Data Scientist

at  Chevron

Total Number of Openings
1
Who We Are
Chevron Nigeria Limited (“CNL”) is a leading integrated energy company. CNL operates under a joint venture arrangement with the Nigerian National Petroleum Company Limited. CNL and its affiliates in Nigeria have assets on land and in near offshore regions of the Niger Delta, and interests in non-oper
ated fields as well as extensive interests in deep water operations in Nigeria.
CNL upholds integrity, trust, diversity, and ingenuity as a company and among its employees. We strive to provide equal opportunities to all qualified individuals in our recruitment process in accordance with applicable laws and regulations.
CNL subscribes to the principles outlined in the Chevron Way values which express our vision “to be the regional energy company most admired for its people, partnership and performance.”
Are you a qualified professional desiring to make a difference? Do you share our values and are ready to contribute to a dynamic and innovative team? We invite interested and qualified Nigerians to apply and become part of a highly valued CNL team.
Your journey towards a rewarding career starts here!
Job Description Summary
This position is part of the Data Science & Analytics Chapter, responsible for providing Data Science and Machine Learning Engineering expertise and solution delivery across the organization.
The function of this role is to partner with the business to identify opportunities to apply data science approaches and create data science products that deliver business value. The successful candidate that fills this position will have the skills to identify, prototype, and build data science products.
We seek an ambitious and skilled Data Scientist to join the team, playing a crucial role in product lines, helping to drive value for stakeholders. This role is part of the Information and Analytics job family. You will be working with business unit stakeholders to prototype and deliver innovative data science applications that add value to the company’s businesses across the value chain.

Key Responsibilities

• Identifying and framing opportunities to apply advanced analytics, modelling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
• Identifying, acquiring, cleansing/preparing, storing data, and developing reusable data related products aligned with defined architecture patterns.
• Developing, testing, and establishing the life cycle management process for models.
• Providing technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
• Understanding the business use of data and the stakeholders’ requirements to support work processes and strategic business objectives by leveraging data and software engineering techniques, data science to create business value through data accessibility (which includes data ingestion, data preparation and analytics processing).
• Enabling other stakeholders by making data available for advanced analytics models, and contributing to advanced analytics models, working with data analysts and architects to scale and deploy solutions including models, documentation, training and integration.

• Contributing to the inner source development of foundational tools, and/or the deployment of technical services including the modelling process, and general consulting skills.

  What You Will Bring

Experience

• 5 - 15 years post-qualification experience as a Data Scientist or in a similar role.
• Strong proficiency in programming languages such as Python.
• Experience in model development using machine learning algorithms and libraries (e.g.: supervised and unsupervised learning, deep learning, time series, ensemble methods, etc)
• Knowledge and/or experience with data acquisition, preparation, and validation; data movement and transformation; data modelling and software engineering using technologies such as: Azure Data Factory, Azure Data Bricks, Synapse and SQL expertise, Python and Ansible experience.
• Excellent data cleaning and data visualization skills, proficiency in descriptive and inferential statistics.

Qualifications

• Bachelor’s degree in in statistics, computer science, mathematics, or a related field (minimum of second class, upper division) or Master’s degree in statistics, computer science, mathematics, or a related field.

Additional Considerations

• Ability to build capabilities in new technical areas by leveraging training, documentation, and other team members. Ability to build organizational capabilities in others as needed to raise team performance.
• Ability to foster synergetic cross-functional relationships and collaboration with all stakeholders. Able to influence diverse stakeholders.
• Strong analytical skills - has a good understanding of how data and analysis can be utilized to gain a deeper understanding of a business issue.

What We Offer

• A competitive compensation package including medical benefits, health and wellness support.
• Hybrid work options include flexible work hours and generous leave policies.
• A strong, diverse, and global workforce and work practices.
• An innovative and inclusive workplace.
• Professional and personal development opportunities.

More Information
Join the CNL team in our online Career event curated for today’s talent pool. This is an optional and interactive platform where we share insights to better position applicants for the job market and provide relevant resources and information to enhance job applications.
Register using this link:
https://go.chevron.com/Chevron_CareerProEvent
Chevron participates in E-Verify in certain locations as required by law

• Identifying and framing opportunities to apply advanced analytics, modelling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
• Identifying, acquiring, cleansing/preparing, storing data, and developing reusable data related products aligned with defined architecture patterns.
• Developing, testing, and establishing the life cycle management process for models.
• Providing technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
• Understanding the business use of data and the stakeholders’ requirements to support work processes and strategic business objectives by leveraging data and software engineering techniques, data science to create business value through data accessibility (which includes data ingestion, data preparation and analytics processing).
• Enabling other stakeholders by making data available for advanced analytics models, and contributing to advanced analytics models, working with data analysts and architects to scale and deploy solutions including models, documentation, training and integration.
• Contributing to the inner source development of foundational tools, and/or the deployment of technical services including the modelling process, and general consulting skills