93 Data Modeling jobs in Indonesia
Data Management
IDR72000000 - IDR96000000 Y
Mangolia Femme
Posted today
Job Viewed
Job Description
Position: Data Management (Full-Time, On-Site)
Location: BSD (Bumi Serpong Damai, Tangerang)
Salary: IDR 6,000,000 – 8,000,000 per month
Job Description: ( ON SITE)
We are looking for a reliable Data Entry & Photo Uploader to join our team in BSD. This role involves entering accurate product data, uploading photos to our website, and ensuring that listings are clear, professional, and consistent. You will play an important part in maintaining the quality of our online platform.
Key Responsibilities:
- Enter and update product information into the website system
- Upload, organize, and manage product photos
- Check for errors and ensure data accuracy across listings
- Maintain consistency in product details and images
- Collaborate with the team to keep the website updated
Qualifications:
- Basic computer and internet skills
- Ability to speak and read English for communication and tasks
- Strong attention to detail and accuracy
- Ability to manage repetitive tasks efficiently
- Basic knowledge of e-commerce platforms is a plus
- Good organizational and teamwork skills
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Scientist - Risk Modeling
16511 Magelang, Central Java
IDR17000000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Data Scientist with expertise in risk modeling to join their team. This role offers a hybrid work arrangement, allowing for a blend of remote data analysis and in-office collaboration, client interaction, and strategic planning. You will be responsible for developing and implementing advanced statistical models to assess and mitigate various forms of risk within the insurance sector. The ideal candidate will possess a strong quantitative background, proficiency in machine learning techniques, and a deep understanding of insurance products and regulatory frameworks.
Key Responsibilities:
Key Responsibilities:
- Develop, validate, and deploy sophisticated statistical and machine learning models for risk assessment, including credit risk, market risk, and operational risk.
- Analyze large datasets to identify patterns, trends, and correlations relevant to risk management.
- Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
- Collaborate with actuaries, underwriters, and business stakeholders to understand risk appetite and requirements.
- Translate complex analytical findings into actionable insights and recommendations for business decisions.
- Develop dashboards and reports to visualize risk metrics and model performance.
- Stay current with the latest advancements in data science, machine learning, and quantitative finance.
- Mentor junior data scientists and contribute to the team's technical growth.
- Ensure compliance with data privacy regulations and ethical considerations in model development.
- Automate data pipelines and model deployment processes.
- Participate in cross-functional projects and contribute analytical expertise.
- Present findings and model methodologies to technical and non-technical audiences.
- Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Minimum of 5-7 years of experience in data science, with a significant focus on statistical modeling and risk management in the financial services or insurance industry.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of statistical modeling techniques, including regression analysis, time series analysis, and survival analysis.
- Experience with machine learning algorithms (e.g., gradient boosting, random forests, neural networks) and their application to risk modeling.
- Familiarity with insurance products, pricing, reserving, and regulatory requirements (e.g., OJK regulations).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex models clearly.
- Ability to work effectively both independently and as part of a hybrid team.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Scientist - Financial Modeling
40111 Bandung, West Java
IDR19000000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is seeking a highly analytical and innovative Senior Data Scientist with expertise in financial modeling to join their growing team in Bandung, West Java, ID . This office-based role is crucial for developing and implementing sophisticated data-driven strategies to optimize financial performance and inform strategic decision-making. You will leverage advanced statistical techniques, machine learning, and deep understanding of financial markets to uncover insights and build predictive models.
Responsibilities:
Responsibilities:
- Develop, validate, and deploy advanced statistical and machine learning models for financial forecasting, risk assessment, fraud detection, and portfolio optimization.
- Analyze large, complex datasets to identify key trends, patterns, and actionable insights relevant to financial performance.
- Collaborate with finance, product, and engineering teams to understand business needs and translate them into data science solutions.
- Design and conduct A/B tests and other experiments to measure the impact of implemented strategies.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders through reports and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and financial analytics techniques.
- Build and maintain robust data pipelines and infrastructure to support modeling and analysis.
- Mentor junior data scientists and contribute to the team's technical growth and best practices.
- Ensure data quality, integrity, and model explainability.
- Contribute to the development of data-driven decision-making frameworks within the organization.
- Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or Finance.
- Minimum of 5 years of experience as a Data Scientist, with a strong emphasis on financial modeling and analytics.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Strong understanding of statistical modeling, machine learning algorithms, and their application in finance.
- Experience with SQL and working with large databases.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a team environment.
- Knowledge of financial markets, investment strategies, or risk management is highly desirable.
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist - Predictive Modeling
28111 Pekanbaru, Riau
IDR16000000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
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.
This advertiser has chosen not to accept applicants from your region.
3
Principal Data Scientist - Financial Modeling
46151 Cirebon, West Java
IDR220000000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client is seeking a Principal Data Scientist specializing in Financial Modeling to join their elite, fully remote team. This senior leadership role requires a deep understanding of quantitative finance, advanced statistical modeling, machine learning, and the ability to translate complex financial challenges into data-driven solutions. You will be instrumental in developing sophisticated models that drive strategic decisions, risk management, and investment performance across the organization.
Core Responsibilities:
Core Responsibilities:
- Lead the design, development, and validation of advanced financial models, including predictive, risk, and valuation models.
- Apply cutting-edge machine learning techniques to extract insights from large, complex financial datasets.
- Collaborate closely with portfolio managers, risk analysts, and other stakeholders to understand their modeling needs and provide data-driven solutions.
- Develop and maintain robust data pipelines and infrastructure for model development and deployment.
- Evaluate and implement new data science methodologies and technologies relevant to financial applications.
- Communicate complex findings and model outputs effectively to both technical and non-technical audiences through reports, presentations, and visualizations.
- Mentor and guide junior data scientists and quantitative analysts.
- Ensure the rigorous testing, validation, and ongoing monitoring of deployed models.
- Contribute to the strategic direction of the firm's data science and quantitative research efforts.
- Stay abreast of regulatory changes and industry best practices in financial modeling and data science.
- Ph.D. or Master's degree in Quantitative Finance, Economics, Statistics, Computer Science, Mathematics, or a related quantitative field.
- A minimum of 10 years of experience in data science, quantitative analysis, or financial modeling within the banking or financial services industry.
- Proven expertise in building and deploying sophisticated financial models (e.g., time series analysis, credit risk models, derivative pricing).
- Deep knowledge of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their application to finance.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Experience with SQL and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Demonstrated experience leading complex data science projects and teams.
- Familiarity with financial markets and instruments.
This advertiser has chosen not to accept applicants from your region.
4
Junior Data Analyst - Predictive Modeling
15117 Tangerang, Banten
IDR6 Monthly
WhatJobs
Posted 6 days ago
Job Viewed
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.
5
Lead Data Scientist - Financial Modeling
76113 Balikpapan, East Kalimantan
IDR160000000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Lead Data Scientist with a strong background in financial modeling to join their fully remote, cutting-edge analytics team. This is a senior position responsible for developing advanced predictive models, driving data-driven decision-making, and mentoring junior data scientists. You will lead the design, development, and implementation of sophisticated machine learning algorithms and statistical models to address complex financial challenges. Responsibilities include data exploration, feature engineering, model training, validation, and deployment. A deep understanding of financial markets, risk management, and quantitative finance is essential. The ideal candidate will be proficient in programming languages such as Python or R, and possess extensive experience with data science libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop). Experience with cloud platforms (AWS, Azure, GCP) is highly desirable. You will collaborate closely with quantitative analysts, portfolio managers, and business stakeholders to translate business requirements into data science solutions. The ability to communicate complex technical findings and insights to both technical and non-technical audiences effectively is critical. You will also be responsible for staying current with the latest research and advancements in data science and financial technology, and for contributing to the team's technical roadmap. This fully remote role offers unparalleled flexibility and the opportunity to work on challenging problems with a global impact, contributing to key financial strategies from Balikpapan, East Kalimantan, ID , and beyond. Our client is committed to fostering a culture of innovation and continuous learning, providing a stimulating environment for top data science talent.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Data modeling Jobs in Indonesia !
6
Senior Data Scientist - Predictive Modeling
50131 Semarang, Central Java
IDR850 Annually
WhatJobs
Posted 7 days ago
Job Viewed
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.
7
Junior Data Analyst - Predictive Modeling
76114 Balikpapan, East Kalimantan
IDR6000000 Monthly
WhatJobs
Posted 8 days ago
Job Viewed
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.
8
Junior Data Analyst - Predictive Modeling
28111 Pekanbaru, Riau
IDR8 Monthly
WhatJobs
Posted 8 days ago
Job Viewed
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.
9