Data Scientist - Indianapolis, United States - The AES Corporation

Description

At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every day in our small, global teams. Apply here to start an extraordinary career today.

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 Energy-related solutions to improve our operations and be a leader in renewable energy generation.

Data Scientists are a part of AES's digital transformation and work with Data and Business leaders to develop strategies for using 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 know 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:

Work both independently and collaboratively with peers and project managers to manage research projects and deliver high-value solutions to clients.

Collaborate with team members to build upon results and create deeper insights.
Monitor the workflow of data projects, assign resources, and ensure completion dates are 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 to analyze data and provide insights.

Work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators to bring analytical rigor and statistical methods to the challenges of predicting behaviors.

Perform 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.

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

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 curiosity about analytics and solving problems using data.
Capable of dealing with ambiguity and the flexibility to change direction as additional information becomes available.
Find Energy Markets and Commodity trading exciting
Currently enrolled 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.
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 diversity and inclusion.

Respecting all backgrounds, differences 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 sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, 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.

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