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    Data Scientist - Houston, United States - EPMA

    EPMA
    EPMA Houston, United States

    3 weeks ago

    Default job background
    Utilities / Energy
    Description

    One of our clients in Oil & Gas industry is currently seeking an experienced Data Scientist to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.

    Title: Data Scientist / ML Engineer

    Duration: Long Term Contract (Can be Full Time)

    Location: Houston, TX – Onsite (5 days a week)

    Industry: Oil & Gas

    W2 Employment only

    No Relocation, No C2C, No Sponsorship.

    Responsibilities include:

    Work independently on data science / ML projects for multiple business functions.

    Identify and frame the data science / ML opportunity from understanding the business problem / opportunity.

    Gather, cleanse, and transform internal and external data.

    Analyze data and deliver insights via visualizations and dashboards.

    Create, productionize, and maintain models / solutions that address business problems.

    Present, explain and defend results from analysis and modeling, and approach taken.

    Participate in strategic planning discussions around optimizations, data science and big data analytics.

    Experience Required:

    5+ years of practical experience framing and solving business problems in supply chain, logistics, or operations with probability / statistics, visualization, inferential or predictive models.

    5+ years professional experience programming production code in Python.

    Software engineering skills - best practices of software design, API design, knowledge of design patterns, version control, and production considerations such as performance, logging, maintainability, refactoring, testing and debugging.

    Hands on experience with MLOps.

    Experience building solutions in AWS is a plus.

    Educational background in Statistics, Applied Mathematics, or scientific field is a plus.

    Ability to adapt in a rapidly changing environment.

    Ability to communicate insights and approaches in a simple, actionable manner.

    Ability to work independently and with team members from different backgrounds.

    Excellent attention to detail and problem-solving skills.

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