893 Predictive Modeling jobs in Indonesia
Senior Data Scientist - Predictive Modeling
28111 Pekanbaru, Riau
IDR16000000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist specializing in Predictive Modeling to join their fully remote, cutting-edge analytics team. This role is for a driven professional with a passion for extracting insights from complex datasets and building sophisticated predictive models that drive strategic business decisions. As a remote-first organization, we offer the flexibility to work from anywhere, supported by a collaborative digital infrastructure and a team dedicated to pushing the boundaries of data science.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced predictive models to forecast business trends, customer behavior, and operational outcomes.
- Clean, transform, and analyze large, complex datasets from various sources using statistical techniques and machine learning algorithms.
- Identify key drivers and patterns within data to inform model development and business strategy.
- Evaluate model performance, iterate on model designs, and ensure models are robust, scalable, and deployable.
- Collaborate with business stakeholders to understand their needs, define problem statements, and translate them into data science solutions.
- Communicate complex analytical findings and model insights clearly and concisely to both technical and non-technical audiences through visualizations and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and apply them to solve business problems.
- Develop and maintain data pipelines, feature stores, and model deployment frameworks.
- Mentor junior data scientists and contribute to the growth of the data science practice within the organization.
- Ensure data quality, integrity, and adherence to data governance policies.
- Conduct A/B testing and other experimental designs to validate model impact and guide product development.
- Work closely with engineering teams to integrate models into production systems.
- Explore new data sources and methodologies to enhance predictive capabilities.
- Document methodologies, code, and findings thoroughly for reproducibility and knowledge sharing.
- Contribute to the development of a data-driven culture across the organization.
- Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a strong focus on building and deploying predictive models.
- Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning), and model evaluation techniques.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Experience with SQL and working with large relational databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage priorities effectively, and thrive in a fully remote team environment.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) is desirable.
- Demonstrated ability to deliver end-to-end data science projects.
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0
Junior Data Analyst - Predictive Modeling
15117 Tangerang, Banten
IDR6 Monthly
WhatJobs
Posted 6 days ago
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Job Description
Our client is looking for bright and enthusiastic Junior Data Analysts to join their innovative, remote-first team. This internship program offers a unique opportunity to gain hands-on experience in data analysis and predictive modeling within a cutting-edge technology environment. As a Junior Data Analyst, you will work closely with senior data scientists and engineers, contributing to projects that drive business decisions and product development. Your primary responsibilities will involve collecting, cleaning, and transforming large datasets from various sources. You will assist in building and testing statistical models, conducting exploratory data analysis to identify trends and patterns, and creating insightful visualizations to communicate findings. This role demands a strong analytical mindset, meticulous attention to detail, and a foundational understanding of statistical concepts and programming languages commonly used in data science, such as Python or R. You will have the chance to learn and apply techniques in machine learning, data mining, and predictive analytics. The ideal candidate is a proactive learner, eager to tackle complex challenges, and possesses excellent problem-solving skills. You should be comfortable working independently and collaboratively within a virtual team setting. This internship is designed to provide a comprehensive learning experience, offering mentorship and exposure to real-world data challenges. Responsibilities include:
- Assisting in the collection, cleaning, and preprocessing of large datasets.
- Performing exploratory data analysis (EDA) to uncover insights and trends.
- Supporting the development and validation of predictive models and machine learning algorithms.
- Creating data visualizations and dashboards to present findings.
- Collaborating with senior team members on data-related projects.
- Documenting data sources, methodologies, and analytical processes.
- Contributing to the testing and refinement of data pipelines.
- Learning and applying new data analysis techniques and tools.
- Assisting in the preparation of reports and presentations on analytical results.
- Participating in team meetings and contributing to project discussions.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, or a related quantitative field.
- Foundational knowledge of statistics and probability.
- Basic programming skills in Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
- Understanding of data visualization principles.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote environment.
- Eagerness to learn and adapt to new technologies.
- High level of attention to detail.
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Scientist - Predictive Modeling
50131 Semarang, Central Java
IDR850 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist to lead initiatives in predictive modeling and advanced analytics. This is a fully remote position, offering the opportunity to work with a talented team and tackle challenging data problems from anywhere. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data mining techniques, with a proven ability to translate complex data into actionable insights that drive business decisions. You will be instrumental in designing, developing, and deploying predictive models that solve critical business challenges.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement sophisticated predictive models and machine learning algorithms to address business questions related to forecasting, customer behavior, risk assessment, and optimization.
- Perform data exploration, feature engineering, and model validation using large, complex datasets from various sources.
- Select and apply appropriate statistical techniques and machine learning methodologies (e.g., regression, classification, clustering, time series analysis, deep learning).
- Collaborate with stakeholders across business units to understand their needs, define project scope, and communicate findings effectively.
- Develop and maintain data pipelines and ensure the quality and integrity of data used for modeling.
- Deploy models into production environments and monitor their performance, making necessary adjustments and improvements.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence through research, conferences, and continuous learning.
- Mentor junior data scientists and contribute to the development of best practices within the data science team.
- Create compelling data visualizations and reports to communicate complex results to both technical and non-technical audiences.
- Identify opportunities to leverage data science to drive innovation and create business value.
- Ensure ethical considerations and data privacy are maintained throughout all data science activities.
- Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, Economics, or a related discipline.
- 5+ years of hands-on experience in data science, with a strong focus on predictive modeling and machine learning.
- Proven expertise in building and deploying machine learning models in a production environment.
- Proficiency in programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Solid understanding of statistical concepts, experimental design, and hypothesis testing.
- Experience with SQL and working with relational databases, as well as familiarity with NoSQL databases or big data platforms (e.g., Spark, Hadoop).
- Strong data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Experience working in a remote or distributed team environment is highly desirable.
This advertiser has chosen not to accept applicants from your region.
2
Junior Data Analyst - Predictive Modeling
76114 Balikpapan, East Kalimantan
IDR6000000 Monthly
WhatJobs
Posted 8 days ago
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Job Description
Our client, a cutting-edge technology firm, is seeking an enthusiastic and bright Junior Data Analyst to join their expanding analytics team. This is a fully remote position, enabling talented individuals from various locations to contribute to our client's data-driven initiatives. The Junior Data Analyst will play a key role in supporting predictive modeling efforts, data cleaning, feature engineering, and generating actionable insights from complex datasets. This role is perfect for a recent graduate or early-career professional eager to build a strong foundation in data science and analytics within a supportive, remote-first culture.
Responsibilities:
Qualifications:
This is an exceptional opportunity for a motivated individual to launch their career in data analytics and contribute to impactful projects in a collaborative, remote setting. If you are passionate about uncovering insights from data and eager to grow, we encourage you to apply.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and implementation of statistical models and machine learning algorithms for predictive analysis.
- Collaborate with senior data scientists and analysts on feature engineering and model refinement.
- Generate reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders.
- Develop an understanding of business requirements and translate them into data analysis tasks.
- Contribute to the documentation of data processes, methodologies, and model performance.
- Stay updated with the latest trends and techniques in data analysis and machine learning.
- Participate in code reviews and contribute to the improvement of data infrastructure and tools.
- Proactively identify opportunities to leverage data for business improvement.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and data modeling techniques.
- Proficiency in programming languages commonly used in data analysis, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with SQL for database querying.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, essential for remote team collaboration.
- Ability to work independently, manage time effectively, and adapt to a remote work environment.
- Eagerness to learn and a proactive attitude towards problem-solving.
- Previous internship or project experience in data analysis or machine learning is a plus.
This is an exceptional opportunity for a motivated individual to launch their career in data analytics and contribute to impactful projects in a collaborative, remote setting. If you are passionate about uncovering insights from data and eager to grow, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
3
Junior Data Analyst - Predictive Modeling
28111 Pekanbaru, Riau
IDR8 Monthly
WhatJobs
Posted 8 days ago
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Job Description
Our client is seeking bright and motivated Junior Data Analysts to join their dynamic team in a fully remote capacity. This internship is designed for enthusiastic individuals looking to gain hands-on experience in data analysis and predictive modeling. You will work closely with senior data scientists and analysts, contributing to projects that drive business insights and strategic decision-making. Responsibilities will include data cleaning, transformation, and exploration using programming languages like Python or R. You will assist in developing and validating predictive models, analyzing trends, and generating reports to communicate findings effectively. The ideal candidate possesses a strong foundation in statistics, mathematics, and computer science, along with a keen interest in machine learning and data visualization. Excellent problem-solving skills and a detail-oriented approach are crucial. You should be comfortable working in a collaborative, remote-first environment and eager to learn new technologies and methodologies. This internship offers a fantastic opportunity to build a solid portfolio, develop practical skills, and network with industry professionals. We are committed to providing a supportive learning environment where interns can grow and make meaningful contributions. This role is ideal for recent graduates or current students pursuing degrees in quantitative fields who are eager to kickstart their careers in data science. Join us in uncovering valuable insights from complex datasets and shaping the future of our client's operations.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and processing large datasets.
- Perform exploratory data analysis to identify patterns and trends.
- Support the development and testing of predictive models.
- Generate reports and visualizations to present data insights.
- Collaborate with senior analysts and data scientists on various projects.
- Learn and apply statistical and machine learning techniques.
- Document data analysis processes and methodologies.
- Contribute to data-driven decision-making across different departments.
- Maintain data integrity and accuracy throughout analysis.
- Participate in team meetings and training sessions.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and data analysis techniques.
- Familiarity with programming languages such as Python or R is a plus.
- Basic understanding of data visualization tools (e.g., Tableau, Matplotlib).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and ability to work independently.
- Good communication and teamwork skills.
- Eagerness to learn and adapt to new technologies.
This advertiser has chosen not to accept applicants from your region.
4
Junior Data Scientist - Predictive Modeling
30151 Palembang, South Sumatra
IDR8000000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is excited to offer an exceptional opportunity for a motivated Junior Data Scientist to join their innovative team as an intern. This role is fully remote, allowing you to gain valuable industry experience from anywhere. You will be an integral part of our data science department, focusing on developing and refining predictive models to drive business insights and solutions. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, feature engineering, and assisting senior data scientists in building and validating machine learning models. You will work with diverse datasets, applying statistical techniques and machine learning algorithms to uncover patterns and make predictions. This internship provides hands-on experience with industry-standard tools and technologies. We are looking for individuals with a strong quantitative background, a passion for data, and a keen interest in machine learning and predictive analytics. You should possess excellent problem-solving skills and the ability to learn quickly in a dynamic, remote work environment. This is a fantastic stepping stone for aspiring data scientists looking to build a solid foundation in a challenging and rewarding field. You will have the opportunity to contribute to real-world projects and gain practical exposure to the entire data science workflow. We encourage curiosity and a proactive approach to problem-solving, and you will be supported by experienced mentors throughout your internship. Your contributions will help shape data-driven strategies and decision-making processes within our organization. This position is perfect for students or recent graduates eager to apply their academic knowledge in a professional setting and explore the exciting world of data science.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Contribute to feature engineering for machine learning models.
- Support senior data scientists in building, training, and evaluating predictive models.
- Implement statistical analysis and machine learning algorithms using Python or R.
- Visualize data and model results to communicate findings effectively.
- Participate in team meetings and contribute to project discussions.
- Learn and apply new data science techniques and tools.
- Assist in documenting data science processes and methodologies.
- Help maintain data pipelines and ensure data quality.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
- Basic understanding of statistical concepts and machine learning algorithms.
- Familiarity with programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data visualization tools is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication skills, both written and verbal.
- Ability to work independently and collaboratively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- A genuine interest in data science and predictive modeling.
This advertiser has chosen not to accept applicants from your region.
5
Junior Data Scientist - Predictive Modeling
75111 Samarinda, East Kalimantan
IDR6000000 Monthly
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Are you a bright, ambitious graduate eager to launch your career in data science? This is your chance to join our innovative, fully remote team as a Junior Data Scientist, focusing on predictive modeling. You will gain invaluable hands-on experience, working alongside seasoned professionals on challenging projects that drive business insights and solutions. This internship offers a structured learning environment where you can apply your academic knowledge and develop cutting-edge skills in a flexible, work-from-home setting.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for predictive modeling.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Help in evaluating model performance and documenting methodologies.
- Contribute to the creation of visualizations and reports to communicate findings to technical and non-technical audiences.
- Collaborate with cross-functional teams to understand data requirements and project goals.
- Stay updated with the latest advancements in data science, machine learning, and predictive analytics.
- Participate in team meetings and contribute to discussions on project strategy and execution.
- Learn and apply best practices in data science project management and code development.
- Gain exposure to various data science tools and programming languages.
Qualifications:
- Recent graduate with 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 such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, suitable for a remote team environment.
- Eagerness to learn and a proactive attitude towards taking on new challenges.
- Ability to work independently and manage time effectively in a remote setting.
- Prior internship or project experience in data science is a plus.
This advertiser has chosen not to accept applicants from your region.
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6
Junior Data Scientist - Predictive Modeling
16611 Bogor, West Java
IDR18000000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is seeking an ambitious and detail-oriented Junior Data Scientist to join their innovative analytics team. This is a fully remote role focused on developing and implementing predictive models to drive business insights and strategic decisions. You will work closely with senior data scientists and business stakeholders to understand data requirements, clean and preprocess large datasets, and build machine learning models. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) are essential. You will be responsible for exploring data, identifying patterns, developing features, and evaluating model performance using appropriate metrics. Strong statistical knowledge and an understanding of various machine learning algorithms (e.g., regression, classification, clustering) are required. The ideal candidate will possess excellent analytical and problem-solving skills, a keen eye for detail, and the ability to communicate complex findings clearly and concisely. A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is a prerequisite. Prior internship or project experience in data science or a related analytical role is highly desirable. You will be expected to contribute to the entire data science lifecycle, from data acquisition and exploration to model deployment and monitoring. This remote position offers the unique opportunity to learn from experienced professionals and contribute to impactful data-driven projects. The ability to work independently, manage your time effectively, and collaborate with a distributed team is paramount. You will be instrumental in uncovering valuable insights from data and shaping the future of our client's analytical capabilities. The successful candidate will be a proactive learner, eager to tackle new challenges and contribute to a collaborative and innovative work environment.
This advertiser has chosen not to accept applicants from your region.
7
Junior Data Scientist - Predictive Modeling
75212 Samarinda, East Kalimantan
IDR100000000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a forward-thinking analytics firm, is looking for an ambitious and motivated Junior Data Scientist to join their expanding team. This is a fully remote position, offering a fantastic opportunity for recent graduates or early-career professionals to develop their skills in a supportive environment. You will work closely with senior data scientists to develop, implement, and validate predictive models that drive business insights and solutions. Your responsibilities will include data cleaning, feature engineering, model training, and performance evaluation. The ideal candidate possesses a strong quantitative background, proficiency in programming languages like Python or R, and a keen interest in machine learning and statistical analysis. Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and potential insights.
- Collaborate with senior data scientists to develop and implement machine learning models for predictive tasks (e.g., forecasting, classification, regression).
- Conduct feature engineering and selection to improve model performance.
- Train, test, and validate machine learning models using appropriate statistical techniques.
- Interpret model results and communicate findings clearly and concisely to technical and non-technical audiences.
- Document data sources, methodologies, and model development processes.
- Stay up-to-date with the latest advancements and research in data science and machine learning.
- Support the deployment and monitoring of predictive models in production environments.
- Contribute to team discussions and projects, seeking guidance and learning from experienced professionals.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with SQL for data extraction and manipulation.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and as part of a collaborative remote team.
- Internship or project experience in data analysis or machine learning is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Lead Data Scientist - Predictive Modeling
50131 Semarang, Central Java
IDR40000000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is seeking an exceptional Lead Data Scientist to spearhead their advanced analytics and predictive modeling initiatives. This is a fully remote position, offering the flexibility to work from anywhere while contributing to cutting-edge research and development. The ideal candidate possesses a deep understanding of machine learning algorithms, statistical modeling, and data mining techniques, coupled with extensive experience in applying these methodologies to solve complex business problems. You will be responsible for leading a team of data scientists, mentoring junior members, and driving the end-to-end development of predictive models, from data exploration and feature engineering to model deployment and evaluation. Your work will involve analyzing large, complex datasets, identifying trends, and generating actionable insights that inform strategic decision-making. We are looking for a visionary leader with a strong analytical mindset, excellent problem-solving skills, and the ability to communicate technical findings effectively to both technical and non-technical stakeholders. Key responsibilities include designing and implementing machine learning pipelines, conducting rigorous statistical analysis, developing robust forecasting models, and staying abreast of the latest advancements in AI and data science. You will collaborate closely with engineering, product, and business teams to identify opportunities for data-driven innovation. This role requires a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, along with a minimum of 7 years of progressive experience in data science and machine learning, including leadership experience. Proficiency in programming languages such as Python or R, experience with big data technologies (e.g., Spark, Hadoop), and familiarity with cloud platforms (e.g., AWS, Azure, GCP) are essential. The successful candidate will have a proven track record of delivering impactful data science projects and a passion for pushing the boundaries of what's possible with data. This is a unique opportunity to shape the future of data-driven decision-making at a forward-thinking organization, contributing to significant advancements in scientific research and development, all within a remote work environment that fosters autonomy and innovation.
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