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Data Scientist at McDermott International Inc. (Houston, TX)

Job Overview:

Collaborate with Project Analytics team and functional departments to understand company needs and devise possible solutions.

Key Responsibilities/Accountabilities:

    • Research and develop statistical learning models for data analysis.
    • Collaborate with Project Analytics team and functional departments to understand company needs and devise possible solutions.
    • Keep up-to-date with latest technology trends.
    • Communicate results and ideas to Project Analytics leadership.
    • Identify and develop new statistical or other mathematical methodologies as needed for specific models or analysis.
    • Lead joint development efforts through appropriate database use and project design.
    • Conduct undirected research and frame open-ended industry questions.
    • Extract huge volumes of data from multiple internal and external sources.
    • Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.
    • Thoroughly clean and prune data to discard irrelevant information.
    • Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities.
    • Devise data-driven solutions to the most pressing challenges.
    • Invent new algorithms to solve problems and build new tools to automate work.
    • Communicate predictions and findings to management and IT departments through effective data visualizations and reports.
    • Recommend cost-effective changes to existing procedures and strategies.

 Basic Qualifications:          

    • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.
    • 5+ years of practical experience with ETL, data processing, database programming and data analytics.
    • 3+ years of experience within EPC or Construction industry
    • Experience creating visual analytics and publishing using Tableau software
    • Advanced data mining and statistical analysis skills.
    • Able to architect and develop various data structures and common methods in data transformation.
    • Expertise in ability to recognize patterns and develop predictive modeling.
    • Ability to demonstrate responsibility and dependability when completing assignments.
    • Autonomous yet able to work as a part of a team.
    • Strong critical thinking, problem solving, accuracy and attentiveness to detail required.
    • Excellent organizational and time management skills.
    • Excellent oral and written communication skills.
    • Experience with programming languages such as Java/Python an asset.