Company:
Visa
Location: Austin
Closing Date: 21/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description
We are seeking a Staff Data Scientist to join our data science team in Austin. This individual contributor role will be responsible for driving data-driven decision making across the organization. They will collaborate with business stakeholders, understand their problems, and design data-based solutions for them. Key responsibilities include:
1. Develop and implement machine learning models, perform data analysis, and create predictive models to support the Sales and Client Services teams.
2. Collaborate with stakeholders across the organization to understand their data science needs and provide solutions.
3. Conduct research to identify new methods and techniques to improve existing models.
4. Create visualizations to communicate complex data and insights in a clear and effective manner.
5. Ensure data quality throughout all stages of acquisition and processing, including data cleaning, normalization, and transformation.
6. Continually monitor and evaluate the performance of the models.
7. Provide data-driven insights and recommendations to stakeholders.
8. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
We are seeking a Staff Data Scientist to join our data science team in Austin. This individual contributor role will be responsible for driving data-driven decision making across the organization. They will collaborate with business stakeholders, understand their problems, and design data-based solutions for them. Key responsibilities include:
1. Develop and implement machine learning models, perform data analysis, and create predictive models to support the Sales and Client Services teams.
2. Collaborate with stakeholders across the organization to understand their data science needs and provide solutions.
3. Conduct research to identify new methods and techniques to improve existing models.
4. Create visualizations to communicate complex data and insights in a clear and effective manner.
5. Ensure data quality throughout all stages of acquisition and processing, including data cleaning, normalization, and transformation.
6. Continually monitor and evaluate the performance of the models.
7. Provide data-driven insights and recommendations to stakeholders.
8. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
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