499 Data Mining jobs in Vietnam
Remote Lead Data Mining Engineer
600000 Phan Thiet, Binh Thuan
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is looking for an experienced and motivated Remote Lead Data Mining Engineer to spearhead data extraction and analysis initiatives. This is a fully remote position, offering the flexibility to work from anywhere, as long as you have a reliable internet connection and can effectively collaborate with a distributed team. You will be at the forefront of designing, developing, and implementing sophisticated data mining algorithms and pipelines that will unlock valuable insights from vast datasets. Your expertise will drive data-driven decision-making across the organization, impacting key strategic objectives.
Key Responsibilities:
This role is perfect for an individual who thrives in a remote work environment and possesses a deep understanding of data mining principles and big data technologies. You will be a key player in shaping our data strategy and delivering innovative solutions that drive business growth. We are seeking candidates who are proactive, self-motivated, and possess exceptional problem-solving skills, comfortable working autonomously while contributing to a collaborative team spirit. Join us in shaping the future of data insights from anywhere in the world.
Qualifications:
Key Responsibilities:
- Design, build, and maintain scalable data mining pipelines and infrastructure.
- Develop and optimize algorithms for data extraction, cleaning, transformation, and analysis.
- Collaborate with data scientists and business analysts to understand data needs and translate them into technical solutions.
- Identify patterns, trends, and anomalies in large datasets to uncover actionable insights.
- Implement machine learning models and statistical techniques for predictive analytics and data modeling.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Mentor and guide junior data engineers and analysts within the team.
- Evaluate and adopt new technologies and methodologies to enhance data mining capabilities.
- Develop documentation for data processes, algorithms, and systems.
- Communicate complex findings and technical details effectively to diverse audiences, including non-technical stakeholders.
This role is perfect for an individual who thrives in a remote work environment and possesses a deep understanding of data mining principles and big data technologies. You will be a key player in shaping our data strategy and delivering innovative solutions that drive business growth. We are seeking candidates who are proactive, self-motivated, and possess exceptional problem-solving skills, comfortable working autonomously while contributing to a collaborative team spirit. Join us in shaping the future of data insights from anywhere in the world.
Qualifications:
- Proven experience as a Data Mining Engineer or in a similar role involving large-scale data analysis.
- Strong proficiency in programming languages such as Python, R, or Java.
- Expertise in SQL and experience with big data technologies (e.g., Hadoop, Spark).
- In-depth knowledge of data mining techniques, machine learning algorithms, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote team setting.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
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0
Remote Mining Engineer - Data Analytics
700000 Can Tho , Can Tho
WhatJobs
Posted 10 days ago
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Job Description
Our client is looking for a skilled Remote Mining Engineer with a specialization in Data Analytics to join their forward-thinking team. This is a fully remote position, allowing you to contribute expertise in optimizing mining operations through advanced data analysis from any location. You will be responsible for collecting, processing, and analyzing large datasets from various mining operations, including geological data, production figures, equipment performance, and safety records. Your insights will be crucial in identifying trends, improving efficiency, reducing costs, and enhancing safety protocols. Responsibilities include developing predictive models, creating dashboards and reports for performance monitoring, and collaborating with operational teams to implement data-driven solutions. Proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization software (e.g., Tableau, Power BI) is required. Familiarity with mining software and operational data structures is highly desirable. The ideal candidate will possess strong analytical and quantitative skills, excellent problem-solving abilities, and the capacity to translate complex data into actionable business strategies. A background in mining engineering, geosciences, or a related field, combined with a passion for leveraging data analytics in the resource sector, is essential. This role offers a significant opportunity to impact operational performance and drive innovation in a remote capacity.
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1
Remote Senior Data Scientist (Mining Analytics)
00000 Rach Gia, Kien Giang
WhatJobs
Posted today
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Job Description
Our client, a pioneering force in the global mining industry, is seeking a highly skilled and experienced Senior Data Scientist with a specialization in mining analytics to join their fully remote team. This role is critical in leveraging advanced data science techniques to optimize exploration, extraction, and operational efficiency within the mining sector. You will work with vast datasets to uncover insights, build predictive models, and drive data-informed decision-making across the organization.
Responsibilities:
Qualifications:
This fully remote position offers unparalleled flexibility and the opportunity to shape the future of mining through data innovation. Our client provides a highly competitive salary, comprehensive benefits, and a culture that supports professional growth and cutting-edge research.
Responsibilities:
- Develop and implement advanced statistical models, machine learning algorithms, and data mining techniques to address complex challenges in the mining industry.
- Analyze large and complex datasets related to geological surveys, exploration data, operational performance, equipment maintenance, and market trends.
- Build predictive models for ore body estimation, resource prediction, operational efficiency, and equipment failure forecasting.
- Identify opportunities to leverage data science for process optimization, cost reduction, and safety improvement in mining operations.
- Design and conduct experiments to test hypotheses and validate model performance.
- Collaborate closely with geologists, engineers, and operations managers to understand their needs and translate them into data science solutions.
- Develop data visualizations and dashboards to communicate complex findings and insights to stakeholders.
- Stay current with the latest advancements in data science, machine learning, and their applications in the mining sector.
- Mentor junior data scientists and contribute to building a data-driven culture within the organization.
- Ensure data quality, integrity, and ethical use of data.
- Communicate technical findings and recommendations clearly and concisely to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Geostatistics, Mining Engineering, or a related quantitative field.
- Minimum of 6 years of experience as a Data Scientist, with a proven track record in applying data science techniques to mining operations or related fields.
- Strong expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Experience with big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL).
- Familiarity with geological data, geostatistics, and mining-specific software is highly desirable.
- Strong data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Ability to work independently and lead projects in a remote environment.
- Fluency in English is essential.
This fully remote position offers unparalleled flexibility and the opportunity to shape the future of mining through data innovation. Our client provides a highly competitive salary, comprehensive benefits, and a culture that supports professional growth and cutting-edge research.
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2
Remote Lead Data Scientist - Mining Analytics
20000 Haiphong , Haiphong
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Our client, a forward-thinking company in the Mining sector, is seeking a highly experienced Lead Data Scientist to join their team in a fully remote capacity. This pivotal role will involve leveraging advanced data analytics, machine learning, and statistical modeling techniques to drive innovation and optimize operations within the mining industry. You will lead a team of data scientists, mentor junior members, and oversee the end-to-end data science project lifecycle, from problem definition and data exploration to model development, deployment, and evaluation. The ideal candidate will have a deep understanding of mining processes and challenges, coupled with a strong track record in applying data science to solve complex business problems. Responsibilities include identifying key business questions, acquiring and preparing large datasets, developing predictive and prescriptive models, and communicating findings and recommendations to stakeholders at all levels. Expertise in programming languages like Python or R, SQL, and various machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) is essential. A PhD or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mining Engineering, or a related discipline, along with a minimum of 8 years of relevant experience, is required. Exceptional communication and leadership skills are crucial for guiding the team and influencing business strategy in this remote-first role.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and implementation of data science strategies for mining operations.
- Build and mentor a team of data scientists and analysts.
- Design and execute advanced analytical models for predicting equipment failure, optimizing resource allocation, and improving safety.
- Collaborate with domain experts to translate business needs into data science solutions.
- Develop and deploy machine learning models into production environments.
- Communicate complex technical findings to non-technical stakeholders effectively.
- Stay current with the latest advancements in data science and machine learning.
Qualifications:
- PhD or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Minimum of 8 years of experience in data science, with a focus on applied machine learning and statistical modeling.
- Proven experience leading data science teams and projects.
- Strong expertise in Python or R, SQL, and machine learning frameworks.
- Experience in the mining industry or a related resource sector is highly advantageous.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Must be able to work effectively and independently in a remote environment.
This advertiser has chosen not to accept applicants from your region.
3
Data Analytics Engineer
Colgate-Palmolive
Posted 2 days ago
Job Viewed
Job Description
No Relocation Assistance Offered
Job Number # - Ben Cat town, Binh Duong, Viet Nam
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
The Data Analytics Engineer at My Phuoc Plant is responsible for using analytical tools to uncover meaningful insights, trends, and patterns that directly contribute to informed business decisions.
+ Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines for manufacturing data from various systems (MES, Historian, PLCs, SAP, IoT, Google drive, Snowflake) into data lakes/warehouses/analytical platforms.
+ Develop and optimize data models within platforms like Snowflake, Databricks, or Google BigQuery to support analytics, reporting, and advanced analytics. Ensure data integrity, performance, and scalability for manufacturing data.
+ Implement automated data quality checks, validation, and monitoring processes in data pipelines for accurate, complete, and consistent manufacturing data. Embed data governance and security best practices.
+ Collaborate with Data Scientists and Analysts to operationalize analytical and machine learning models by building feature engineering pipelines, deploying models, and monitoring performance/data drift.
+ Evaluate, select, implement, and manage underlying data infrastructure and tooling (e.g., Airflow, streaming platforms, cloud services, computation engines) for efficient manufacturing data processing and analytics.
+ Identify and resolve data-related issues, pipeline failures, and performance bottlenecks. Optimize data processing and queries for efficiency, reduced latency, and cost management.
+ Serve as a technical expert, collaborating with OT, IT, production, engineering, and data consumption teams to understand data requirements, provide solutions, and ensure data availability/reliability.
+ Responsible for relevant EHS/Quality/FP&R performance expectations as defined in each standard's RACI matrix.
**Requirements**
+ Bachelor's degree in Data Analytics, Computer Science, Data Science, Information Technology, or a related discipline.
+ Minimum of 2 years of hands-on experience with business intelligence tools for data analysis and processing, such as Data Studio, Tableau, Domo, and Sigma.
+ Proficiency in data fields like SQL, Python, or R, and cloud BI tools such as Domo.
+ Interpersonal skills of communication, collaboration and problem solving
+ A strong grasp of supply chain principles, including production planning, inventory, logistics, procurement, and quality management, is vital. Understanding their interaction within the supply chain is essential for data analysis and process optimization.
+ Proactively seeks and adapts to new technologies with an open mindset.
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
#LI-On-site
Job Number # - Ben Cat town, Binh Duong, Viet Nam
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
The Data Analytics Engineer at My Phuoc Plant is responsible for using analytical tools to uncover meaningful insights, trends, and patterns that directly contribute to informed business decisions.
+ Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines for manufacturing data from various systems (MES, Historian, PLCs, SAP, IoT, Google drive, Snowflake) into data lakes/warehouses/analytical platforms.
+ Develop and optimize data models within platforms like Snowflake, Databricks, or Google BigQuery to support analytics, reporting, and advanced analytics. Ensure data integrity, performance, and scalability for manufacturing data.
+ Implement automated data quality checks, validation, and monitoring processes in data pipelines for accurate, complete, and consistent manufacturing data. Embed data governance and security best practices.
+ Collaborate with Data Scientists and Analysts to operationalize analytical and machine learning models by building feature engineering pipelines, deploying models, and monitoring performance/data drift.
+ Evaluate, select, implement, and manage underlying data infrastructure and tooling (e.g., Airflow, streaming platforms, cloud services, computation engines) for efficient manufacturing data processing and analytics.
+ Identify and resolve data-related issues, pipeline failures, and performance bottlenecks. Optimize data processing and queries for efficiency, reduced latency, and cost management.
+ Serve as a technical expert, collaborating with OT, IT, production, engineering, and data consumption teams to understand data requirements, provide solutions, and ensure data availability/reliability.
+ Responsible for relevant EHS/Quality/FP&R performance expectations as defined in each standard's RACI matrix.
**Requirements**
+ Bachelor's degree in Data Analytics, Computer Science, Data Science, Information Technology, or a related discipline.
+ Minimum of 2 years of hands-on experience with business intelligence tools for data analysis and processing, such as Data Studio, Tableau, Domo, and Sigma.
+ Proficiency in data fields like SQL, Python, or R, and cloud BI tools such as Domo.
+ Interpersonal skills of communication, collaboration and problem solving
+ A strong grasp of supply chain principles, including production planning, inventory, logistics, procurement, and quality management, is vital. Understanding their interaction within the supply chain is essential for data analysis and process optimization.
+ Proactively seeks and adapts to new technologies with an open mindset.
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
#LI-On-site
This advertiser has chosen not to accept applicants from your region.
4
Graduate Trainee - Data Analytics
220000 Phuong Son
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking enthusiastic and motivated Graduate Trainees to join their Data Analytics program. This is an excellent opportunity for recent graduates to kickstart their careers in a challenging and rewarding environment. You will be part of a hybrid work model, combining remote work with office-based collaboration. Your primary focus will be on learning and applying data analysis techniques to extract meaningful insights from complex datasets. You will assist senior analysts in data collection, cleaning, processing, and visualization. Responsibilities include developing reports, building dashboards, and contributing to data-driven decision-making processes. The ideal candidate possesses strong analytical skills, a passion for data, and proficiency in programming languages like Python or R, along with experience in SQL. Familiarity with data visualization tools such as Tableau or Power BI is highly desirable. You will work closely with various departments, supporting them with data-related projects and providing insights that drive business strategy. Continuous learning and development are encouraged, with opportunities to attend workshops and training sessions. We are looking for individuals who are eager to learn, possess a strong work ethic, and can contribute fresh perspectives. Excellent communication skills are essential for collaborating with team members and presenting findings. This hybrid role requires a commitment to both independent remote work and collaborative team sessions.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming data from various sources.
- Perform data analysis using statistical methods and programming tools.
- Develop reports and visualizations to present data insights clearly.
- Support the development of dashboards and business intelligence tools.
- Collaborate with team members on data-related projects and initiatives.
- Identify trends, patterns, and anomalies in data.
- Contribute to data quality assurance processes.
- Learn and apply new data analysis techniques and technologies.
- Prepare presentations summarizing analytical findings.
- Participate in team meetings and knowledge-sharing sessions.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for data extraction and manipulation.
- Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
- Excellent communication and presentation skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively both independently and as part of a team.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Trainee - Data Analytics
40000 Nam Dinh , Nam Dinh
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking bright and motivated Graduate Trainees to join their Data Analytics program. This is an exceptional opportunity for recent graduates to kickstart their careers in a data-driven environment, gaining hands-on experience and mentorship from industry experts. As a Graduate Trainee, you will be involved in various aspects of data analysis, from data cleaning and preparation to visualization and interpretation. You will work closely with experienced data analysts and business teams to understand data requirements, extract meaningful insights, and support decision-making processes. The ideal candidate has a strong quantitative background, a passion for data, and a desire to learn new technologies and methodologies. You should possess good analytical and problem-solving skills, attention to detail, and the ability to communicate findings effectively. This program is designed to provide a comprehensive learning experience, covering statistical analysis, data modeling, and the use of analytics tools and software. You will have the opportunity to contribute to real-world projects, develop your technical skills, and build a strong foundation for a successful career in data analytics. The program emphasizes practical application and continuous learning, providing a supportive environment for professional growth. You will learn to translate complex data sets into actionable business intelligence, helping the organization make more informed strategic decisions. Training will be provided on industry-standard tools and platforms. This role is based in Nam Dinh, Nam Dinh, VN , and requires full-time attendance in the office to facilitate direct mentorship and team collaboration.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop data visualizations and reports to communicate findings to stakeholders.
- Support the development and validation of data models.
- Collaborate with team members on data-related projects and initiatives.
- Learn and apply statistical techniques and data mining methods.
- Document data sources, methodologies, and findings.
- Participate in team meetings and contribute to project discussions.
- Gain exposure to various data analytics tools and technologies.
- Assist in ad-hoc data analysis requests.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Proficiency in Excel and basic knowledge of programming languages like Python or R is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong attention to detail and commitment to data accuracy.
- Good communication and interpersonal skills.
- Ability to learn quickly and adapt to new technologies.
- Eagerness to work in a team-oriented environment.
- A genuine interest in data and its applications in business.
This advertiser has chosen not to accept applicants from your region.
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6
Graduate Trainee - Data Analytics
50000 An Thanh
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking enthusiastic and ambitious Graduate Trainees to join their Data Analytics team. This program offers a unique opportunity for recent graduates to gain hands-on experience in a dynamic corporate environment, developing essential skills in data analysis, visualization, and business intelligence. As a Graduate Trainee, you will work closely with experienced data professionals on real-world projects, contributing to data-driven decision-making across the organization. This role requires your presence in the office to facilitate mentorship and team integration.
Program Focus:
Location: This is an on-site position requiring your full-time presence at our offices in **Vung Tau, Ba Ria–Vung Tau, VN**.
Program Focus:
- Learn to collect, clean, and preprocess large datasets from various sources.
- Develop skills in statistical analysis and predictive modeling using tools like Python (Pandas, NumPy, Scikit-learn) and R.
- Create compelling data visualizations and dashboards using tools such as Tableau, Power BI, or QlikView.
- Assist in identifying key trends, patterns, and insights within business data.
- Support the development of reports and presentations for stakeholders.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Gain exposure to database management concepts and SQL querying.
- Participate in team meetings, training sessions, and project reviews.
- Develop problem-solving skills and a strong understanding of business objectives.
- Contribute to the continuous improvement of data processes and methodologies.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL is essential.
- Basic understanding of data visualization principles and tools is advantageous.
- Excellent written and verbal communication skills.
- Eagerness to learn and a proactive attitude.
- Ability to work effectively in a team environment.
- Strong attention to detail and commitment to accuracy.
- Must be eligible to work in Vietnam.
Location: This is an on-site position requiring your full-time presence at our offices in **Vung Tau, Ba Ria–Vung Tau, VN**.
This advertiser has chosen not to accept applicants from your region.
7
Graduate Trainee - Data Analytics
05000 Hoa Sơn
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is actively seeking enthusiastic and driven Graduate Trainees to join their cutting-edge Data Analytics team. This is a fully remote, entry-level position designed for recent graduates eager to launch their careers in the exciting field of data science and analytics. You will have the opportunity to work alongside experienced data professionals, learning to extract, analyze, and interpret complex datasets to derive actionable insights. This role is crucial for supporting various business functions by providing data-driven recommendations. You will gain hands-on experience with industry-leading tools and methodologies in a supportive and collaborative virtual environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical methods and data visualization tools to identify trends, patterns, and anomalies.
- Support the development of reports, dashboards, and presentations to communicate findings to stakeholders.
- Learn and apply data modeling techniques and predictive analytics.
- Collaborate with team members on data-driven projects and initiatives.
- Contribute to the improvement of data quality and data management processes.
- Gain exposure to programming languages such as Python or R and SQL for data manipulation and analysis.
- Participate in training sessions and team meetings to enhance technical skills and industry knowledge.
- Develop a foundational understanding of business intelligence tools (e.g., Tableau, Power BI).
- Adhere to data privacy and security protocols.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel; experience with SQL is a plus.
- Familiarity with at least one programming language (e.g., Python, R) is advantageous.
- Excellent communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Proactive, eager to learn, and detail-oriented with a strong work ethic.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for data and uncovering insights.
- Enthusiasm for a career in data analytics.
This advertiser has chosen not to accept applicants from your region.
8
Research Scientist - Data Analytics
95000 Can Tho , Can Tho
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client is looking for a highly analytical and innovative Research Scientist to join their growing data analytics team. This role is situated in Can Tho, Can Tho, VN , and involves deep dives into complex datasets to extract actionable insights and develop predictive models. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, coupled with a passion for uncovering patterns and driving data-informed decisions. You will work on diverse projects, contributing to research and development efforts across various domains.
Key Responsibilities:
Qualifications:
Be part of a team that transforms data into knowledge and innovation!
Key Responsibilities:
- Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and correlations.
- Develop and implement statistical models, machine learning algorithms, and data mining techniques.
- Design and execute experiments to test hypotheses and validate findings.
- Create compelling data visualizations and dashboards to communicate insights effectively to both technical and non-technical audiences.
- Collaborate with stakeholders to understand business needs and translate them into analytical requirements.
- Develop predictive models to forecast future outcomes and support strategic planning.
- Stay current with the latest advancements in data analytics, machine learning, and statistical methods.
- Document research methodologies, findings, and recommendations.
- Contribute to the development of the company's data science capabilities and best practices.
- Mentor junior analysts and contribute to a culture of data-driven decision-making.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 3 years of experience in data analysis, statistical modeling, or machine learning.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Experience with database management systems and SQL.
- Strong knowledge of statistical concepts and machine learning algorithms.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work effectively in a collaborative, team-oriented environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Must be able to work on-site in Can Tho, Can Tho, VN .
Be part of a team that transforms data into knowledge and innovation!
This advertiser has chosen not to accept applicants from your region.
9