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About the Role

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We enhance customer experiences and drive sustained growth and customer value creation and capture through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects balancing business strategy, technology, creativity, and ongoing managed services to solve the biggest problems affecting customers, partners, constituents, and the workforce.

Responsibilities

Translating business goals into machine learning use cases and model design approaches.
Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor’s degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
5+ years of industry experience outside of academia applying data science or machine learning methods
Experience translating business goals into machine learning use cases and model design
Experience performing exploratory data analysis and developing predictive models
Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Skills

Machine learning
Data science
Exploratory data analysis
Predictive modeling
Clustering
Sampling
Feature transformation
Model design
Analytics
Data engineering
Master’s degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
Manipulating large marketing data sets
Extract, transform, and load activities
Boosted trees
Logistic regression
Classification techniques
Unsupervised models
Large language models
Experimental design
Data sets generated in advertising technology or marketing technology environments
Presenting complex data insights to non-technical audiences
Deep learning architectures
Reinforcement learning

Location

Atlanta, Georgia, United States
Austin, Texas, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Cincinnati, Ohio, United States
Cleveland, Ohio, United States
Columbus, Ohio, United States
Dallas, Texas, United States
Denver, Colorado, United States
Detroit, Michigan, United States
Houston, Texas, United States
Indianapolis, Indiana, United States
Kansas City, Missouri, United States
Los Angeles, California, United States
McLean, Virginia, United States
Miami, Florida, United States
Minneapolis, Minnesota, United States
Morristown, New Jersey, United States
Nashville, Tennessee, United States
New York, New York, United States
Philadelphia, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States
Sacramento, California, United States
San Diego, California, United States
San Francisco, California, United States
San Jose, California, United States
Seattle, Washington, United States
St. Louis, Missouri, United States
Stamford, Connecticut, United States
Tampa, Florida, United States
Tempe, Arizona, United States

Work Type

Full-time

Experience Level

3+ years of experience
5+ years of industry experience outside of academia applying data science or machine learning methods

Education Level

Bachelor’s degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
Master’s degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field

Salary/Compensations

$137,500 - $193,600

Benefits

Discretionary annual incentive program
Benefit package details available at https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyCDandETAM.pdf?csf=1&web=1&e=pKjS1C
Opportunities to build new skills
Leadership opportunities
Mentorship programs
On-the-job learning experiences
Formal development programs

About the Company

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action.
We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions.
Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration.
Join us to drive impactful customer interactions and business growth.
Deloitte's purpose is to make an impact that matters for our people, clients, and communities.
Deloitte is committed to providing reasonable accommodations for people with disabilities.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges.
This makes Deloitte one of the most rewarding places to work.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
See notices of various fair chance hiring and ban-the-box laws where available.
Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers