As a modern technology company, we thrive when we can apply innovative/ modern technology approaches to address challenging business problems. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies in driving their business and/or mission forward. We blend design, engineering, data, analytics, and AI expertise to build the future. We surround our consultants with interesting challenges, innovative minds, and emerging technologies.
This role targets a Principal or Senior Principal level and must be located within a commutable distance of one of our Chicagoland offices.
What You'll Do
Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company).
Keep knowledgeable of advancements in generative AI and understanding different models and their applications. Recognizing how generative AI can securely and ethically fulfill business demands, identify gaps, or pioneer new innovations.
Efficiently synthesize large volumes of data, extracting meaningful insights in a structured and programmatic manner.
Create effective data visualizations to simplify and clarify complex data patterns and trends and explain these complex concepts and business value to non-technical stakeholders.
Work with a team of data professionals to integrate diverse data sources, establishing a comprehensive and unified view of the client's data landscape.
Lead and participate in solutioning sessions, working hand-in-hand with business/client, translating business objectives into actionable machine learning/data science use case.
In a team environment, impact $1M - $2.5M in sales revenue specific to AI/ML pursuits through translation of business objectives into data science/ machine learning use case (i.e., solutioning).
What You'll Bring
Experienced in designing the overarching GenAI system architecture, ensuring optimal retrieval, augmentation, and generation processes align with the RAG pattern or other patterns (e.g. agentic) as well as business objective.
Hands-on ability to implement generative AI use cases using established and emerging architecture patterns. Experience implementing a Retrieval Augmentation Generation (RAG) pattern inclusive of optimizing text loading, chunking, extraction, and search/response retrieval.
Strong proficiency in Python, R, SQL, and experience with libraries/frameworks such as PyTorch, TensorFlow, and Scikit-learn.
Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML/ Azure AI Studio.
Experience building end-to-end data science solutions, including operationalizing ML models.
Preferred but not required: Prior formal experience in a leadership role. The ability to guide and manage a team effectively would be highly advantageous.
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com.
Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer a yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal-opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
