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*This role is not eligible for 100% remote work and employees must live within a commutable distance of the Seattle area, where the role is based. * Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds and emerging technologies. Our Seattle Data & Analytics practice is looking to add an enthusiastic Senior Data Scientist Consultant to our locally based team. 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) * Collaborate with client data science teams to enhance, scale, and operationalize existing models * Communicate effectively with both technical and non-technical stakeholders * Provide thought leadership on the latest ML/AI technologies and applications to client industry and use cases * Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use cases What You'll Bring * Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment * Quantitative background with relevant experience using data to solve problems and answer questions * 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 * Experience using data visualization tools such as Tableau, Qlik, or Power BI * Knowledge of relational and dimensional database structures, theories, principles, and practices 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 11,000+ 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 additional benefits such as 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. For this position, the base salary pay range is $120,000 to $186,000 To view the full job description,

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