SparkCognition catalyzes sustainable growth for their clients throughout the world with proven artificial intelligence (AI) systems, award-winning machine learning technology, and a multinational team of AI thought leaders. 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 leading-edge artificial intelligence products, SparkCognition's clients can adapt to a rapidly changing digital landscape and accelerate their business strategies.
SparkCognition's Ensemble platform is world's first AI enabled SaaS platform provides prescriptive analytics to power plant operators by combining the power of machine learning, big data, and deep domain expertise.
If you were already working for us, you would be:

• Partnering with project teams in developing and applying ML expertise in developing and delivering customer solutions
• Independently and effectively engaging with external technical stakeholders and subject matter experts to understand and solve critical business problems through the application of cutting-edge artificial intelligence
• Designing and deploying machine learning models for commercial and industrial applications, such as anomaly detection, prescriptive maintenance, among others
• Leading all phases of the data science process from data exploration and processing, feature selection and engineering, model training and testing, and information synthesis

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

• A strong understanding of Data Science, including basic elements of machine learning, statistics, probability, and modeling.
• Experience with Data Science programming languages, such as Python, R, Matlab
• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and experience in at least one
• Applied knowledge of ML techniques/algorithms including: linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection
• 2+ years of experience in building machine learning models
• Experience and knowledge of renewable energy technologies especially applying data analytics techniques in the domain
• Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders
• Ability to form strong working relationships with team members, cross departmentally, customers' technical teams, and executive leadership
• Degree in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related scientific discipline

It would be great if you had:

• Graduate or Doctorate degree (or 5-8 years of equivalent experience) in one of the fields above
• A strong work ethic, along with the ability to prioritize and complete all job responsibilities in a timely manner
• Ability to be responsive with a willingness to take ownership of issues and drive solutions
• Excellent time management and organizational skills

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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