Dice
Data Science Specialist III
Dice, Houston, Texas, United States, 77246
Dice is the leading career destination for tech experts at every stage of their careers. Our client, VC5 Consulting, is seeking the following. Apply via Dice today!
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.
Responsibilities include:
Work independently on data science / ML projects for multiple business functionsIdentify and frame the data science / ML opportunity from understanding the business problem / opportunityGather, cleanse, and transform internal and external dataAnalyze data and deliver insights via visualizations and dashboardsCreate, productionize, and maintain models / solutions that address business problemsPresent, explain and defend results from analysis and modeling, and approach takenParticipate in strategic planning discussions around optimizations, data science and big data analyticsThe successful candidate will meet the following qualifications:
5+ years of practical experience framing and solving business problems in supply chain, logistics, or operations with probability / statistics, visualization, inferential or predictive models5+ years professional experience programming production code in PythonSoftware 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 debuggingHands on experience with MLOpsExperience building solutions in AWS is a plusEducational background in Statistics, Applied Mathematics, or scientific field is a plusAbility to adapt in a rapidly changing environmentAbility to communicate insights and approaches in a simple, actionable mannerAbility to work independently and with team members from different backgroundsExcellent attention to detail and problem-solving skills
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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.
Responsibilities include:
Work independently on data science / ML projects for multiple business functionsIdentify and frame the data science / ML opportunity from understanding the business problem / opportunityGather, cleanse, and transform internal and external dataAnalyze data and deliver insights via visualizations and dashboardsCreate, productionize, and maintain models / solutions that address business problemsPresent, explain and defend results from analysis and modeling, and approach takenParticipate in strategic planning discussions around optimizations, data science and big data analyticsThe successful candidate will meet the following qualifications:
5+ years of practical experience framing and solving business problems in supply chain, logistics, or operations with probability / statistics, visualization, inferential or predictive models5+ years professional experience programming production code in PythonSoftware 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 debuggingHands on experience with MLOpsExperience building solutions in AWS is a plusEducational background in Statistics, Applied Mathematics, or scientific field is a plusAbility to adapt in a rapidly changing environmentAbility to communicate insights and approaches in a simple, actionable mannerAbility to work independently and with team members from different backgroundsExcellent attention to detail and problem-solving skills
#J-18808-Ljbffr