Ontologize, Inc.
Capgemini Invent, Data / AI Strategy and Transformation - Senior Consultant
Ontologize, Inc., Chicago, Illinois, United States, 60290
Candidates can be based out of Chicago | Atlanta | New York Metro | HoustonAs a Senior Consultant in the Data Driven Transformation Team of Capgemini Invent, you will help clients in the manufacturing sectors transform and improve their operations by leveraging insights from underlying business, process, and machine data. You will be advising our clients on solution approach, design, implementation, and roll-out of technical solutions. You are a key expert in building innovative technical solutions and can implement those.Responsibilities:You will help run energetic workshops with clients to identify pain-points, desires, as-is situation, solution path, solution design, etc.You will
help define solution approaches , and technical designs and
advise
on solution development, testing, and roll-out.You will build components of technical solutions on your own and in a team with other engineers (e.g. ML Models, anomaly detection algorithms, etc.)You will find and cultivate opportunities for improvement and grow the business within your spaceYou will help promote program/solution/team success internally and at the clientRequirements:Engineering Degree, B.S. (M.S. or MBA with STEM background preferred)Agile knowledge and expertiseIndustrial or Customer Analytics ExperienceOperations, Supply Chain, and Manufacturing exposureKnowledge on
AI / Analytics tools landscape
(Palantir (AIP), C3.AI, Cognite, AWS, Microsoft, SEEQ…)Experience in delivering AI / Analytics use casesFamiliarity with Industry 4.0 concepts such as IoT, Edge, Data Hub, predictive maintenance, Digital thread, control tower, and othersExperience with some of these programming languages such as Python, SQL, JAVA, C++, C, MATLABKnowledge of Data Standards and Manufacturing Standards and CapabilitiesExperience in
process mapping
and ability to
identify system/process weaknesses
and areas for possible issues.Ideally:You have a good understanding of the world of manufacturing and maintenance operations and its processes, concepts, and best practices and have been part of Industry 4.0 type initiatives and/or transformations.You understand the value of data and have experience in processing transactional and time-series data from various sources.You have knowledge and experience in digital signal processing, statistical process control, and machine learning.You know data acquisition, distribution, processing, and visualization technologies used in the manufacturing domain (sensors, IoT, data platforms, dashboarding, and BI tools).You can explain complex subjects simply and clearly to technical experts and business experts alike. You can identify opportunities for improvement, define and cultivate use cases, and create associated business cases.
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help define solution approaches , and technical designs and
advise
on solution development, testing, and roll-out.You will build components of technical solutions on your own and in a team with other engineers (e.g. ML Models, anomaly detection algorithms, etc.)You will find and cultivate opportunities for improvement and grow the business within your spaceYou will help promote program/solution/team success internally and at the clientRequirements:Engineering Degree, B.S. (M.S. or MBA with STEM background preferred)Agile knowledge and expertiseIndustrial or Customer Analytics ExperienceOperations, Supply Chain, and Manufacturing exposureKnowledge on
AI / Analytics tools landscape
(Palantir (AIP), C3.AI, Cognite, AWS, Microsoft, SEEQ…)Experience in delivering AI / Analytics use casesFamiliarity with Industry 4.0 concepts such as IoT, Edge, Data Hub, predictive maintenance, Digital thread, control tower, and othersExperience with some of these programming languages such as Python, SQL, JAVA, C++, C, MATLABKnowledge of Data Standards and Manufacturing Standards and CapabilitiesExperience in
process mapping
and ability to
identify system/process weaknesses
and areas for possible issues.Ideally:You have a good understanding of the world of manufacturing and maintenance operations and its processes, concepts, and best practices and have been part of Industry 4.0 type initiatives and/or transformations.You understand the value of data and have experience in processing transactional and time-series data from various sources.You have knowledge and experience in digital signal processing, statistical process control, and machine learning.You know data acquisition, distribution, processing, and visualization technologies used in the manufacturing domain (sensors, IoT, data platforms, dashboarding, and BI tools).You can explain complex subjects simply and clearly to technical experts and business experts alike. You can identify opportunities for improvement, define and cultivate use cases, and create associated business cases.
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