Data Scientist (Marketing Analytics) - Capgemini
New York, NY
About the Job
Job Title: Data Scientist (Marketing Analytics)
Job Location: Hybrid (preferred base locations: Atlanta, Dallas, Houston, Chicago, NYC area, and Seattle)
Job description:
We are seeking a highly skilled and motivated AI Data Scientist to join our dynamic team. The successful candidate will be responsible for developing and implementing AI-assisted marketing analytics solutions that address customer marketing and business intelligence needs. This role requires a strong background in data science, machine learning, and a keen understanding of marketing strategies, MarTech/AdTech, and marketing measurement methodologies. The ideal candidate will work closely with multi-functional teams to deliver innovative solutions that drive business growth and improve customer engagement.
Key Responsibilities:
+ Work with big data to develop data science solutions that enable partners to understand the effects of marketing on business goals, while driving optimization recommendations for existing campaigns.
+ Reporting, analytics, modeling, and measurement of marketing campaigns, monthly and quarterly revenue performance reviews, projections, ad hoc deep-dives, and more. Experience developing marketing mix models, multi-touch attribution solutions, customer segmentation, and leveraging GenAI to enhance marketing strategies and execution are a must.
+ Deliver highly effective solutions, insights and recommendations, and optimization strategies to accelerate ROI growth for clients, while developing custom data science tools to meet their specific needs.
+ Possess strong problem-solving and analytical skills with the ability for creative thinking, and the ability to synthesize substantial amounts of data in an efficient and effective manner.
+ Communicate results to non-technical/non-analytical stakeholders through cohesive storytelling should be top-notch.
+ Work collaboratively with cross-functional teams and customers across both Capgemini and the client’s organization to drive strong marketing performance and to translate data into analytical insights and tools that lead to strategic, actionable recommendations.
Required skills:
+ Data Analysis and Model Development
+ Collect, process, and analyze large datasets to derive actionable insights. Develop, implement, and maintain machine learning models to enhance marketing analytics solutions.
+ Perform exploratory data analysis (EDA) to identify patterns and trends.
+ Design and implement models & ML algorithms that optimize marketing campaign strategies, customer targeting, customer experience analytics, performance optimization, and more.
+ Ensure models are scalable, efficient, and deliver high performance.
+ Develop and enhance AI-assisted tools for customer segmentation, predictive analytics, measurement, and personalization.
+ Monitor and evaluate model performance and accuracy. Create reports and dashboards to track key metrics and provide insights to stakeholders.
+ Integrate developed models into existing marketing platforms and tools.
+ Stay ahead of the latest advancements in AI and machine learning technologies.
+ Experiment with new techniques and methodologies to continuously improve the effectiveness of marketing intelligence solutions.
+ 5 years of data science/analytics experience using Big Data (Hadoop, Hive, Spark, etc.), preferably alongside digital data sources (Facebook, Instagram, DV360, etc.)
+ Advanced SQL, Python, and R programming, working with complex queries, partitions, and CTEs and/or ability to quickly learn new programming languages/frameworks/technologies
+ Experience with SQL platforms/MPP databases, such as Teradata, Redshift, Snowflake, etc.
+ Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
+ Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps practices.
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
About Capgemini
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 fueled 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.
Get The Future You Want | www.capgemini.com
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.
Job: _Developer_
Organization: _I&D_
Title: _Data Scientist (Marketing Analytics)_
Location: _NY-New York_
Requisition ID: _076089_
Job Location: Hybrid (preferred base locations: Atlanta, Dallas, Houston, Chicago, NYC area, and Seattle)
Job description:
We are seeking a highly skilled and motivated AI Data Scientist to join our dynamic team. The successful candidate will be responsible for developing and implementing AI-assisted marketing analytics solutions that address customer marketing and business intelligence needs. This role requires a strong background in data science, machine learning, and a keen understanding of marketing strategies, MarTech/AdTech, and marketing measurement methodologies. The ideal candidate will work closely with multi-functional teams to deliver innovative solutions that drive business growth and improve customer engagement.
Key Responsibilities:
+ Work with big data to develop data science solutions that enable partners to understand the effects of marketing on business goals, while driving optimization recommendations for existing campaigns.
+ Reporting, analytics, modeling, and measurement of marketing campaigns, monthly and quarterly revenue performance reviews, projections, ad hoc deep-dives, and more. Experience developing marketing mix models, multi-touch attribution solutions, customer segmentation, and leveraging GenAI to enhance marketing strategies and execution are a must.
+ Deliver highly effective solutions, insights and recommendations, and optimization strategies to accelerate ROI growth for clients, while developing custom data science tools to meet their specific needs.
+ Possess strong problem-solving and analytical skills with the ability for creative thinking, and the ability to synthesize substantial amounts of data in an efficient and effective manner.
+ Communicate results to non-technical/non-analytical stakeholders through cohesive storytelling should be top-notch.
+ Work collaboratively with cross-functional teams and customers across both Capgemini and the client’s organization to drive strong marketing performance and to translate data into analytical insights and tools that lead to strategic, actionable recommendations.
Required skills:
+ Data Analysis and Model Development
+ Collect, process, and analyze large datasets to derive actionable insights. Develop, implement, and maintain machine learning models to enhance marketing analytics solutions.
+ Perform exploratory data analysis (EDA) to identify patterns and trends.
+ Design and implement models & ML algorithms that optimize marketing campaign strategies, customer targeting, customer experience analytics, performance optimization, and more.
+ Ensure models are scalable, efficient, and deliver high performance.
+ Develop and enhance AI-assisted tools for customer segmentation, predictive analytics, measurement, and personalization.
+ Monitor and evaluate model performance and accuracy. Create reports and dashboards to track key metrics and provide insights to stakeholders.
+ Integrate developed models into existing marketing platforms and tools.
+ Stay ahead of the latest advancements in AI and machine learning technologies.
+ Experiment with new techniques and methodologies to continuously improve the effectiveness of marketing intelligence solutions.
+ 5 years of data science/analytics experience using Big Data (Hadoop, Hive, Spark, etc.), preferably alongside digital data sources (Facebook, Instagram, DV360, etc.)
+ Advanced SQL, Python, and R programming, working with complex queries, partitions, and CTEs and/or ability to quickly learn new programming languages/frameworks/technologies
+ Experience with SQL platforms/MPP databases, such as Teradata, Redshift, Snowflake, etc.
+ Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
+ Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps practices.
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
About Capgemini
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 fueled 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.
Get The Future You Want | www.capgemini.com
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.
Job: _Developer_
Organization: _I&D_
Title: _Data Scientist (Marketing Analytics)_
Location: _NY-New York_
Requisition ID: _076089_
Source : Capgemini