Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa U.S.A. Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington DC to <ul><li>Brainstorm innovative ways to use unique data to answer business problems.</li><li>Communicate with clients to understand the challenges they face and convince them with data.</li><li>Extract and understand data to form an opinion on how to best help clients and derive relevant insights.</li><li>Develop visualizations to make complex analyses accessible to a broad audience.</li><li>Find opportunities to craft products out of analyses that are suitable for multiple clients.</li><li>Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.</li><li>Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Develop custom data models and algorithms to apply to data sets.</li><li>Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.</li><li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li><li>Domestic travel may be required up to 5% of the time.</li><li>Position reports to the Washington, DC office and may allow for partial telecommuting.</li></ul> Qualifications Basic Qualifications: <ul><li>Employer will accept a Bachelor's degree in Statistics, Operations Research, Economics, Computer Science or related field and 2 years of experience in the job offered or in a data scientist-related occupation. </li><li>Position requires experience in the following:</li><li>Extracting and aggregating data from large data sets using SQL or other similar tool;</li><li>Developing visualizations in Tableau or other similar software, and communicating insights from complex analyses to a broader audience;</li><li>Understanding and analyzing data using statistical software, such as Python, SAS, R, or Stata;</li><li>Data mining and statistical modeling (e.g., regression modeling, clustering techniques, or decision trees, etc.); and</li><li>Developing custom data models and algorithms to apply to data sets.</li></ul> Additional Information Worksite: Washington DC 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. Travel Requirements: Domestic travel may be required up to 5% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. 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. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $113,000.00 USD to $175,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for an annual bonus and equity. Visa has a comprehensive benefits package for which this position is eligible that includes Medical, Dental, Vision, 401(k), Employee Stock Purchase Program, FSA/HSA, Life Insurance, Paid Time off and Wellness Programs.

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 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. Qualifications Basic Qualifications 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 6+ years of experience in data science, machine learning, AI, or a related field. Proficient in Python, R, SQL, and other data science tools. Experience with big data platforms like Hadoop, Spark, or similar technologies. Strong knowledge of machine learning techniques and algorithms. Experience with Generative AI techniques. Familiarity with Large Language Models such as OpenAI's GPT-3, and open-source models like Falcon or Llama2. Proficient in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models. Excellent problem-solving skills and ability to think critically. Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. Familiarity with the sales and client services industry is a plus. Experience with cloud platforms like AWS, GCP, or Azure is good to have. Knowledge of data privacy and security principles. Familiarity with data visualization tools like Tableau, PowerBI, or similar. Ability to work in a team and independently as required. Proficient in using Git and version control systems. Experience in working with unstructured data. Familiarity with containerization technologies like Docker or Kubernetes. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. 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. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 139,800.00 to 202,750.00 per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Visa U.S. A. Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington DC to Brainstorm innovative ways to use unique data to answer business problems. Communicate with clients to understand the challenges they face and conv Data Scientist, Scientist, Customer Experience, Technology, Data

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 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. Qualifications Basic Qualifications 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 6+ years of experience in data science, machine learning, AI, or a related field. Proficient in Python, R, SQL, and other data science tools. Experience with big data platforms like Hadoop, Spark, or similar technologies. Strong knowledge of machine learning techniques and algorithms. Experience with Generative AI techniques. Familiarity with Large Language Models such as OpenAI's GPT-3, and open-source models like Falcon or Llama2. Proficient in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models. Excellent problem-solving skills and ability to think critically. Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. Familiarity with the sales and client services industry is a plus. Experience with cloud platforms like AWS, GCP, or Azure is good to have. Knowledge of data privacy and security principles. Familiarity with data visualization tools like Tableau, PowerBI, or similar. Ability to work in a team and independently as required. Proficient in using Git and version control systems. Experience in working with unstructured data. Familiarity with containerization technologies like Docker or Kubernetes. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. 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. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 139,800.00 to 202,750.00 per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Data Scientist Visa Jobs

Data Scientist Vpm Fraud Modeling New College Grad 2025
October 15, 2024

Data Scientist
October 7, 2024

Data Scientist Sr Consultant Cybersecurity Ai Research Products
October 7, 2024

Data Scientist Vpm Fraud Modeling New College Grad 2025
October 5, 2024

Staff Data Scientist Client Services Hybridonsite
October 5, 2024

Data Scientist
October 5, 2024

Staff Data Scientist Client Services Hybridonsite
October 1, 2024

Senior Data Scientist
September 30, 2024

Quick filters

Top companies

Data Scientist Visa Jobs

Data Scientist Vpm Fraud Modeling New College Grad 2025October 15, 2024

Data ScientistOctober 7, 2024

Data Scientist Sr Consultant Cybersecurity Ai Research ProductsOctober 7, 2024

Data Scientist Vpm Fraud Modeling New College Grad 2025October 5, 2024

Staff Data Scientist Client Services HybridonsiteOctober 5, 2024

Data ScientistOctober 5, 2024

Staff Data Scientist Client Services HybridonsiteOctober 1, 2024

Senior Data ScientistSeptember 30, 2024