Lead execute and deliver data science engagements for Indonesia clients
Define detailed scope and methodology design and create solutions execute on frameworks leveraging appropriate tools and techniques
Prepare and deliver presentations to clients effectively communicating insights recommendations and the value of data science solutions
Build strong relationships with Visa partners and clients and corresponding data science/analytics teams to drive collaboration and implementation of Visa recommendations track impact
Ensure consistency standards & quality control of data science work with all project documentation up to date
Actively seek out opportunities to innovate by using Visas data clients data and non-traditional data fit for purpose to the needs of our clients
Enhance existing data science techniques by promoting new methodologies and best practices in the field
Promote thought leadership in the data science domain and build intellectual property through innovation
Effectively interact with clients and manage internal/external stakeholder communication
Mentor guide and supervise data scientists in the project team
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications
- Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics Mathematics Physics Computer Science Economics or engineering or equivalent experience
Preferred Qualifications
- Minimum 8 years of professional work experience preferably in banking payments fintech or a related industry.
- Hands-on experience with data analytics/programming tools such as Python R and advanced skills in querying using SQL or other query languages.
- Hands-on experience working in Big Data ecosystems such as Hadoop Spark Hive Kafka GCP AWS and Azure. Experience with both on-prem and cloud environments is a plus.
- Hands-on experience with BI tools such as Power BI and Tableau.
- Proficiency in statistical techniques such as Neural Networks Gradient Boosting Linear & Logistic Regression Decision Trees Random Forests Markov Chains Support Vector Machines Clustering Principal Component Analysis Factor analysis etc.
- Demonstrated experience in planning organizing and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders
- Strong internal team and external client stakeholder management with a collaborative diplomatic and flexible style. Able to work effectively in a matrixed organization
- Excellent presentation and storytelling skills including strong oral and written capabilities
- Storyboarding and data storytelling including strong Excel and PowerPoint skills
- In-market experience and/or knowledge of local language culture as well as industry regulations
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Lead execute and deliver data science engagements for Indonesia clientsDefine detailed scope and methodology design and create solutions execute on frameworks leveraging appropriate tools and techniquesPrepare and deliver presentations to clients effectively communicating insights recommendations an...
Lead execute and deliver data science engagements for Indonesia clients
Define detailed scope and methodology design and create solutions execute on frameworks leveraging appropriate tools and techniques
Prepare and deliver presentations to clients effectively communicating insights recommendations and the value of data science solutions
Build strong relationships with Visa partners and clients and corresponding data science/analytics teams to drive collaboration and implementation of Visa recommendations track impact
Ensure consistency standards & quality control of data science work with all project documentation up to date
Actively seek out opportunities to innovate by using Visas data clients data and non-traditional data fit for purpose to the needs of our clients
Enhance existing data science techniques by promoting new methodologies and best practices in the field
Promote thought leadership in the data science domain and build intellectual property through innovation
Effectively interact with clients and manage internal/external stakeholder communication
Mentor guide and supervise data scientists in the project team
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications
- Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics Mathematics Physics Computer Science Economics or engineering or equivalent experience
Preferred Qualifications
- Minimum 8 years of professional work experience preferably in banking payments fintech or a related industry.
- Hands-on experience with data analytics/programming tools such as Python R and advanced skills in querying using SQL or other query languages.
- Hands-on experience working in Big Data ecosystems such as Hadoop Spark Hive Kafka GCP AWS and Azure. Experience with both on-prem and cloud environments is a plus.
- Hands-on experience with BI tools such as Power BI and Tableau.
- Proficiency in statistical techniques such as Neural Networks Gradient Boosting Linear & Logistic Regression Decision Trees Random Forests Markov Chains Support Vector Machines Clustering Principal Component Analysis Factor analysis etc.
- Demonstrated experience in planning organizing and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders
- Strong internal team and external client stakeholder management with a collaborative diplomatic and flexible style. Able to work effectively in a matrixed organization
- Excellent presentation and storytelling skills including strong oral and written capabilities
- Storyboarding and data storytelling including strong Excel and PowerPoint skills
- In-market experience and/or knowledge of local language culture as well as industry regulations
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
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