Data Scientist

The Business Data Scientist will develop and deliver advanced analytics and machine learning models to support business performance, strategic decision-making, and operational optimization across the organization. This role leverages diverse data sources such as ERP, CRM, and macroeconomic data, utilizing Python and Snowflake to generate actionable insights that drive revenue growth and improve bottom-line results. Responsibilities include building predictive models, managing large-scale data processing, and maintaining dashboards and visualizations with Power BI.

The position requires collaboration with cross-functional teams and participation in data governance, along with a strong technical background in modern analytics tools and methods.

Job Description

• Develop and deliver advanced analytics to support business performance, strategic decision-making, and operational optimization across the organization.
• Leverage ERP, CRM, and external macroeconomic data to generate actionable insights for leadership and cross-functional teams.
• Build predictive analytics and segmentation models to support business growth initiatives, increase revenue, and enhance bottom-line performance.
• Design, implement, and deploy machine learning models to solve complex business problems and uncover actionable insights that support business growth and profitability.
• Develop and maintain dashboards and reporting tools to monitor key business metrics and performance indicators.
• Conduct data mining, statistical analysis, and data visualization to identify trends, opportunities, and areas for business process improvement.
• Collaborate with stakeholders across departments to drive adoption of analytics and data-driven changes in business practices.
• Participate in and support Data Governance initiatives to ensure the quality, consistency, and effective use of enterprise data.
• Design and deliver reports and metrics that demonstrate business performance, efficiency, and progress toward organizational goals.
• Assist in developing and implementing systems and process improvements within operational and strategic business areas.
• Document requirements and support change management for process improvements.
• Ensure compliance with company objectives, HSE, and quality standards.

• Master’s degree preferred in Data Science, Mathematics, Computer Science, Economics, Statistics, Business, Industrial Engineering, or a related field.
• 5+ years of experience in data science, analytics, business analysis, or a related discipline, ideally in a manufacturing, industrial, or similarly complex environment.
• Demonstrated expertise in developing analytics that drive revenue growth, cost reduction, and improved bottom-line performance.
• Experience with machine learning methods and frameworks for predictive modeling, classification, clustering, and optimization.
• Experience with ERP and CRM systems, relational databases, and modern analytics tools (e.g., Python, R, SQL, or other scalable packages).
• Strong proficiency with Snowflake as a data platform and Power BI for data visualization and dashboard creation.
• Experience with large, multi-dimensional data sets and business intelligence software.
• Proven success in a collaborative, team-oriented environment.

• Advanced proficiency in data analysis, automation, and visualization using modern analytics tools and programming languages.
• Experience using Snowflake for backend data processing, integration, and analytics.
• Expertise with business intelligence and reporting platforms, particularly Power BI.
• Experience working with large-scale, distributed data systems and cloud-based data infrastructure.
• Ability to manage multiple priorities and communicate effectively with stakeholders across business units.
• Experience with process innovation, change management, and continuous improvement.
• High degree of business acumen, situational awareness, and the ability to influence and drive cross-functional initiatives.

Mid-Senior level

Full-time

Information Technology

Oil and Gas