368 Big Data Analytics jobs in Indonesia
Lead Data Scientist - Big Data Analytics
17115 Bekasi, West Java
IDR22000000 Annually
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Posted 6 days ago
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Job Description
Our client, a rapidly growing technology firm based in Bekasi, West Java, ID , is seeking a talented and visionary Lead Data Scientist to spearhead their big data analytics initiatives. This hybrid role offers a dynamic blend of collaborative on-site engagement and focused remote work, allowing you to drive innovation from conception to implementation. You will be responsible for designing, developing, and deploying advanced analytical models and machine learning algorithms to extract actionable insights from vast datasets. Your expertise will be critical in shaping our client's data-driven strategies, improving business processes, and identifying new opportunities for growth. Key responsibilities include leading a team of data scientists, mentoring junior analysts, defining project roadmaps, and communicating complex findings to both technical and non-technical stakeholders. You will leverage your skills in statistical modeling, predictive analytics, data mining, and machine learning to solve challenging business problems. Experience with distributed computing frameworks (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly valued. We are looking for candidates with a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 8 years of professional experience in data science and a proven track record of leading successful analytical projects. Exceptional proficiency in programming languages such as Python or R, and experience with SQL and NoSQL databases are essential. Strong leadership, problem-solving, and communication skills are paramount. This role offers a competitive compensation package, excellent benefits, and the opportunity to work at the forefront of data science innovation in a collaborative and forward-thinking environment.
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0
Principal Data Scientist - Big Data Analytics
41511 Bekasi, West Java
IDR480000000 Annually
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Posted 7 days ago
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Our client is a rapidly growing technology firm seeking a highly skilled and innovative Principal Data Scientist to spearhead their big data analytics initiatives. This role is crucial for unlocking actionable insights from vast datasets, driving strategic decision-making, and developing advanced predictive models. The position is based in **Bekasi, West Java, ID**, with a flexible hybrid work arrangement that allows for a balance between in-office collaboration and remote productivity. You will be at the forefront of leveraging cutting-edge technologies and methodologies to solve complex business challenges. Responsibilities include designing and implementing scalable machine learning pipelines, developing sophisticated algorithms, and communicating complex findings to both technical and non-technical stakeholders. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, coupled with extensive practical experience in data science and big data technologies. You should have a proven ability to translate business needs into data-driven solutions and a passion for continuous learning and innovation in the AI/ML space. The role requires strong programming skills in languages like Python or R, proficiency with big data platforms (e.g., Spark, Hadoop), and experience with cloud environments (AWS, Azure, GCP). We are looking for a strategic thinker with exceptional analytical skills and a collaborative spirit, ready to mentor junior data scientists and influence the company's data strategy.
Key Responsibilities:
Key Responsibilities:
- Lead the development and implementation of advanced machine learning models and algorithms.
- Design, build, and maintain scalable data pipelines for large-scale data processing.
- Extract, transform, and analyze complex datasets to identify trends and patterns.
- Develop predictive models to forecast business outcomes and optimize operations.
- Communicate findings, insights, and recommendations to senior management and cross-functional teams.
- Collaborate with engineering teams to deploy machine learning models into production environments.
- Mentor and guide junior data scientists, fostering a culture of technical excellence.
- Stay abreast of the latest advancements in data science, AI, and machine learning.
- Define data strategy and roadmap for the organization.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 10+ years of experience in data science, machine learning, and big data analytics.
- Expertise in Python or R, with proficiency in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Hands-on experience with big data technologies such as Apache Spark, Hadoop, and distributed computing.
- Proficiency in SQL and experience with various database systems.
- Experience with cloud platforms (AWS, Azure, GCP) and their data services.
- Strong understanding of statistical modeling, experimental design, and A/B testing.
- Excellent communication, presentation, and storytelling skills.
- Proven ability to lead complex projects and mentor team members.
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1
Junior Data Scientist, Big Data Analytics
75121 Samarinda, East Kalimantan
IDR5 Monthly
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Posted 8 days ago
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Our client is looking for an enthusiastic and bright Junior Data Scientist to join their innovative team. This is a fantastic opportunity for recent graduates or individuals early in their data science careers to gain hands-on experience in a fully remote environment. You will work alongside experienced data scientists, contributing to various projects involving big data analytics, machine learning, and statistical modeling. Your primary responsibilities will include assisting in data collection, cleaning, and preprocessing from diverse sources. You'll help develop and implement analytical models, conduct exploratory data analysis to uncover trends and patterns, and assist in visualizing data to communicate findings effectively. This role requires a strong foundation in statistical concepts, proficiency in programming languages commonly used in data science such as Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy). Experience with SQL for database querying is also essential. You will support the team in building predictive models, performing A/B testing, and contributing to the development of data-driven solutions that address business challenges. The ideal candidate is eager to learn, possesses strong analytical and problem-solving skills, and is comfortable working independently in a remote setting. Excellent communication skills, both written and verbal, are important for collaborating with team members and presenting findings. This internship offers a unique chance to immerse yourself in the world of big data, gain practical experience with cutting-edge tools and techniques, and make a tangible contribution to our client's analytical initiatives. We encourage applications from individuals who are passionate about data and eager to grow their expertise. This internship is designed to provide comprehensive exposure to the data science workflow and foster professional development within a supportive, remote team culture.
Responsibilities:
Responsibilities:
- Assist in data extraction, transformation, and loading (ETL) processes from various data sources.
- Perform data cleaning, validation, and preprocessing to ensure data quality and integrity.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development and implementation of statistical and machine learning models.
- Assist in building visualizations and dashboards to communicate data insights.
- Collaborate with senior data scientists on various analytical projects.
- Write and optimize SQL queries for data retrieval and manipulation.
- Contribute to the documentation of data processes, methodologies, and findings.
- Stay updated with emerging trends and techniques in data science and big data analytics.
- Participate in team meetings and contribute to project discussions.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Foundational knowledge of statistics and probability.
- Proficiency in Python or R, including experience with data manipulation libraries (e.g., Pandas, NumPy, dplyr).
- Familiarity with SQL for database querying.
- Basic understanding of machine learning concepts.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Ability to work independently and manage time effectively in a remote environment.
- Good written and verbal communication skills.
- Eagerness to learn and develop new skills in data science.
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2
Junior Data Scientist, Big Data Analytics
10110 Jakarta Pusat, Jakarta
IDR5000000 Monthly
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Posted 8 days ago
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Job Description
Our client is looking for an enthusiastic and bright Junior Data Scientist to join their burgeoning analytics team in **Jakarta, Jakarta, ID**. This internship offers an exceptional opportunity for individuals passionate about data to gain hands-on experience in a dynamic corporate environment. You will work alongside experienced data scientists and analysts, contributing to real-world projects that drive business insights and innovation. This role requires a strong foundation in statistical concepts, programming skills, and a keen desire to learn and grow within the field of data science. The ideal candidate will be a proactive problem-solver with excellent analytical abilities and a collaborative spirit.
Internship Responsibilities:
Internship Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models and algorithms under the guidance of senior data scientists.
- Conduct exploratory data analysis to identify patterns, trends, and anomalies.
- Help in the visualization of data and model results using tools like Python libraries (Matplotlib, Seaborn) or R packages.
- Collaborate with the data engineering team to ensure data quality and accessibility.
- Participate in team meetings, contributing ideas and insights to ongoing projects.
- Assist in the documentation of data science processes, methodologies, and findings.
- Learn and apply various data mining techniques and statistical methods.
- Gain exposure to big data technologies and cloud platforms.
- Contribute to ad-hoc data analysis requests from different business units.
- Research and evaluate new data science tools and techniques.
- Develop basic dashboards and reports to communicate key metrics.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic understanding of statistical concepts and machine learning algorithms.
- Familiarity with SQL for database querying.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Eagerness to learn and adapt in a fast-paced environment.
- Ability to work effectively both independently and as part of a team.
- Prior experience with data visualization tools is a plus.
- Understanding of big data technologies (e.g., Spark, Hadoop) is beneficial but not required.
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3
Senior Data Scientist (Big Data Analytics)
75111 Samarinda, East Kalimantan
IDR16000000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client, a fast-growing technology firm, is seeking a highly skilled Senior Data Scientist specializing in Big Data Analytics to join their innovative team in Samarinda, East Kalimantan, ID . This role offers a hybrid work model, providing a balance between in-office collaboration and remote flexibility. You will be at the forefront of extracting valuable insights from vast datasets, developing predictive models, and driving data-informed decision-making across the organization. Key responsibilities include designing and implementing advanced statistical models and machine learning algorithms, performing complex data mining and analysis, and visualizing data to communicate findings effectively to stakeholders. You will work with large, complex datasets from various sources, utilizing big data technologies such as Spark, Hadoop, and cloud-based platforms. Collaboration with engineering and product teams to define data requirements and build data pipelines will be essential. The ideal candidate possesses a strong foundation in statistics, mathematics, and computer science, with proven experience in applying these skills to solve real-world business problems. Expertise in programming languages like Python or R, and proficiency with SQL and NoSQL databases, are required. Experience with data visualization tools (e.g., Tableau, Power BI) and a deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) are highly desirable. A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field, along with at least 6 years of professional experience in data science and big data analytics, is preferred. Excellent analytical, problem-solving, and communication skills are essential for this role. You will play a pivotal role in shaping our data strategy and unlocking new opportunities through advanced analytics.
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4
Senior Data Engineer - Big Data Analytics
34111 Bandar Lampung, Lampung
IDR17000000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client is looking for a talented Senior Data Engineer to join their growing IT and software team in a hybrid capacity. This role is integral to designing, building, and maintaining scalable and robust data infrastructure that supports advanced analytics and business intelligence initiatives. The ideal candidate will have a strong background in big data technologies and a passion for transforming raw data into actionable insights. Responsibilities include developing and optimizing data pipelines, ETL processes, and data warehousing solutions. You will work with various data sources, ensuring data quality, integrity, and accessibility for data scientists and business analysts. Experience with cloud platforms (AWS, Azure, or GCP) and their data services is highly desirable. Proficiency in programming languages such as Python or Scala, and deep knowledge of SQL and NoSQL databases are essential. You will also be involved in data modeling, schema design, and performance tuning of data systems. The successful candidate will collaborate closely with cross-functional teams to understand data requirements and deliver solutions that drive business value. This hybrid role offers the flexibility of remote work for focused tasks, combined with essential in-office collaboration for strategic discussions and team synergy. Strong problem-solving skills, a meticulous approach to data management, and excellent communication abilities are key. We are seeking a proactive individual eager to contribute to cutting-edge data solutions and mentor junior team members. This is an exciting opportunity to work on challenging data engineering problems and shape the future of data utilization within our organization.
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5
Junior Data Scientist, Big Data Analytics (Remote)
40111 Bandung, West Java
IDR9000000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client is seeking enthusiastic and academically strong Junior Data Scientists to join their cutting-edge analytics team, working entirely remotely from Bandung, West Java, ID . This internship is an exceptional opportunity for aspiring data professionals to gain practical experience in a data-driven organization, contributing to real-world projects and learning from industry experts. You will be involved in the entire data science lifecycle, from data collection and cleaning to analysis, modeling, and interpretation of results. The ideal candidate will possess a solid understanding of statistical concepts, machine learning algorithms, and programming languages such as Python or R. Responsibilities include assisting in the development of predictive models, performing exploratory data analysis, visualizing data to identify trends and insights, and collaborating with senior data scientists on various analytical tasks. We are looking for individuals who are curious, detail-oriented, and possess strong quantitative skills. You should be adept at working independently, managing your time effectively in a remote setup, and communicating your findings clearly. Experience with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn) is highly desirable. This role offers a valuable chance to apply theoretical knowledge to practical challenges, develop a sophisticated understanding of big data technologies, and contribute to strategic decision-making within the company. You will be part of a supportive and innovative remote team that encourages continuous learning and professional growth, helping to build a strong foundation for a career in data science.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis to identify patterns and insights.
- Develop and implement machine learning models under supervision.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on analytical projects.
- Assist in evaluating model performance and iterating on solutions.
- Contribute to documentation of data analysis processes and findings.
- Learn and apply statistical techniques and data mining methods.
- Participate in team meetings and contribute to project discussions.
- Manage assigned tasks and communicate progress in a remote environment.
- Pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Understanding of statistical concepts and machine learning algorithms.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic knowledge of data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to explain technical concepts to a non-technical audience.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and apply new data science techniques.
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6
Senior Mining Geologist - Remote Data Analysis & Reporting
25111 Padang, West Sumatra
IDR19000000 Monthly
WhatJobs
Posted 5 days ago
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Job Description
Our client is seeking a highly experienced and analytical Senior Mining Geologist to join their global team in a fully remote capacity. This role will focus on the interpretation of geological data, resource modeling, and contributing to strategic exploration and development decisions. You will work with vast datasets from exploration drilling, geophysics, and other sources to assess mineral potential, define ore bodies, and support mine planning. The ideal candidate will have a deep understanding of geological principles, advanced data analysis techniques, and experience with industry-standard modeling software. This is a unique opportunity for a skilled geologist to contribute to significant mining projects from a remote setting, collaborating with geologists, engineers, and management worldwide.
Responsibilities:
Responsibilities:
- Analyze and interpret geological, geochemical, and geophysical data from exploration and mining operations.
- Develop and refine geological models and resource estimates using specialized software (e.g., Leapfrog, Vulcan, Datamine).
- Contribute to the planning and design of exploration programs and drilling campaigns.
- Evaluate the geological viability and economic potential of mineral deposits.
- Prepare comprehensive geological reports, summaries, and presentations for management and stakeholders.
- Collaborate with mine engineers to ensure geological models accurately reflect mining plans and operations.
- Identify and troubleshoot geological challenges encountered during exploration and production.
- Stay current with advancements in geological modeling techniques, software, and exploration technologies.
- Ensure all geological data and interpretations are of the highest quality and adhere to industry standards (e.g., JORC, NI 43-101).
- Communicate effectively with remote team members, external consultants, and regulatory bodies.
- Bachelor's or Master's degree in Geology, Geological Engineering, or a related field.
- A minimum of 6-8 years of experience in mineral exploration, resource geology, or mine geology.
- Proven experience in geological modeling and resource estimation for various commodities.
- Proficiency with geological software packages (e.g., Leapfrog Geo, Vulcan, Datamine Studio).
- Strong understanding of geological principles, structural geology, and ore deposit geology.
- Excellent analytical, problem-solving, and data interpretation skills.
- Demonstrated ability to work independently and manage time effectively in a remote environment.
- Strong written and verbal communication skills in English.
- Experience with scripting or programming languages for data analysis is a plus.
- Professional Geologist certification is desirable.
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7
Senior Mining Geologist - Remote Data Analysis & Interpretation
28211 Pekanbaru, Riau
IDR25000000 Monthly
WhatJobs
Posted 6 days ago
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Job Description
Our client is seeking a highly experienced Senior Mining Geologist to join their exploration and resource development team. This role requires significant on-site presence at our operational sites, complementing remote data analysis. You will be responsible for geological mapping, resource estimation, and providing critical insights to guide mining operations and exploration strategies. This position demands a deep understanding of mineral deposits, geological modeling, and advanced analytical techniques.
Responsibilities:
Qualifications:
Responsibilities:
- Conduct detailed geological mapping, sampling, and data collection in active mining and exploration areas.
- Develop and interpret 3D geological models using industry-standard software (e.g., Leapfrog, Vulcan, Datamine).
- Perform resource and reserve estimations, ensuring compliance with industry standards (e.g., JORC, NI 43-101).
- Analyze geochemical and geophysical data to identify new mineralized zones and optimize exploration targets.
- Collaborate closely with mining engineers, metallurgists, and operations managers to provide geological support for mine planning and production.
- Supervise junior geologists and field technicians, providing guidance and mentorship.
- Prepare comprehensive geological reports, presentations, and technical memorandums for management and stakeholders.
- Ensure adherence to all safety, environmental, and regulatory requirements in the field and during data analysis.
- Contribute to the development and implementation of geological exploration strategies.
- Maintain accurate geological databases and records.
Qualifications:
- Master's degree in Geology, Economic Geology, or a related field; Ph.D. preferred.
- Minimum of 8 years of progressive experience in exploration geology or mine geology, with a strong focus on resource estimation and modeling.
- Proven expertise in geological software for 3D modeling, data analysis, and resource estimation.
- In-depth knowledge of various mineral deposit types and exploration techniques relevant to Indonesia.
- Experience with geochemical assay data interpretation and statistical analysis.
- Strong understanding of mining methods and their geological implications.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proficiency in technical writing and presentation.
- Ability to work effectively both independently and as part of a multidisciplinary team.
- Must be willing to undertake significant fieldwork at remote operational sites.
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8
Senior Mining Geologist - Remote Data Analysis & Reporting
20231 Medan, North Sumatra
IDR20000000 Monthly
WhatJobs
Posted 8 days ago
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Job Description
Our client is seeking an experienced Senior Mining Geologist to join their operational team. This position requires on-site presence for geological fieldwork and analysis, with opportunities for remote data reporting. You will be responsible for the geological exploration, evaluation, and resource estimation of mineral deposits. The ideal candidate will have a strong background in economic geology, structural geology, and geochemistry, with proven experience in 3D geological modeling and resource calculation. You will play a crucial role in identifying and developing viable mining projects, ensuring efficient resource extraction and mine planning.
Responsibilities:
Responsibilities:
- Conduct geological mapping, sampling, and core logging to identify and characterize mineralized zones.
- Perform detailed analysis of geological data, including petrography, mineralogy, and assay results.
- Develop and maintain 3D geological models using industry-standard software (e.g., Leapfrog, MinePlan).
- Calculate and report mineral resources and reserves according to international standards (e.g., JORC, NI 43-101).
- Plan and supervise drilling programs and other exploration activities.
- Collaborate with mining engineers and metallurgists to optimize mine planning and extraction strategies.
- Prepare technical reports, presentations, and geological summaries for management and stakeholders.
- Ensure compliance with environmental regulations and safety standards in all field operations.
- Stay updated with the latest advancements in geological techniques and technologies.
- Contribute to the overall exploration strategy and target generation for new prospects.
- Bachelor's or Master's degree in Geology or a related Earth Science field.
- Minimum of 6 years of relevant experience in mineral exploration or mine geology.
- Proven expertise in 3D geological modeling and resource estimation software.
- Strong understanding of various deposit types and mineralization styles.
- Experience with geochemical and geophysical data interpretation.
- Excellent analytical and problem-solving skills.
- Proficiency in geological data management systems.
- Strong written and verbal communication skills, with the ability to produce clear and concise technical reports.
- Ability to work effectively in remote field locations and manage logistical challenges.
- Valid driver's license and ability to undertake fieldwork in demanding conditions.
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