22 Sep 2022

Senior Data Scientist at Tezza Business Solutions Ltd

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Job Description

Tezza Business Solutions Ltd is a “niche” service provider of Software Development, Quality Assurance and Software Testing services. Tezza began its operations as Web Development company in 2000 in Overland Park, Kansas. Since then, we’ve evolved into a Services-oriented company who only engage in Product development as a value-add service to our customers who continue to appreciate our “Customer First” Service Delivery approach. Tezza opened its first office in Kenya in 2009 with a primary goal of building capacity of qualified software development and testing resources to work on outsourced projects from North America. Whilst we are partners and reseller of solutions today, our primary interest is in providing services; the products we sell are sold in conjunction with the services we provide. Since 2009, Tezza has grown in size and reputation with over 150 resources and offices in key 4 East and West African countries – Kenya, Nigeria, Tanzania and Uganda. Tezza has now become the #1 QA and Software Testing Company in East Africa providing services to companies within the Banking, Insurance, Healthcare and Telecommunication market verticals.

Job Purpose

The candidate will apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

Responsibilities:

  • Develop advanced ML (such as fraud etc) Credit scoring models for different business scorecards using ensemble algorithms in python.
  • Conduct EDA, data extraction, data cleaning and documentation of created models
  • Engage central team ensuring laid down best practices are followed
  • Develop models which do not deviate too much from developed algorithms for Kenya
  • Engage business stakeholders to glean from domain knowledge in creating fit for purpose algorithms
  • Ensure codes are refactored for data engineering pipeline
  • Engage assigned data engineers to promote developed models to production
  • Engage scrum masters and project managers in a timely manner on a periodic basis to provide project updates
  • Delivering projects within the allocated timeline
  • Multitask by building more than one algorithm at each time

Qualifications

  • Bachelors Degree in Information Technology/ Information Studies and/or any other relevant course
  • Proven development experience in software and software engineering.
  • Understanding of financial services data processes, systems, and products.
  • Experience in technical business intelligence.
  • Knowledge of IT infrastructure and data principles.
  • Project management experience.
  • Exposure to governance and regulatory matters as it relates to data.
  • Experience in building models (credit scoring, propensity models, churn, etc.).
  • Candidate should have 5 – 8 years of experience:
    • Working with unstructured data (e.g. Streams, images)
    • Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
    • Using data mining to discover new patterns from large datasets.
    • Implement standard and proprietary algorithms for handling and processing data.
    • Experience with common data science toolkits, such as SAS, R, SPSS, etc.
    • Experience with data visualisation tools, such as Power BI, Tableau, etc.
    • Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Qlikview; SSIS SSRS, Python, JSON , C#, Java, C++, HTML




Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : 15 October. 2022





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