Job Description

The position will also involve supporting new business development working strongly with existing global businesses.

As a Data Scientist supporting Customer Experience, 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

Preferred Professional And Technical Expertise

Master’s degree in quantitative analysis, engineering, engineering, statistics or a closely related field; a PhD degree is preferred. 

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