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Data Scientist - 23274 Jobs

Company

Enverus

Address Greater Houston, United States
Employment type FULL_TIME
Salary
Category Software Development
Expires 2023-10-10
Posted at 7 months ago
Job Description
Data Scientist


Why YOU want this position


Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions that increase profit. Enverus’ innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries.


We are currently seeking a Data Scientist to join our Power & Renewables team. This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world’s most dynamic and fastest-growing sector. 


Key Values To The Enverus Culture


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Collaboration and Teamwork-


You thrive in an environment that supports effective teamwork and collaboration by earning the trust and respect of those around you.


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Job Knowledge-


You have the drive to be the best at what you do. Enverus will support your professional growth as well as encourage you to share your knowledge with your team.


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Quality of Work-


You are passionate about what you do and every detail counts.


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Communication-


You recognize that active listening is just as important as clearly communicating your message. This is key to our collaborative and transparent environment.


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Respect –


You believe respect is the basis of all relationships both inside and outside of Enverus.


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Reliability –


You are someone your team can rely on to finish what you start.


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Integrity


  • You are honest and ethical in all of your relationships and decisions.


Performance Objectives



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Y ou will work with the CRCL Solutions team reporting directly to the VP of Power & Renewables. You will work on Senior Leadership agenda and high priority projects that are critical to the success of Enverus.


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You will take a strategic approach to implement tangible and practical solutions, developing the most complex analytical algorithms to tackle Enverus and its clients’ most difficult and crucial problems. We have a focus to embrace cutting-edge development in computer vision, pattern recognition, and a wide range of machine learning techniques to build patentable algorithms to meaningfully contribute to the digital revolution of energy sector.


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You will enjoy a range of firm-wide social activities. The teams also engage in regular socials around the year fostering a collaborative and intellectual environment for innovation.


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Admission is selective, candidates may be offered a set of optional math and programming challenges to gauge skills and aptitude levels.


Competitive Candidate Profile


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Masters or PhD in mathematics, physics, computer science, engineering, or a similar quantitative field.


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Prior Experience With Python (preferred), R, Or MATLAB.


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Experience in applying ML/AI techniques in an R&D or professional setting.


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Ability to work independently and as a member of a team on assigned projects and tasks with limited supervision.


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Ability to prioritize, raise issues and resolve tough problems in a timely fashion to meet business deadlines.


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Ability to identify and execute R&D initiatives that could improve Enverus' suite of renewable power forecasting products.


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Self-motivated, task-oriented personality with a strong work ethic and desire to learn.


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Portfolio of algorithm designs in any coding language (excel welcomed).


Enverus is proud to be an Equal Employment Opportunity and Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran, or any other characteristic protected by law.


The Company provides equal employment and affirmative action opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability