Data Scientist usa c2c jobs || Houston, TX || Contract

Data Scientist

Location – Houston, TX – Local (100% Onsite)

Duration: 6+ Months Contract

Look for Candidates with 13+ Years of Experience – Please share only Good Quality Senior Candidates resumes for the same

Make sure the candidate mentions all Required skills in his Resume and a few Bullet points in his Responsibilities.

Job Description –

We are 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.

Must Have:

Data Analysis
Data Visualization
Git
Linux/Unix Shell
Machine Learning
MLOps
Python
Software Engineering
SQL
 

Nice to Haves:

AWS
AWS EC2
AWS S3
AWS Sagemaker
 

Responsibilities:

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
 

Qualifications:

12+ 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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