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Data Science Engineer
Full Time | Energy 8 Months Ago
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Encino Energy LLC is Hiring a Data Science Engineer Near Houston, TX

Description

Position Overview

This position will be based out of Houston and will report to the Data & Analytics Director. The Data Science Engineer will be responsible for providing technical support including designing, implementing, and optimizing algorithms for unsupervised and supervised learning on unstructured and structured data.

Responsibilities

  • Collaborate with other data scientists and cross-functional teams to identify innovation opportunities and possible solutions
  • Work closely with key stakeholders to understand their needs to develop new or improve existing workflows
  • Develop business insights from disparate data sources using advanced Machine Learning techniques to solve high impact business problems across the organization in the Oil & Gas sector
  • Provide advanced expertise on statistical and mathematical concepts
  • Solve problems and develop solutions that call for original approach based on thorough and comprehensive knowledge and expertise
  • Be instrumental in helping the business continue its evolution into an analytical and data-driven culture
  • Mentor less experienced team members and provide guidance, as required
  • Review and refine existing data models to continuously deliver state-of-the-art insights in existing products
  • Plan, lead, and execute the complete analytics life-cycle for problem solving, including requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productization
  • Accelerate research-to-production cycle by developing new and novel experimental frameworks and metrics
  • Maintain academic and industry relationships for the purposes of research; maintain expertise and awareness of cutting edge techniques, technologies, and potential business solutions

Requirements

Qualifications

  • Expert in Data Science and its application with the ability to recognize the limitations of approaches or dead-ends early on
  • Advanced programming skills in Python and R using Machine Learning libraries like sckit-learn, MLLib, TensorFlow etc.
  • Proficiency with relational databases (SQL scripting) and experience with NoSQL databases (e.g., MongoDB)
  • Expertise with leveraging visualization BI tools, such as Spotfire / Tableau / Power BI, to build out dynamic dashboards
  • Ability to professionally execute projects as a technical lead with little or no direction
  • Must be able to work in a highly interactive, cross functional, team-oriented, agile / fast paced environment
  • Demonstrated mentorship skills
  • Ability to serve as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation, and model implementation
  • Evidence of delivering innovative solutions having challenged conventional thinking and demonstrated how Data Science can inform and support decision making
  • Ability to translate high level requests, questions, concerns, or ideas into successful data science implementations
  • Strong written and verbal communication skills, comfortable in engaging conversation with all levels
  • Taking initiatives and driving them to conclusions
  • Attention to detail and passion for quality with result-oriented approach
  • Exceptional analytical and quantitative problem-solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations
  • Ability to plan and manage own work in collaboration with the team to meet assigned deliverables in a timely manner
  • Can work independently, with guidance in only the most complex situations

Education

  • PhD or Master’s Degree in Computer Science, Statistiscs, Computational Mathematics, or related STEM field
  • 5 years relevant work experience as a Data Scientist or Engineer, demonstrating advanced programming skills
  • Working knowledge of the oil and gas industry and terminology

Relocation

This position is not eligible for domestic relocation.

Work Environment

This job is predominately located in a professional office environment with occasional travel to the field operations. 

Work Schedule

Encino has a compressed work week with a “4/9/4” Work Schedule. Employees have the option to work four nine-hour days with the addition of four hours each Friday. Some flexibility in hours is allowed. The selected candidate is expected to work in the office three days a week (Monday – Thursday) with the option to work remote two days a week.

The Company

Encino Energy is an independent oil and natural gas exploration and production company based in Houston. The company is committed to accumulating high potential assets in multiple U.S. basins and to enhancing returns with active discipline and technologically-driven development programs.

Encino Energy is an equal opportunity employer committed to diversity in recruiting, hiring, developing, compensating, and promoting applicants and its employees. All employment decisions are made without regard to sex, race, color, religion, national origin or ancestry, citizenship, age, disability, marital or veteran status, sexual orientation, gender identity or expression, or any other legally protected categories. This includes providing reasonable accommodation for employee’s and applicant’s disabilities or religious beliefs and practices.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Energy

POST DATE

07/14/2022

EXPIRATION DATE

12/08/2022

WEBSITE

encinoenergy.com

HEADQUARTERS

HOUSTON, TX

SIZE

25 - 50

FOUNDED

2011

CEO

RICHARD HALPRIN

REVENUE

$50M - $200M

INDUSTRY

Energy

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About Encino Energy LLC

Encino Energy is a Houston, Texas based oil and gas acquisition and development company formed in 2011. We acquire operated and non-operated working interests and minerals in multiple onshore US basins. In June 2017, Encino Energy and Canada Pension Plan Investment Board (CPPIB) formed Encino Acquisition Partners (EAP) with over a $1 billion commitment to acquire large, high-quality assets with an established base of production in mature basins across the lower 48 states of the US.

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