Data Scientist

AES Corporation Indianapolis , IN 46218

Posted Yesterday

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.

We are looking for data scientists to join our growing team of data wranglers that will help us uncover insights and drive key business decisions by leveraging data analytics and artificial intelligence. The data scientists will use data to find patterns, create algorithms, and generally help AES' business leaders make smarter decisions to deliver better products and solutions. The analytics will also serve as the foundation for machine learning use cases across several business applications.

The primary use cases will be in applying data mining techniques, performing statistical analysis to improve asset reliability across our green generation portfolio, make our energy grids more resilient and able to cope with tomorrows renewables demands, and drive operational efficiencies for our commercial teams.

Help us accelerate our greener energy future using data and application of analytics!

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques

  • Data mining using state-of-the-art methods

  • Visualizing data to provide predictive insights and drive decision making

  • Extending company's data with third party sources of information when needed

  • Enhancing data collection procedures to include information that is relevant for building analytic systems

  • Processing, cleansing, and verifying the integrity of data used for analysis

  • Performing ad-hoc analyses and presenting results and business outcomes in a clear and compelling manner

  • Creating automated anomaly detection systems and constant tracking of its performance

  • Be an evangelist for the use and data and data driven decision making at all levels of the organization

Skills and Qualifications

  • Bachelors in Engineering, Mathematics, Physics applicable real-world experience required, Masters or Phd. preferred.

  • 3+ years' experience in data analytics or data science or applicable research

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

  • Experience in the production of energy, commercial energy markets or energy industry preferred

  • Experience with common data science toolkits, such as R, Python, SAS, NumPy, MatLab, etc. Deep experience in Python or R is highly desirable

  • Experience using cloud platforms (Azure ML, GCP ML, AWS SageMaker) and deploying analytics in a production environment (Microsoft Preferred)

  • Demonstrates natural curiosity, an ability and willingness to challenge assumptions and gain a deeper understanding of the problem leveraging contextual inquiry

  • Takes ownership, promotes perspectives and insights in a way that gives others comfort about how they were derived and what the next natural questions might be

  • Excellent communication and collaboration skills to ensure analytics projects are meeting the needs of the business users

  • Proficiency in using query languages such as SQL, Hive, Pig

  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

  • Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc.

  • Demonstrated ability to develop and deploy scripts and programming skills

AES is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identification, disability or protected veteran status. 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.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Scientist

Praxair, Inc.

Posted 1 week ago

VIEW JOBS 10/4/2019 12:00:00 AM 2020-01-02T00:00 Praxair Surface Technologies, Inc. (PST), a subsidiary of Linde, Inc, a global industrial gas company, offers a comprehensive array of high-performance coatings and technologies to the aviation, energy and other industries. By continuously advancing coatings technologies, PST helps customers improve environmental performance, decrease energy consumption, extend component life, improve productivity, minimize downtime, reduce operating costs and produce high-quality products. Additional information about PST is available at www.praxairsurfacetechnologies.com POSITION QUALIFICATION SUMMARY: The Data Scientist will be a member of the Linde Digital Advanced Analytics team, part of the larger Linde Digital organization. They will be completely dedicated to the Praxair Surface Technology (PST) business. In this role, they will apply analytics, data science and operations research techniques to solve challenging problems across operations, supply chain management and business. Project opportunities will include but are not limited to visualization, robotic process automation, statistical analysis, data modeling, predictive modeling, and optimization. The candidate will be asked to combine an understanding of business problems with data driven decision making to significantly impact PST's operating profit. The candidate will be involved in the development of analytics applications from proposal through commercialization and be expected to work closely with the operations, business and IT teams. As a result, he/she will need to develop credible business cases for new applications and lead the product development. He/She will also be expected to continuously improve their skills to take advantage of analytics best practices. KEY ACCOUNTABILITIES: * Involved in technology development from concept initiation through commercialization and work closely with the business organizations * Actively participate in the technical development and lead project execution involving multi-disciplinary teams * Support new data science development while maintaining and improving existing applications (Salary and Job Level Commensurate with Experience) Basic * BS in Industrial Engineering, Mechanical Engineering, Computer Science, Statistics or Operations Research with a specialization in data science or related area * 3 years of relevant industry experience particularly in manufacturing environments * Demonstrated leadership skills * Ability to collaborate with internal business partners to find new ideas, understand requirements and develop appropriate technical solutions * Exceptional presentation skills with the ability to succinctly convey complex solutions to business stakeholders and executive leadership * Availability to travel up to 30% (domestic and international) Preferred * MS or higher in Industrial Engineering, Mechanical Engineering, Computer Science, Statistics or Operations Research with a specialization in data science or related area * Ability to develop, implement and support data science pipelines in Python or other programming languages * Experience designing and leveraging relational databases * Experience with visualization software, preferably Tableau * Experience with developing and deploying robotic process automation (RPA) solutions * Hands-on experience and theoretical understanding of machine learning techniques PST is a supplier which abides by the International Traffic in Arms Regulations (ITAR). As such, persons considered for this position must be either a U.S. Citizen, Permanent Resident (green card holder) or otherwise classifiable as a U.S. person under relevant ITAR regulations. Praxair, Inc. Indianapolis IN

Data Scientist

AES Corporation