Senior Data Scientist - Capgemini
Jersey City, NJ
About the Job
Senior Data Scientist
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Client Location: Jersey City, NJ
Job Description
+ 8-10 years of experience Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets.
+ Extract data into presentable reports charts and graphs.
+ Analyze and interpret data to find outliers understand root cause business impact correlations/discrepancies and propose changes/alternate solutions.
+ Discover patterns/root causes and generate insights to drive product enhancements
Machine Learning: Develop implement and optimize machine learning models to support various business initiatives. Analyze and evaluate the quality of data used for model training and testing.
Create and present proposals and results in an intuitive data-backed manner along with actionable insights and recommendations to drive business decisions
Project Leadership: Lead data science projects from conception to deployment ensuring timely delivery and high-quality outcomes.
Collaboration: Work closely with product managers engineers and other stakeholders to understand business needs and align data solutions accordingly.
Mentorship: Mentor and guide junior data scientists and analysts fostering a collaborative and growth-oriented environment.
Data Infrastructure: Contribute to the development and maintenance of data pipelines ensuring data accuracy and accessibility.
Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences.
Qualifications:
Qualifications Education: Master's or Ph.D. degree in Data Science Computer Science Statistics or a related field.
Experience: Minimum of 5 years of experience in data science or a related field. Expert in AWS AI/ML GenAI tools e.g. SageMaker Bedrock etc.
Technical Skills: Proficiency in programming languages such as Python R and SQL. Experience with machine learning frameworks (e.g. TensorFlow Scikit-learn) and data visualization tools (e.g. Tableau Power BI).
Experienced in Identity and Access management data protection data privacy standards Experienced in building model/tooling around continuous auditing
Analytical Skills: Strong analytical and problem-solving skills with a keen attention to detail.
Communication Skills: Excellent verbal and written communication skills with the ability to convey complex concepts to diverse audiences.
Team Player: Ability to work effectively in a team environment and independently.
Preferred Qualifications:
+ Experience in the industry relevant to the company's domain (e.g. finance healthcare e-commerce).
+ Familiarity with cloud computing platforms (e.g. AWS Google Cloud Azure).
+ Experience with big data technologies (e.g. Hadoop Spark). Published research or contributions to open-source projects.
Life 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 work
+ Healthcare including dental, vision, mental health, and well-being programs.
+ Financial well-being programs such as 401(k) and Employee Share Ownership Plan
+ Paid time off and paid holidays
+ Paid parental leave.
+ Family building benefits like adoption assistance, surrogacy, and cryopreservation
+ Social well-being benefits like subsidized back-up child/elder care and tutoring
+ Mentoring, coaching, and learning programs.
+ Employee Resource Groups.
+ Disaster Relief.
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
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Ref. code: 84602
Posted on: Oct 8, 2024
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
Bridgewater, US
Brand: Capgemini
Professional Community: Software Engineering
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.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Client Location: Jersey City, NJ
Job Description
+ 8-10 years of experience Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets.
+ Extract data into presentable reports charts and graphs.
+ Analyze and interpret data to find outliers understand root cause business impact correlations/discrepancies and propose changes/alternate solutions.
+ Discover patterns/root causes and generate insights to drive product enhancements
Machine Learning: Develop implement and optimize machine learning models to support various business initiatives. Analyze and evaluate the quality of data used for model training and testing.
Create and present proposals and results in an intuitive data-backed manner along with actionable insights and recommendations to drive business decisions
Project Leadership: Lead data science projects from conception to deployment ensuring timely delivery and high-quality outcomes.
Collaboration: Work closely with product managers engineers and other stakeholders to understand business needs and align data solutions accordingly.
Mentorship: Mentor and guide junior data scientists and analysts fostering a collaborative and growth-oriented environment.
Data Infrastructure: Contribute to the development and maintenance of data pipelines ensuring data accuracy and accessibility.
Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences.
Qualifications:
Qualifications Education: Master's or Ph.D. degree in Data Science Computer Science Statistics or a related field.
Experience: Minimum of 5 years of experience in data science or a related field. Expert in AWS AI/ML GenAI tools e.g. SageMaker Bedrock etc.
Technical Skills: Proficiency in programming languages such as Python R and SQL. Experience with machine learning frameworks (e.g. TensorFlow Scikit-learn) and data visualization tools (e.g. Tableau Power BI).
Experienced in Identity and Access management data protection data privacy standards Experienced in building model/tooling around continuous auditing
Analytical Skills: Strong analytical and problem-solving skills with a keen attention to detail.
Communication Skills: Excellent verbal and written communication skills with the ability to convey complex concepts to diverse audiences.
Team Player: Ability to work effectively in a team environment and independently.
Preferred Qualifications:
+ Experience in the industry relevant to the company's domain (e.g. finance healthcare e-commerce).
+ Familiarity with cloud computing platforms (e.g. AWS Google Cloud Azure).
+ Experience with big data technologies (e.g. Hadoop Spark). Published research or contributions to open-source projects.
Life 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 work
+ Healthcare including dental, vision, mental health, and well-being programs.
+ Financial well-being programs such as 401(k) and Employee Share Ownership Plan
+ Paid time off and paid holidays
+ Paid parental leave.
+ Family building benefits like adoption assistance, surrogacy, and cryopreservation
+ Social well-being benefits like subsidized back-up child/elder care and tutoring
+ Mentoring, coaching, and learning programs.
+ Employee Resource Groups.
+ Disaster Relief.
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
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Ref. code: 84602
Posted on: Oct 8, 2024
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
Bridgewater, US
Brand: Capgemini
Professional Community: Software Engineering
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.
Source : Capgemini