← Back to jobs

Analyst - Machine Learning Marketing

Unknown · Ikoyi, Lagos

Full TimeMidvia Telegram:Latest Jobs In Nigeria
Salary
Undisclosed
Location
Ikoyi, Lagos
Posted
1 week ago

Required skills

PythonSQLPySparkMachine LearningPredictive ModellingData ManipulationData TransformationBig Data TechnologiesStatistical AnalysisCustomer Segmentation

About the role

Analyst - Machine Learning Marketing

Role Overview: We are seeking an experienced Machine Learning Marketing Analyst to join our team in Ikoyi, Lagos. This role requires a strong background in data science, machine learning, and predictive analytics with a focus on customer insights and marketing applications.

Responsibilities:

  • Aggregate, transform, and explore data for analysis
  • Manipulate and interrogate customer data
  • Create training and inference pipelines
  • Build and validate machine learning models
  • Perform predictive modelling and customer segmentation analysis
  • Develop propensity models and conduct customer data analysis

Requirements:

  • First degree in Mathematics, Statistics, Computer Science, Engineering, or related discipline
  • 3–7 years of professional experience
  • 1–2 years' experience in AI/ML analyst roles
  • Advanced proficiency in Python, SQL, and PySpark
  • Understanding of big data technologies
  • Extensive knowledge of ML frameworks, libraries, data structures, and software architecture
  • Solid understanding of predictive analysis, machine learning, and data mining
  • Strong analytical, problem-solving, and teamwork skills
  • Excellent oral and written communication skills
  • Fluent in English

Nice to Have:

  • Certification in machine learning, data engineering, or data science
  • Experience working in medium-sized organizations

How to Apply: https://ehle.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/7462/?lastSelectedFacet=LOCATIONS&selectedLocationsFacet=300000000275132

📋 How to apply

Follow the application instructions in the How to Apply section of the role description above (email, phone, or link as posted by the employer).