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Data Scientist 2
2 months ago
Company: SouthStar Energy LLC (A Southern Company)
Work Location: Hybrid (based in Atlanta, Georgia)
Expected Duration of Assignment: 1 year contract, reviewed annually
Estimated Start Date: September 24, 2024
Job Description
Job Summary:
We are seeking a talented Data Scientist to support AI exploration and implementation to enhance our business operations. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools. As part of our leading-edge advanced analytics team, you will help drive analytics across the organization to improve customer experience and optimize operations. This is an individual contributor role, providing autonomy in technical and analytical choices, including determining the appropriate modeling techniques and making design decisions.
Key Responsibilities:
- Identify and evaluate potential AI use cases to enhance business operations.
- Lead the development and implementation of AI solutions for identified use cases.
- Utilize machine learning algorithms and AI tools to build and deploy models.
- Collaborate with cross-functional teams to integrate AI solutions into business processes.
- Partners with IT to effectively migrate analytical models from prototype to production.
- Conduct data analysis to uncover insights and support decision-making.
- Ensure data quality and integrity throughout the AI solution development process.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest advancements in AI and machine learning technologies.
- Self-starter and a multi-tasker who can work independently under tight timelines.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience in data science, machine learning, and AI.
- Strong programming skills in languages such as Python, R, or similar. Python is highly preferred.
- Experience with machine learning frameworks and tools (e.g., Azure, Databricks, Google Cloud).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Excellent analytical and problem-solving skills.
- Ability to work independently and make autonomous technical and analytical decisions.
- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
- Be part of a cutting-edge advanced analytics team.
- Opportunity to lead AI initiatives and make a significant impact on business operations.
- Collaborative and innovative work environment.
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