Lead, Data Science

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Position Summary

The AES US Utilities & Conventional Generation is looking for a Lead Data Scientist to join our growing team of data wranglers that will help us uncover insights and drive key business decisions by using data analytics and artificial intelligence. The Lead Data Scientists will guide the Data Science Team to use data to find patterns, build algorithms, and generally help AES' business leaders make more inquisitive 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 US Utilities and conventional generation teams.

Primary Roles & Responsibilities

The main tasks/responsibilities will include:

• Selecting features, building, and optimizing classifiers using machine learning techniques.
• Data mining using pioneering 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.

Position Requirements

• Bachelor's in engineering, mathematics, physics applicable real-world experience in similar positions required, Masters or PhD preferred.
• 10+ 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 maximising 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.
• Ability to develop and deploy scripts and programming skills.
• Data-oriented personality.

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.