Sr. Director - Data Science and Machine Learning

Job Description

Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together , let's transform the way the world pays.

Job Description

Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.

Our VCA teams offers,

• Consulting services customized to the needs of Visa client’s business objectives and strategy
• Business and economic insights and perspectives that impact business and investment decisions
• Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
• Proven data-driven marketing strategies to increase clients’ ROI

VCA team is looking for an individual to join our data science practice. This is a unique opportunity to gain broad experience, have significant responsibility for a variety of projects and engage with key decision-makers. Reporting to the Head of Data Science in LAC.

This role will lead a team of data scientists, data engineers and machine learning engineers that will develop data driven solutions that sit atop vast Visa datasets. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data, identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions through activities like building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Python, (Py)Spark, etc.

Responsibilities

• Drive the evolution of Data & Data Driven Solutions with an impact focused on data science and engineering in VCA.
• Lead the development of data driven solutions aligned with market priorities
• Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
• Partner across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
• Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Work with cross-functional teams to define vision, establish team culture and processes
• Consistently focus on key drivers of organization value and prioritize operational activities accordingly
• Identify and act upon solution improvement opportunities
• Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.
• Implement a robust system for measuring and optimizing the quality of deployed algorithms and models. Institute ML processes for model development with an emphasis on auditability, versioning, and data security.
• Monitor ML models in production to evaluate performance, model drift, and decay.

Required Skills

• Prior experience in working in product development/management role
• Ability to coach, lead and provide direction to a diverse team of technical personnel
• Outstanding communication skills (both verbal and written) and organizational skills
• Demonstrate experience leveraging open-source tools, predictive analytics, machine learning, advanced statistics, and other data techniques to develop data driven solutions
• Hands-on experience extracting and manipulate large datasets (Big Data) using standard tools such as Hadoop (Hive), Spark, Python, SQL, etc.
• Hands-on experience developing Machine Learning models is a plus (Random Forest, Gradient Boosting, SVM, ANN) using Python (scikit-learn), Spark MLlib.
• Hands-on Experience with data visualization and tools like Tableau and Power BI.
• Experience in building and deploying production level data driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Scala, Python or (PySpark) and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
• Strong problem solving skills and ability to develop, understand, synthesize, and communicate technical complexities to non technical peers and clients, both senior and junior, in a simple and clear manner
• Ability to inspire, influence, negotiate and drive results
• Possess a high level of professionalism and leadership skills to build business relationships, trust and respect with business partners and cross-functional teams. Strong ability to collaborate across cultures.
• Fluency in English/ Spanish (spoken/written). Portuguese is a plus.

The following skills will be considered as a plus,

• Experience in developing integrated cloud applications with services like Azure. Databricks, Amazon or GCP
• Experience of managing/working in Agile teams

Qualifications

Basic Qualifications
•BA/BS required, MBA or other relevant Master's degree preferred (eg, engineering, computer science, Computer Engineering, applied mathematics or other related fields)
Preferred Qualifications
•At least 12 years of experience as data engineer and data scientist and with open-source tools
•At least 7 years of experience in managing people/teams
•At least 10 years of experience in Banking, Retailers or payment system.

Additional Information

Visa 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.

Sorry, this job has expired Sorry, this job has expired Privacy Policy Cookies Settings