ShiftCode Analytics
DATA SCIENTIST
6+ MONTHS CONTRACT
HOUSTON, TEXAS
FULLY ONSITE ROLE
NEED LOCAL PROFILES ONLY
VISA- USC/GC ONLY
CLIENT DOMAIN- ENERGY
Requirements:
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 Responsibilities include:
Work independently on data science / Client projects for multiple business functions Identify and frame the data science / Client 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
Requirements:
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 Responsibilities include:
Work independently on data science / Client projects for multiple business functions Identify and frame the data science / Client 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