Data Science Manager

2 weeks ago

Pretoria, Gauteng, South Africa Linkedin - Jobboard Full time

Role Overview
Our client is entering a new phase where operational and commercial excellence are key to success.

As part of their strategic vision, they are seeking a Data Science Manager to lead a team of data scientists and analysts in driving data-driven decision-making.

This role involves developing machine learning models, managing data infrastructure, and transforming business objectives into actionable insights to build a successful fintech business.

What You Will Do
  1. Responsible for driving the analytical, statistical, and programming interpretation of data to support decision making and drive business results.
  2. Support product teams with insights gained from analyzing company & customer data to provide business predictions, proposals, and recommendations to improve business outcomes.
  3. Leverage internal and, where applicable, external datasets to build and evolve, using "best practice" methodologies and statistical techniques.
  4. Accountable for the execution & building the next generation foundational BankTech data infrastructure and enable delivery of actionable insights to value-generating outcomes.
What You Need To Have
  1. Master's Degree in a Financial, Commerce, Statistical or related field.
  2. MBA or Masters.
  3. Understanding of emerging markets.
  4. Experience in ecommerce and electronic payment business.
  5. 8+ years of relevant work experience as a Data Engineer / Data Scientist.
  6. Minimum of 2 years in a managerial / leadership role.
  7. At least 3 years' experience within a non-traditional FinTech, Banking or Financial Services Sector.
  8. Experience in Data Science and Data Analysis within banking, finance and / or telecommunications industry.
  9. Experience in Data Engineering within banking or financial services industry.
  10. Understanding of enterprise-scale systems and technologies used in data infrastructures.
  11. Experience of working in an Agile / DevOps environment.
  12. GitHub or GitLab experience for CI / CD.
  13. Consistent improvement CI / CD applications for collaborations and enhancement to drive develop once and deploy to many mindset through container repositories.
  14. Proficiency in working with Python and its relevant libraries SAS or R / Scala for data clean up and advanced data analytics.
  15. Working knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE).
  16. Demonstrated experience utilizing software tools to query and report data and being software agnostic.
  17. Highly proficient in database management systems like Postgres, Oracle, Mongo, MSSQL.
  18. Experience in data analysis and management, business performance management and / or reporting within the financial sector or banking industry.
  19. Experience working in a medium to large organization.
  20. Experience working across global locations / regions and have a grasp of political, social, infrastructure and integrity challenges.

Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Software Development and Financial Services

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