IPMC is one of Nigeria oilfield service companies providing innovative solutions, technology, and services to the oil and gas industry. The Company operates in Nigeria and has a network of, manufacturing, service, research and development, and training facilities.
It delivers innovative technologies and services designed to meet the world's current and future energy needs in a safe, ethical, and sustainable manner. Grounded by our core values and inspired by our world-class people, we are committed to being a trusted business partner to those we serve.
Data Scientist:
Job Description
We are looking for a Data Scientist to 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.
Responsibilities
Undertake preprocessing 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 modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with domain experts and product development teams
Identify valuable data sources and automate collection processes
Requirements:
Bachelors or Masters in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Knowledge of Python, SQL, familiarity with Scala, Java or C++. Knowledge of Mechanical Engineering or Petroleum Engineering is an asset
> 2 years of experience as a Data Scientist or Data Analyst
In-depth understanding of machine-learning algorithms and operations research
Experience using business intelligence tools (e.g. PowerBI, Spotfire) and data frameworks (e.g. Hadoop)