The ONEOK Data Science team creates intelligent cloud-native solutions that drive value-added decision-making processes. As part of the team, you will implement these solutions, primarily using a combination of mathematical optimization, machine learning, and artificial intelligence.
Requirements
- Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Proficient in cloud platforms (e.g., AWS, Databricks, Azure) with experience deploying and managing data solutions in cloud environments.
- Strong analytical and problem-solving abilities with a proven track record of developing complex models and algorithms.
Responsibilities
- Perform detailed data analysis to identify trends, correlations and patterns.
- Develop and implement machine learning models to solve business problems.
- Develop and implement cloud-based infrastructure to host and run data science models.
- Create dashboards and visualizations to present data insights.
- Collaborate with engineers, product managers and business stakeholders to understand requirements and deliver solutions.
- Stay current with industry trends, emerging technologies, and best practices in data science and analytics.
- Document methodologies, processes, and project outcomes to ensure transparency and knowledge sharing. Ensure all documentation is accurate, comprehensive, and up-to-date.
Other
- Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Demonstrated ability to lead, mentor, and manage a team of data professionals. Strong project management skills are essential.
- Ability to develop and execute data science strategies that align with business objectives.
- Strong interpersonal skills and the ability to work effectively with cross-functional teams and senior management.
- A proactive approach to identifying new opportunities and improving existing processes through data science.
