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Job Id : 362

Jobtitle : Jr. Data Scientist

Location : Denver, CO

Company Name : Well Data Labs

Industry : Information Technology

Salary : $50,000 - $100,000  PER YEAR

Job type : Fulltime

Posted on: 2019-06-27


Required Skills : Statistical Programming And Structured Data Development

Benefits : No benefits are available


Responsibilities & Opportunities of the Role: Work closely with the Product and Engineering teams on designing and implementing machine learning models that address key customer and market needs and that are integrated with key product features Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Process, clean, and verify the integrity of data used for analysis Propose solutions and strategies to business challenges Create maintainable projects with documentation Do ad-hoc analysis and present results in a clear manner Learn the intricacies of the completions data life-cycle (Don’t worry, we have engineers, scientists and product experts that will teach you everything you need to know!) Minimum Qualifications to Apply: Graduate student working toward a degree in Petroleum Engineering, Computer Science or Mathematics/Statistics. Recent graduates will be considered. Strong conceptual knowledge and background in probability, applied statistics, data mining, and machine learning Experience with statistical programming and structured data development Well-versed knowledge of Python, R - Familiarity with SQL, Keras, Tensorflow, Spotfire,  AWS, Linux, Hadoop, Scala, Java or C++ is a plus Understanding of modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems, optimization, deep learning, and natural language processing. Knowledge of time-series signal processing is a plus Excellent written, communication and presentation skills Why we really like working here: Family-friendly company with leadership that encourages a life outside of work (we don’t work late nights or weekends) Opportunity for real-world experience and career growth beyond the Internship Awesome office in LoDo.

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