Senior Data Scientist

SparkCognition • Fulltime • Austin, TX, USA, United States • 3m ago

Who are we and why this opportunity?

SparkCognition, Inc. delivers world-class AI solutions that allow a business to solve their most critical problems, empowering them to run a more sustainable, safer, and profitable business. Our award-winning AI solutions predict future outcomes, optimize processes, and prevent cyberattacks. We partner with the world’s industry leaders to analyze, optimize, and learn from data. We augment human intelligence, drive profitable growth, and achieve operational excellence.

Drive change and create a footprint. Learn more at: SparkCognition

The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements. As a Senior Data Scientist, Energy you’ll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions. They have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers.

You will:

Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence
Conduct research and design technical solutions that improve models for commercial and industrial applications, such as anomaly detection, simulation, optimization, forecasting, etc
Conduct research on core challenges facing applications of artificial intelligence, such as transparency, explainability, transferability and continuous learning
Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities
Contribute to AI product development and key data science research areas, internally and externally
Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals
Evaluate and respond to RFPs related to artificial intelligence
Conduct research and write patent applications and technical publications
Serve as a people manager to other data scientists, as needed

You’ll Have:

Experience with research-level innovation in Data Science and ML, preferably with an advanced degree.
3-5 years of experience in the energy industry, with extensive knowledge of AI-based modeling, simulation and optimization
Strong understanding of Data Science, including machine learning, statistics, probability, and modeling.
Significant experience with Data Science programming languages, such as Python, R, Matlab
Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras.
Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection
Significant experience managing large volumes of data (terabytes or more)
Experience with leading project teams, specifically data science teams
Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders.

SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.

SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

SparkCognition is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.