SparkCognition catalyzes sustainable growth for our clients throughout the world with proven artificial intelligence (AI) systems, award-winning machine learning technology, and a multinational team of AI thought leaders. Our clients are trusted with advancing lives, infrastructure, sustainability, and financial systems across the globe. They partner with SparkCognition to understand their industry's most pressing challenges, analyze complex data, empower decision-making, and transform human and industrial productivity with scalable AI solutions to solve the problems that matter most. With our leading-edge artificial intelligence products and solutions, our clients can adapt to a rapidly changing digital landscape, accelerate their business strategies, and reduce environmental impact creating a better, smarter, and more sustainable world.
We are looking for an innovative Data Scientist to join our team to help create the next generation of analytics and artificial intelligence solutions. In this role, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value to our Predictive Analytics product, SparkPredict
If you were already working for us, you would be:

• Leading all phases of a model development process from data processing, feature selection, and engineering, model training and testing, and synthesizing information in reports
• Designing and conducting quantitative experiments to characterize algorithms
• Using and building automated tools that enable the data scientist to more effectively perform tasks such as data exploration/visualization, data cleaning, feature generation, feature selection, model building, and model validation
• Contributing to product development and deployment as well as key research areas

You may be a great fit for our team if you have:

• A graduate degree or above (or equivalent industry experience), in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related scientific discipline
• A strong understanding and experience using machine learning techniques and algorithms, including but not limited to Linear Models, Neural Networks, Decision Trees, Bayesian Techniques, Clustering, and Anomaly Detection
• Proficiency with Unix shell commands
• Experience with data science programming using Python
• Experience with machine learning frameworks, such as sci-kit-learn, PyTorch, TensorFlow, and Keras
• Strong interpersonal skills
• The ability to partner with and guide other data scientists in developing and applying ML expertise in developing and delivering novel solutions
• Proficiency in sound software development practices and processes
• Independent thinking skills and the desire to learn new techniques/technologies
• Strong written and verbal communication skills with the ability to translate complex technical topics to internal and external stakeholders

It would be great if you had:

• Experience developing algorithms in a distributed environment (e.g. Dask, Ray, etc.)
• Experience managing large volumes of data (terabytes or more)
• Experience with Big Data Analytics, and Graphing techniques
• Prior work experience in one or more of the following industries: Aerospace, Automotive, Consumer Packaged Goods, Manufacturing, Supply Chain, Oil & Gas, Utilities

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
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