Data Science Manager at Visa

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Visualization, Statistical Techniques, SQL, R, Python, Business Insights, Collaboration, Project Management, Data Mining, Analytical Skills, Communication, Apache Spark, PowerBI, Tableau, Problem Solving

Industry

IT Services and IT Consulting

Description

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 Responsibilities: Evangelizes the creative use of data analytics to explore large data sets and summarise results Works with VBEI Data Scientists to drive data science business development opportunities and new data products Build data dashboards for presenting insights and data products to key stakeholders Create and deliver powerful business-centric insights from data through visualization and storyboarding Collaborating with the internal partners to fully understand business requirements and desired business outcomes Execution proficiency in handling multiple medium data analytics projects along with rest of the stakeholders in the project team Defining detailed analytic scope and methodology, and creating analytic/approach plans Executing on the analytic plans with appropriate data mining and statistical techniques Ensuring project delivery within timelines Ensuring all project documentation is up to date and all projects are reviewed per analytic plan Providing subject matter expertise and quality assurance of complex data analytics projects Automating processes/codes Familiarising yourself with new tools/software/techniques This is a hybrid position. This requires 3 days per week (Tuesdays, Wednesdays and Thursdays) attendance in the office. Qualifications Basic Qualifications: Strong passion for working with complex data sets and tackling quantitative problems Experience in data analytics and data visualisation Graduate degree (Masters) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor Hands-on experience with one or more data analytics/programming tools such as R/Python Hands-on experience with SQL databases Experience in the application of analytics technique to business problems Ability to communicate the results of projects to both technical and business audiences Full professional proficiency in English and Polish Preferred Qualifications: Experience with distributed computing in Apache Spark is a plus Experience with dashboarding tools such as PowerBI/Tableau is a plus Relevant degree in data analytics, statistics, mathematics etc. Passion in processing and summarising large data sets. Knowledge of payment network transactional data is a plus Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels Proven skills in translating analytics output to actionable recommendations and delivery 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.

Responsibilities

The Data Science Manager will evangelize the creative use of data analytics to explore large data sets and summarize results. They will collaborate with internal partners to understand business requirements and deliver insights through data visualization and storyboarding.