Works with Users, Business Project Managers, IT Support Team, IT PMO, Finance, Commercial and other stakeholders to understand their needs and requirements and tailor appropriate solutions.
Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests
Delegating tasks to Data Scientists in order to realize the successful completion of projects.
Cross-validating models to ensure their generalizability
Producing and disseminating non-technical reports that detail the successes and limitations of each project
Interpreting data, analyzing results using statistical techniques and Machine learning
Analyze and communicate business needs by translating business requirements into technical specifications
Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Conduct full lifecycle analysis to include requirements, activities and design
Identify, analyze, and interpret trends or patterns in complex data sets
Maintain and define new process improvement opportunities
Build analytic report and data visualization Dashboard
Maintain and monitor for data accuracy
Learn new technology if require
Resolve tickets on Web Helpdesk if require
Job Requirements
Education: Advanced degree in Data Science, Statistics, Information Technology
Experience: at least 3 year experiences in Data Science, programming (Python/R), statistical and Machine Learning
Skills: programming (Python/R .), BI tools, statistical analysis, Machine learning and data analysis
Knowledge: data analysis, analytic report/dashboard, database (Oracle, Postgres), big data tools, business concept
Responsibilities:
* Identify valuable data sources and automate collection processes
* Undertake preprocessing of structured and unstructured data
* Analyze large amounts of information to discover trends and patterns
* Build predictive m
Job Responsibilities
* Data extraction, cleansing and manipulation
* Liaison with IT/DW/Operations departments to ensure accuracy of data
* Statistical modeling - Development of models using appropriate techniques including machine learning
Key Responsibilities
* Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
* Mine and analyze data from company databases to drive optimization and improvement of
Senior Python Application Developer (Financial Application)
Job description
We are looking for python application developer for market data analytics application handling and managing large scale of data both structured and unstructured. This applica
Job Summary:
Responsibilities:
. Develop Data mining solutions using state-of-the-art methods according to business requirements.
. Explain Data Mining results or relationships between features to the business users or MIS & Analytics.
. Process,
Consultant- Data Scientist - SEA
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Date Posted:2022-06-13-07:00
Country: United States of America
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