Data Scientist at Klosters Energy Services Limited

Klosters Energy Services Limited provides asset integrity management services to Nigerian facilities across multiple industries including oil and gas, petrochemical, power, manufacturing etc. through risk-based techniques taking into account the problems of fatigue, fluid flow, corrosion, etc. Our services seek to obtain optimal solutions which strike a balance between cost and safety.

Klosters Energy Services Limited was founded to provide high level technical expert services in areas that provide much needed value within the fast growing and diversifying Nigerian economy with particular reference to the oil and gas industry.

We are recruiting to fill the position below:

Job Title: Data Scientist

Location: Abuja
Employment Type: Full Time

Job Description

• The role of a Data Scientist typically involves collecting and cleaning data from various sources, using statistical techniques to analyze the data, and creating predictive models that can be used to forecast future trends and behaviors.
• Data scientists may also be responsible for developing and implementing algorithms and machine learning models to help automate decision-making processes. 
• The job details of a data scientist involve the following responsibilities:

Responsibilities

• Collecting data from various sources and cleaning and processing it to ensure its quality and suitability for analysis.
• Use tools like Python, R, and SQL to explore and visualize data, identifying patterns and trends that can be used to inform business decisions.
• Build and evaluate predictive models using machine learning algorithms, statistical models, and other techniques to identify patterns and trends in data and make predictions about future outcomes.
• Communicate insights and findings to stakeholders in the organization, including senior management, product managers, and other data analysts.
• Work closely with other teams, such as product development, marketing, and customer service, to help them make data-driven decisions.
• Stay up-to-date with the latest technologies and techniques in the field, continually learning and adapting to new tools and approaches as needed.
• Ensure that their work complies with local, state, and federal regulations related to data privacy and security.

Qualifications

• Degree in any Mathematical field and any other engineering discipline
• Knowledge of Python or R
• Master's Degree will be an added advantage
• Experience will also be an added advantage.

Application Closing Date
30th July, 2023.