Data Scientist

Are you ready to be part of a company that’s not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that’s leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you’re joining a company that values its people just as much as its groundbreaking ideas.

AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement’s goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.

If you’re ready to be part of a company that’s not just adapting to change, but driving it, AES is the place for you. We’re not just building a cleaner, more sustainable future – we’re powering it. Apply now and energize your career with a true leader in the global energy transformation.

At AES we have an amazing opportunity to transform the world with renewable energy. By using the vast amounts of information available, we are designing Smart Maintenance, Smart Operations, Smart Grid and other Energy related solutions to improve our operations and be a leader in renewable energy .

Data Scientists are a part of AES’s digital transformation and work with Data and Business leaders to develop strategies for leveraging data to solve business problems. As staunch advocates for the business, data scientists are familiar with the day-to-day business challenges in the energy business and are constantly looking for ways to leverage data to improve decision making and processes while managing those data projects to ensure on-time delivery and meet expectations.

Qualified candidates will have knowledge of AI/ML techniques, feature engineer approaches, statistics and complex analysis. A primary responsibility of the job will be to develop AI/ML models supporting demand response, energy efficiency, competitive behaviors, renewable energy, and distributed energy resources, as well as on energy pricing. The position will also involve supporting new business development working strongly with existing global businesses.

If hired, you will be matched to a team based on business demand, location and fit. Join the forward-thinking teams at AES solving some of the world’s renewable energy problems – there is no better place to grow your career!

As a Data Scientist Supporting AES, You Will

• Gain an understanding of AES’s energy business, company culture, technology stack and analytics capabilities.
• Work independently and collaboratively with peers and project managers with supervision to manage research projects to deliver high-value solutions to clients and participate in research efforts, ensuring consistency, quality, and reproducibility of research methods.
• Collaborate with other team members to build upon results to create deeper insights.
• Monitor workflow of data projects by assigning and aligning resources and ensure completion dates are being met.
• Support algorithm development and deploy solutions based on real-world data; implement and validate predictive models; create and maintain statistical models.
• Communicate with internal and external clients to understand business needs and provide analytical solutions.
• Use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc. to analyze data and provide insights.
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Data analytics including identifying, retrieving, manipulating, relating and exploiting multiple structured and unstructured data sets from various sources including building or generating new data sets.
• Identify, retrieve, manipulate, relate and exploit multiple structured and unstructured data sets from various sources including building or generating new data sets as appropriate.
• Create and present materials on data projects, data science architecture and analytics strategies.
• Work closely with software developers and customers to design and develop analytic services and data driven solutions.

The Work You May Do

• Manage projects in an Agile method and meet business deadlines
• Support strategic decision-making through analysis, with a focus on financial outcomes, business partnering to distill key financial insights into usable data for cross-functional teams, and collaborating with cross-functional leaders on strategic project execution.
• Review completed data requests for quality before final artifacts are delivered to customers.
• Present, leading workshops and explain complex ideas to the business.
• Set annual roadmaps and secure alignment from leadership and peers for resource allocation and execution.
• Lead and mentor commodity traders by providing leadership and analytical support while also keeping senior management informed on key business metrics
• Manage multiple, competing priorities simultaneously while maintaining High attention to detail
• Make trade off decisions to change prioritization or the scope of projects as needed.
• Lead organizational change and help team members gain new skills.

Who You Are

• Teachable, friendly, flexible, confident, kind and reliable.
• Able to work with little supervision and meet deadlines on a consistent basis.
• You have a knack for analytics and solving problems using data.
• Capable of dealing with the ambiguity and the flexibility to change direction as additional information becomes available.
• Find Energy Markets and Commodity trading exciting
• Currently enrolled in in Business Analytics, Mathematics, Economics, Physics

Professional And Technical Expertise

• Master’s degree in quantitative analysis, engineering, engineering, statistics or a closely related field; a PhD degree is .
• 3+ years of professional experience in Data Science
• Familiarity with AI/ML concepts and statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights.
• Experience collaborating, managing & developing AI/ML projects in Google Cloud Platform
• Strong communication and data visualization skills to adequately explain complex subject matter to a wide range of associates.

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through and . Respecting all backgrounds, and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to , , , and/or expression, , , , , , marital status, physical or mental , , childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 to confirm work authorization.