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Manager, Data Scientist

3-9 Years
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  • Posted a day ago
  • Over 50 applicants
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Job Description

  • Role & Responsibilities
  • Work closely with global pricing and interchange team to develop an analytic solution (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques that adhere to best practices and communicate a story on large volumes of data to support data insights across products, markets, and services.
  • Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Translate business requirements into tangible technical solution specifications and high quality, on time deliverables.
  • Strongly supports 80/20 principles to support development of modelling and reporting
  • Effectively use tools to manipulate large-scale databases, synthesizing data insights.
  • Provide 1st level insights / conclusions / assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint.
  • Apply quality control, data validation, and cleansing processes to new and existing data sources.
  • Recruit, train, develop and supervise analyst-level employees.
  • Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales and product teams.
  • All about You
  • A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or equivalent work experience.
  • High proficiency in using Alteryx, Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow), and advanced SQL to build Big Data products & platforms
  • Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.
  • Ability to build a strong narrative on the business value of products and actively participate in the product optimization efforts.
  • Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
  • Ability to easily move between business, analytical, and technical teams, and articulate solution requirements for each group.
  • Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI, Certification is a plus.
  • In depth technical knowledge, drive, and ability to learn new technologies.
  • Knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture is a plus.
  • Must be able to perform in a team, use judgment and operate under ambiguity
  • Education
  • Bachelor s or master s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred

More Info

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Open to candidates from:
Indian

About Company

Dynamic Yield by Mastercard enables teams to build personalized, optimized, and synchronized digital customer experiences, enhancing revenue and customer loyalty.

Job ID: 118947577

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