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Data Scientist at Ascentech Services Limited

Ascentech Services LimitedLagos, Nigeria Data and Artificial Intelligence
Full Time
Ascentech Services Ltd acts as a gateway to provide a wide range of recruitment and selection services to companies. We are a dedicated team of professional consultants offering top-of-the-line executive recruitment and selection services. We cater for the needs of a range of professionals seeking employment and work together to create effective solutions using our networks and strong client base.

Job Description

  • Data Analysis: Perform exploratory data analysis to gain insights and identify patterns.
  • Model Development: Design and develop machine learning models to address specific business challenges such as customer segmentation, predictive maintenance, and fraud detection.
  • Model Optimization: Tune and optimize models for performance and scalability.
  • Deep Learning: Build deep learning models using frameworks like MATLAB, TensorFlow, or PyTorch for tasks such as image recognition, natural language processing, and time series analysis.
  • Model Evaluation: Evaluate model performance using appropriate metrics and refine models as necessary.
  • Collaboration: Work closely with cross-functional teams to understand business requirements and deliver data-driven solutions.

Requirements

  • Bachelor’s or Master’s Degree in Computer Science, Data Science, Machine Learning, or a related field.
  • 5+ years of experience as a data scientist or in related roles.
  • Proven experience in developing and deploying machine learning models.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of big data platforms (e.g., Hadoop, Spark).
  • Strong analytical and problem-solving skills.

Preferred Qualifications:

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with SQL and NoSQL databases.
  • Knowledge of statistical analysis and data mining techniques.
  • Strong communication and teamwork skills.

Method of Application

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