Candidates can be based out of Chicago | Atlanta | New York Metro

As 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 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 client

Requirements:

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 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 casesLife at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout Capgemini Invent

We challenge the status quo to craft and build transformative human experiences that win hearts and move markets. 

Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer centric transformation.

Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet.

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Candidates can be based out of Chicago | Atlanta | New York Metro

As 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 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 client

Requirements:

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 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 casesLife at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout Capgemini Invent

We challenge the status quo to craft and build transformative human experiences that win hearts and move markets. 

Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer centric transformation.

Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet.

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120,000 to $150,000.This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.