impact of process changes.
- Visualize complex data in an understandable format for stakeholders, including reports and interactive dashboards.
- Collaborate with geologists, engineers, and operations managers to understand their data needs and challenges.
- Stay abreast of the latest advancements in data science, AI, and their applications in the mining industry.
- Contribute to the development of data governance policies and best practices.
- Ensure data quality, integrity, and security throughout the analytical process.
- Communicate findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
- 5+ years of experience as a Data Scientist, with a significant focus on the mining or natural resources sector.
- Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and NoSQL databases.
- Strong understanding of statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Familiarity with geological data, mining operations, and relevant software (e.g., GIS, specialized mining software) is a strong plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Ability to work independently and manage projects effectively in a remote environment.
- Experience with big data technologies (e.g., Hadoop, Spark) is desirable.
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6
Remote Senior Data Scientist (Mining Analytics)
201001 Ghaziabad, Uttar Pradesh
₹180000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client, a progressive leader in the mining industry, is seeking a highly analytical and experienced Senior Data Scientist to join their innovative team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be instrumental in leveraging advanced data analytics to optimize mining operations, improve resource extraction, enhance safety, and drive efficiency across the organization.
The Senior Data Scientist will be responsible for developing and deploying machine learning models, statistical analysis, and data visualization techniques. You will work with vast datasets from various mining operations, including geological surveys, operational logs, equipment performance data, and environmental monitoring. Your insights will guide strategic decisions related to exploration, production planning, equipment maintenance, and risk management. Collaboration with geologists, engineers, and operational managers will be key to translating complex data into actionable business intelligence.
Key Responsibilities:
The Senior Data Scientist will be responsible for developing and deploying machine learning models, statistical analysis, and data visualization techniques. You will work with vast datasets from various mining operations, including geological surveys, operational logs, equipment performance data, and environmental monitoring. Your insights will guide strategic decisions related to exploration, production planning, equipment maintenance, and risk management. Collaboration with geologists, engineers, and operational managers will be key to translating complex data into actionable business intelligence.
Key Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms for mining applications.
- Analyze large, complex datasets related to geological formations, ore grades, extraction processes, and equipment performance.
- Develop predictive models for resource estimation, production forecasting, and anomaly detection.
- Create data visualizations and dashboards to communicate complex findings to non-technical stakeholders.
- Identify key performance indicators (KPIs) and develop metrics for operational efficiency and safety.
- Collaborate with domain experts (geologists, engineers, operations managers) to understand data needs and deliver relevant insights.
- Stay current with the latest advancements in data science, machine learning, and AI relevant to the mining sector.
- Contribute to the data governance strategy and ensure data quality and integrity.
- Mentor junior data scientists and contribute to the team's technical growth.
- Propose new analytical approaches to solve business challenges and improve operational outcomes.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of professional experience in data science, with a significant focus on advanced modeling and analytics.
- Proven experience in the mining or natural resources sector is highly desirable.
- Strong programming skills in Python or R, and proficiency with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Excellent understanding of statistical modeling, machine learning algorithms, and experimental design.
- Strong problem-solving skills and the ability to translate business problems into analytical solutions.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience working in a remote, collaborative environment.
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7
Remote Senior Data Scientist - Mining Operations
530003 Visakhapatnam, Andhra Pradesh
₹120000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist with a specialization in Mining Operations to join their fully remote team. This position offers the unique opportunity to leverage advanced data analytics and machine learning techniques to optimize operations within the global mining industry. The ideal candidate will possess a strong background in statistical modeling, predictive analytics, and data visualization, with a proven ability to extract actionable insights from complex datasets. You will collaborate with geologists, engineers, and operations managers to identify critical data challenges and develop innovative solutions that enhance efficiency, safety, and sustainability in mining processes. This role demands exceptional analytical prowess, technical expertise, and the ability to communicate complex findings effectively to both technical and non-technical audiences.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze mining operational data (e.g., exploration, extraction, processing, safety, environmental).
- Identify key performance indicators (KPIs) and metrics to measure the effectiveness of mining operations and identify areas for improvement.
- Build predictive models for resource estimation, equipment failure prediction, production forecasting, and operational risk assessment.
- Design and conduct experiments to test hypotheses and validate models.
- Extract, clean, and transform large, complex datasets from various sources.
- Develop interactive dashboards and visualizations to communicate insights to stakeholders.
- Collaborate closely with domain experts (geologists, mining engineers, metallurgists) to understand their challenges and translate them into data science problems.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector.
- Mentor junior data scientists and contribute to the team's technical development.
- Present findings and recommendations to senior management and operational teams.
- Ensure data quality and integrity throughout the analysis process.
- Contribute to the development of data strategies and roadmaps for the mining division.
- Evaluate and recommend new tools and technologies for data analysis and machine learning.
Qualifications:
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Geostatistics, Mining Engineering, or a related quantitative field.
- 8+ years of experience as a Data Scientist, with a significant focus on applying data science techniques to industrial or operational problems.
- Demonstrated experience in the mining or natural resources sector is highly preferred.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Strong data visualization skills using tools like Tableau, Power BI, or Matplotlib.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Ability to work independently and manage projects effectively in a remote setting.
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8
Remote Geospatial Data Analyst - Mining Operations
390001 Vadodara, Gujarat
₹1200000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a forward-thinking global mining corporation, is seeking a highly skilled Remote Geospatial Data Analyst to play a pivotal role in optimizing their exploration and operational strategies. This fully remote position offers the unique opportunity to leverage advanced geospatial technologies and data analysis techniques to identify new mineral deposits, monitor existing sites, and enhance operational efficiency. The ideal candidate will possess a strong background in geology, mining, or a related field, combined with expertise in GIS software and remote sensing data processing. As a key member of our remote team, you will contribute to critical decision-making processes by transforming raw data into actionable insights.
Key Responsibilities:
Key Responsibilities:
- Analyze and interpret satellite imagery, aerial photography, drone data, and other remote sensing data for mineral exploration and mine site monitoring.
- Develop and maintain geodatabases and spatial data models to support mining operations.
- Utilize GIS software (e.g., ArcGIS, QGIS) and specialized tools to create maps, visualizations, and reports.
- Perform spatial analysis to identify geological structures, mineral anomalies, and potential resource targets.
- Assist in the planning and management of exploration programs by providing data-driven recommendations.
- Monitor mine site activities, environmental impact, and reclamation progress using geospatial techniques.
- Collaborate with geologists, geophysicists, and mine engineers to integrate geospatial data into geological models and operational plans.
- Develop automated workflows and scripts for processing large volumes of geospatial data.
- Stay current with the latest advancements in remote sensing, GIS technology, and data analytics relevant to the mining industry.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders through clear reports and presentations.
- Bachelor's or Master's degree in Geology, Mining Engineering, Geography, Geosciences, or a related field.
- Minimum of 3-5 years of experience in a geospatial analysis role, preferably within the mining or exploration sector.
- Proficiency in industry-standard GIS software (e.g., ArcGIS Desktop/Pro, QGIS).
- Experience with remote sensing data processing and analysis techniques.
- Familiarity with geological and mining concepts.
- Skills in programming or scripting languages (e.g., Python with libraries like Geopandas, Rasterio) for automating geospatial tasks.
- Experience with database management, particularly spatial databases.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
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9