Overview

At the Gradient Boost, we intelligently match companies to curated data science, analytics, software and data engineering talent from across Africa – Our client is recruiting to fill the position below:

Job Title: Data Scientist

Location: Remote

Job Description

  • The candidate will analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research. Your goal will be to help our company analyze trends to make better decisions.

Job Responsibilities

  • Identify valuable data sources and automate collection processes
  • Undertake to preprocess of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modelling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams

 Job Requirements

  • Proven experience as a Data Scientist or Data Analyst
  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Knowledge of SQL and Python; familiarity with Snowflake and/or DBT is an asset
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • BSc / BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Salary
USD70,000 – USD80,000 annually.

Application Closing Date
6th July, 2021.

Method of Application
Interested and qualified candidates should:
Click here to apply online

Tagged as: Graduate, Information Technology