Data Scientist - AI/ML (Atlanta, GA)

Responsibilities

• Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• Collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
• Work cross-functionally with finance, operations, and field engineering teams on opportunities for improved insights.
• Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models.
• Explore large datasets using modeling, analysis, and visualization techniques.
• Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
• Able to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.

Requirements

• Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
• 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems.
• Experience leading data science projects.
• Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
• Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems.
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.

Qualifications

Oil or Gas Industry experience is highly preferred for this role.

Skills

Passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads.

Benefits

Remote position.

Pay

N/A

Schedule

TBD