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Data Scientist
Ecobank Transnational Incorporated. Support work on core business products and customer transactions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning model development, data analysis, and predictive modeling, with a strong foundation in SQL, Python, and statistical techniques. Capable of translating business needs into technical requirements while effectively communicating insights to product and leadership teams.
Highest-signal resume keywords
Machine Learning Model DevelopmentSQL ProgrammingData Analysis and PresentationStatistical Software ProficiencyData Warehouse Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningSQLPythonData AnalysisStatistical TechniquesData MiningPredictive ModelingHypothesis TestingData ProfilingETL Framework
Soft Skills
Analytical SkillsProblem-SolvingCommunicationTeam CollaborationCustomer-Service Orientation
Tools & Technologies
HadoopHiveMapReduceMySQLOracleMicrosoft ExcelPowerPivotRSASSPSS
Industry Keywords
Big DataData WarehouseStatistical ModelingData QualityBusiness Analysis
Tech Stack
Tools & technologiesETLHadoopMapReduceMySQLOraclePerlPHPPythonSQL
About the role
Key responsibilities & impact- Support work on core business products and customer transactions
- Assist in developing machine learning models under guidance and using industry best practice
- Assist with building, deploying, implementing, and maintaining predictive models and rating algorithms
- Gain familiarity with data capture methods, including REST APIs
- Support building pipelines for real-time consumption and analysis of internal and external data sources
- Support hypothesis testing, machine learning, and analytical designs for prediction, forecasting, and product and business development
- Apply quantitative analysis, data mining, and data presentation to understand customer and user interactions with business products and systems
- Assist in designing and evaluating data experiments
- Support monitoring of key product metrics
- Help build datasets for operational and exploratory analysis
- Assist in evaluating and defining data warehouse metrics
- Contribute to understanding user behaviours and long-term trends
- Support product teams with data-based recommendations
- Communicate business status and experiment results to product teams
- Gain exposure to Hadoop, Hive, MapReduce, MySQL, and Oracle
- Assist in building and maintaining pipelines through querying tools and the ETL framework for the Data Warehouse
- Collaborate with the analytics team to formulate innovative solutions and apply modelling techniques
- Support identification of business opportunities through data mining
- Fulfil ad-hoc data requests and respond to business enquiries
- Provide L1/L2 support alongside junior colleagues and manage and resolve team tickets through SysAid
Requirements
What you’ll need- B.A. / B.Sc. in Computer Science, Math, Physics, Engineering, Economics, Statistics or another technical field
- Some experience in SQL or other programming languages
- Basic development exposure to at least one scripting language, such as Python, PHP, or Perl
- Ability to communicate analysis results clearly and effectively with product and leadership teams
- Foundational understanding of statistics, including hypothesis testing and regression analysis
- Growing ability to manipulate datasets through statistical software such as R, SAS, SPSS, or Minitab
- Passion for working with big data and interest in customer and financial models
- Awareness of Data Warehouse design and strategy concepts
- Understanding of relational database and star schema concepts
- Understanding of data profiling and data quality/testing concepts
- Experience with Microsoft Excel / PowerPivot
- Foundational exposure to statistical modelling techniques
- Exposure to Big Data technologies
- Ability to understand unique business needs and translate them into technical requirements, with support
- Demonstrated ability to handle multiple projects and deadlines
- Customer-service orientation
- Result-driven and action-oriented approach
- Team-player mentality
- Self-motivation and ability to work independently and autonomously when asked
- Strong analytical and problem-solving skills
- Ability and interest in analyzing and extracting useful, business-related information from large amounts of customer and pricing data
Benefits
Comp & perks- Equal opportunities and an inclusive and diverse workplace
- Applications encouraged regardless of nationality, race, gender, age, social class, religion, beliefs, and disability, subject to local laws and regulations