Oceaneering Data Scientist in Houston, Texas
Oceaneering's Maritime Intelligence and Technology Team is on a mission to drive change in the maritime industry. By combining innovative technologies with skilled expertise we will offer solutions that increase transparency, reduce conflicts of interest and provide significant savings in time and money. Our mission's success depends on us building a team of diversified, highly skilled individuals with passion, commitment, determination and a will to succeed. Join our team now!
Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries.
The Data Scientist will support the Maritime Optimization leads to identify, develop or acquire advanced analytic technologies and apply methods (modeling, optimization, automation, artificial intelligence) to a wide range of maritime logistical challenges. Responsible for developing solutions for our SaaS platforms that deliver value and therefore drive more demand for such solutions. This role will focus on connecting business needs with advanced technology to create implementable solutions that drive business value. Requires business acumen, technical competence, and excellent relationships – delivering on organizational goals while creating technical solutions with recognized value delivery to Oceaneering. This is a key role for helping accelerate the use and value capture of digital technologies at Oceaneering.
Duties & Responsibilities
Analyze client proprietary and public domain datasets leveraging advanced analytics and statistics to work on scheduling and routing, and voyage optimization.
Clean and process a diverse set of data streams.
Identify and understand business needs and contextualize results of the analysis to drive impact for the organization as a whole.
Dynamically collaborate with operations and product teams to refine project goals, scope, and timelines.
Provide consulting services on both internal and external analytic questions.
Masters in Computer Science/Engineering, Data Science, Statistics or Mathematics, or equivalent education and experience.
Minimum 8 years of related experience.
Strong hands-on skills in large volumes of data sourcing, manipulating and analyzing.
Experience with cloud based services (Azure,AWS,GCP).
Experience with projects involving Data Cleaning, Data Analysis, Pattern Recognition, Machine Learning.
Expertise programming the R, Python, Scala languages.
Experience with SQL and No-SQL databases.
Experience working with unstructured data.
Strong experience in at least 5 of the following (more preferred):
Supervised and Unsupervised Learning
PhD in Computer Science/Engineering, Data Science, Statistics or Mathematics.
Experience with Apache Spark, Kafka, Graph DB.
Equal Opportunity Employer
All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factors.
Job ID: 14142
Location: Houston, Texas
Full/Part Time: Full-Time