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Senior Data Engineer - MLOps, VCA Data Engineering

Company: Visa
Location: San Mateo
Posted on: June 16, 2022

Job Description:

Company DescriptionVisa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.Join Visa: A Network Working for Everyone.Job DescriptionTo ensure that Visa's payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for data engineers who are equally passionate about the opportunity to use Visa's rich data to tackle meaningful business problems.This position will be part of VCA (Visa Consulting & Analytics) function in building and maintaining global data assets and engineering solutions. In this role, you will be responsible for helping to develop a global engineering and solutions team focused in standardized development of Consulting Solutions. You will partner closely with Global stake holders in Visa consulting, data Science and data engineering teams. You will get chance to leverage your strategic planning, business analysis and technical knowledge of data engineering, tools and data architecture solutions. In addition to managing our portfolio of data engineering assets and solutions globally, you will play key roles in building relationships with Consulting partners to develop effective market response strategies. You will also be a hands-on expert able to direct & navigate both data engineering and data science teams to build effective data engineering solutions.The position is based at Visa's offices in Foster City, USAEssential FunctionsServe as a data science expert in designing, developing and implementing Deep Learning methodologies, and newer ML model implementations at scale.Build MLOps pipelines to support development, experimentation, continuous integration, continuous delivery, verification/ validation, and monitoring of AI/ML models.Model re-training, performance evaluation and score optimization for existing ML models.Build and maintain high performing ETL processes, including data quality and testing aligned across technology, internal reporting and other functional teams.Exposure to model management and governance practices. Ability to take decisions around model drift to monitor and refine models continuously. Create necessary validation and documentation to support the Model approval process with the Model Risk Management group to make it production readyCreate data dictionaries, setup/monitor data validation alerts and execute periodic jobs like performance dashboards, predictive models scoring for client's deliverablesDefine and build technical/data documentation and experience with code version control systems (for e.g., git). Ensure data accuracy, integrity and consistencyStrong understanding of development and implementation aspects of ML/AI, especially on billion-scale datasets. Ability to take small scale developed models as input and implement with requisite configuration and customization, while maintaining model performanceFind opportunities to create, automate and scale repeatable financial and statistical analysis for Visa Consulting and Analytics.Collaborate with Data Engineering and Data Science teams in North America and other Global regions to support and manage large scale data pipeline implementations and maintenance of key data assets.Business skills and general qualitiesGood business acumen to orient data analysis to business needs of clients.Ability to translate data and technical concepts into requirements documents, business cases and user stories.Good understanding of agile working practices and related program management skills.Good communication and presentation skills with ability to interact with different cross-functional team members at varying levelsAbility to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.Demonstrated intellectual and analytical rigor, team oriented, energetic, collaborative, diplomatic, and flexible style.Intellectually curious and continuously striving to learn.Technical skillsExpert knowledge in Deep Learning techniques and exploring newer approaches like federated learning and transfer learning.Proficient in some or all of the following techniques- Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms, Support Vector Machines.Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID).Experience working with large scale data ingestion, processing and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.).Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE's (Jupyter Notebooks).Strong programming ability in different programming languages such as Python and SQL.Experience working in building and integrating the code in the defined CI/CD framework using git.Preferred experience with Visualization Tools like Tableau, Power BI and D3This 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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.QualificationsBasic Qualifications--- Minimum of 5+ years of work experience with a Bachelor's Degree or 4+ years of experience with a Master's or Advanced Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent with analytics expertise in applying statistical solutions to business problems --- Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit, Pandas etc.)Preferred Qualifications6 or more years of work experience with a Bachelor's 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 PhDAdditional InformationVisa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.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.SummaryType: Full-timeFunction: Other

Keywords: Visa, San Mateo , Senior Data Engineer - MLOps, VCA Data Engineering, Engineering , San Mateo, California

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