6 Data Miner jobs in Vietnam

**Mô tả công việc**:
(Mức lương: Thỏa thuận)

1. Contribution to IT Strategy by facilitating exploration through POC/POV - under the supervision and guidance of her/his primary Community of Practice Lead and Product Group Manager based in Switzerland
- Articulates a vision and roadmap for ingestion, cleansing, staging, harmonization and exploitation of data as a valued corporate asset in relation with existing functional priorities to help Product Managers explore new ways to solve complex business problems
- Works on data requirements (provided by UX and Data Scientists) that will be used to train and develop models and algorithms to solve business challenges
- As part of a POC/POV, creates data ingestion strategies, prepares data, helps in variable creation, creates information models or data staging strategies and provides necessary cleansing activities
- Manages data lifecycle during the POC/POV and also starts creating strategies to embed them into an industrialized model or service operations
- Manages data in secure and compliant way even during the POC/POV to avoid any potential risk
- Works with Lead markets, function, GMB/RMB to conduct the POC/POV and brings it to a closure

2. Operational effectiveness and efficiency by helping Industrialize proven models
- Helps product teams and Solution Architects industrialize information models proven during the POC/POV by devising data collection procedures to include information that is relevant for building analytic systems
- Helps Solution Architects develop processes and tools to monitor and information model performance and data accuracy ongoing
- Helps technical specialists design better descriptive and prescriptive analytics solutions by providing the basis of semantic models that can be used to visualize information and develop reports on results of data analysis to help facilitate new KPI/PPI discussions
- Helps technical specialists in api/interfacing technologies to understand better how to acquire data and create the ingestion layers of industrialized information models
- Educates and influences use of services rather than full automation where manual intervention makes sense based on the cost benefit analysis

3. Stakeholder engagement
- Influences information architects on what should be part of core data asset in the company and what has repeat value.
- Socializes best practices to analytics and product teams as well as facilitates market enablement of similar tasks
- Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions and provide data sourcing advisory
- Influences product teams including Solution Architects through presentation of data-based recommendations into evolving operational solutions with new and enhanced models including creating effective semantic models and effective interfacing and api connectors
- Champions best practices for data management across delivery as well as recipient organizations

**Chức vụ**: Nhân Viên/Chuyên Viên

**Hình thức làm việc**: Toàn thời gian

**Quyền lợi được hưởng**:
Luong Thang 14

Chăm sóc sức khỏe toàn diện

Laptop cá nhân

**Yêu cầu bằng cấp (tối thiểu)**: Đại Học

**Yêu cầu công việc**:

- Bachelor's Degree in Computer Science, Engineering or Management of Information Systems
- 5+ years of experience in information modelling and data engineering
- Capability to architect highly scalable distributed systems using open-source tools and big data technologies (such as Hadoop, HBase, Spark, Impala, Storm, etc.) in integration with other open-source or proprietary tools available through the Azure Market Place, especially the Cortana Intelligence components
- Experience in cloud-based agile, DevOps experience with PaaS & IaaS
- Experience using Big Data batch and streaming tools
- Experience in cloud-based agile, DevOps experience with PaaS & IaaS
- Experience with SQL, NoSQL, relational database design (SAP HANA would be a plus), methods for efficiently retrieving data, as well as data preparation/wrangling both on demand and in an industrialized way
- Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
- Experience programming in Python, Scala, R, Java, SQL (PowerShell and C# would be an added advantage)
- Experience with simple and elaborated data visualization: simple display (e.g. with Hue), use of notebooks (e.g. Jupyter, Zeppelin), build reports and dashboards (e.g. PowerBI, SAP BO suite).
- Demonstrated ability to work with mínimal supervision
- Demonstrated strong problem-solving skills with an emphasis on product development
- Experience with effective communication at different levels in the organization and in English
- Experience having worked in a global environment and with virtual teams

**Yêu cầu giới tính**: Nam/Nữ

**Ngành nghề**: CNTT - Phần Mềm

ACG_1589_JOB

Our client is a global technology company who is looking for a talent to join their firm:

- Establish, structure, and release customer and account data products on the data mesh, and provide them for critical use cases including new mobile apps, reporting, and analytics.
- Oversee the continual enhancement of data assets and governance procedures in order to provide clients with easy and reliable access to the data they require.
- Guide and manage a team of Analytics Engineer to optimize their competencies and creativity
- Research and learn more about the Data mesh and other its relevant aspects

**Requirements**:
- Bachelor’s Degree in IT, Computer Science, Software EngineeringMinimum 8 years of working experience in Data Engineering or similar roles, with hands-on experience of working with Data projects that have a complete CI/CD systemProficient in Data warehouse (On-prems or on Cloud) and Business Intelligence tools such asPower BI, Tableau, Oracle BI, Looker Studio, etc.Expertise in ETL tools (SSIS, Informatica, GCP DataFlow, etc.), SQL and Data modeling (Dimensional Modeling, Data Vault)Experienced in programming language (Python), automating data collection and data analysis, and Git source controlHaving experience in Unit Test Data, GCP Big Query, DBT, Github Actions and Terraform is an advantageGood leadership skills with the ability to influence other colleagues and stakeholdersVerbally fluent in English

**_

**Job Description**:
**Life at Grab**

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

**Get to know the Team**

Grab Support (GS) Product Analytics (PA) team primarily supports the Grab Support product and eng team, and also the business org - which is the customer service arm for all issues consumers, drivers and merchants raise with Grab. Data Scientists (Analytics) are part of Grab Support Tech Family (GSTF). If you are looking for an intellectually stimulating and complex challenge, then you should join our team!

**Get to know the Role**

We are looking for a Data Scientist (Analytics) to drive key analytical initiatives for the GS team at Grab. We care about deeply understanding how users experience the Support Products (Help Centre, Chatbots etc) and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set. We remain integral to the product development process from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization. We provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems.

**The Day-to-Day Activities**
- Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
- Mine clickstream and transactional data to drive GS product metrics through a deep understanding of user behavior i.e. consumers, driver-partners, merchants, etc. Implement, own and manage all instrumentation for all feature releases within GSTF
- Produce segmented views of our customers, merchants for our business, and product stakeholders to drive product iterations and improvements
- Problem-solve with the right balance of rigor, technical complexity, and explainability, keeping in mind the practical constraints of our real-world business and operations.
- Define and align with stakeholders on key metrics, design, and propose experimentation strategies.
- Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment
- Develop and uphold best practices with respect to change management, documentation, and data protocols.

**The Must-Haves**
- For Data Scientist (Analytics): 1+ years experience working in data-related with Analytics experience and a strong business acumen, preferably in the e-commerce or internet industry.
- Strong data visualization and storytelling skills. Experience in creating dashboards using Tableau and other visualization tools. Knowledge of Azure toolstack (Databricks, PowerBI, Azure Data Explorer) will be a plus.
- Fluent with SQL, Python, R or other scripting/programming languages for problem-solving. Experienced with working with very large datasets.
- Ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision-making while maintaining a high attention to detail.
- Self-starter, principled, and driven to do the right thing for an organization. Able to operate very independently with a high degree of ambiguity; a person who enjoys and learns from experimentation.
- Quantitative discipline with strong business sense and ability to articulate complex analyses results to a wide range of audiences, and translate these to actionable business insights. Primarily driven by quantitative outcome for all decision making.
- Strong statistical knowledge with hands-on experience running and analyzing controlled experiments will be a plus.

**Our Commitment**

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

NIC’s Client

**Job Description**:
Job Responsibilities (include, but not limited to the following):

- Participate in architecture, design and implementation of large-scale distributed system that extract data.
- Perform data scraping, cleansing, curation, parsing, integration, semantic mapping and enrichment.
- Create and maintain documentation and technical specs.
- Perform analysis and monitoring on datasets to ensure completeness and integrity.
- Coordinate project-related work with researchers and engineering teams.
- Manage, monitor and mentor the effort of data pipeline including agent configuration and data publishing.

Job Qualifications:

- Exceptional academic background with bachelor’s degree or higher in Computer Science or Computer Engineering.
- Experience in Web crawling and/or scraping skills with or without a framework
- Experience in software development life cycle and developing large scale software systems
- Proficiency in high level language such as Python, Java or Perl
- Proficiency in a query language and using SQL
- Experience in programming and working in AWS infrastructure
- Excellent verbal and written communication skills in both Vietnamese and English
- Machine Learning Research and NLP Experience is a great plus

Rewards:

- Competitive compensation package
- Collaborating with talented software engineers
- Formulate and execute projects that will have a real impact
- Improve your personal and technical skills

**Job Description**:
**Life at Grab**

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

**Get to know the Team**

Grab Support (GS) Product Analytics (PA) team primarily supports the Grab Support product and engg team, and also the business org - which is the customer service arm for all issues consumers, drivers and merchants raise with Grab. Data Scientists (Analytics) are part of Grab Support Tech Family (GSTF). If you are looking for an intellectually stimulating and complex challenge, then you should join our team!

**Get to know the Role**

We are looking for a Senior Data Scientist (Analytics) to drive key analytical initiatives for the GS team at Grab. We care about deeply understanding how users experience the Support Products (Help Centre, Chatbots etc) and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set. We remain integral to the product development process from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization. We provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems.

**The Day-to-Day Activities**
- Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
- Mine clickstream and transactional data to drive GS product metrics through a deep understanding of user behavior i.e. consumers, driver-partners, merchants, etc. Implement, own and manage all instrumentation for all feature releases within GSTF
- Produce segmented views of our customers, merchants for our business, and product stakeholders to drive product iterations and improvements
- Problem-solve with the right balance of rigor, technical complexity, and explainability, keeping in mind the practical constraints of our real-world business and operations.
- Define and align with stakeholders on key metrics, design, and propose experimentation strategies.
- Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment
- Develop and uphold best practices with respect to change management, documentation, and data protocols.

**The Must-Haves**
- For Senior Data Scientist (Analytics) 3+ years experience working in data-related and/or quantitative fields, preferably in the e-commerce or internet industry.
- Strong data visualization and storytelling skills. Experience in creating dashboards using Tableau and other visualization tools. Knowledge of Azure toolstack (Databricks, PowerBI, Azure Data Explorer) will be a plus.
- Fluent with SQL, Python, R or other scripting/programming languages for problem-solving. Experienced with working with very large datasets.
- Ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision-making while maintaining a high attention to detail.
- Self-starter, principled, and driven to do the right thing for an organization. Able to operate very independently with a high degree of ambiguity; a person who enjoys and learns from experimentation.
- Quantitative discipline with strong business sense and ability to articulate complex analyses results to a wide range of audiences, and translate these to actionable business insights. Primarily driven by quantitative outcome for all decision making.
- Strong statistical knowledge with hands-on experience running and analyzing controlled experiments will be a plus

**Our Commitment**

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.