Data Scientist

Overview of the Data & Analytics team:L.E.K.'s Data & Analytics function is focused on creating and deploying best-in-class capabilities to drive business results for our clients. The team is comprised of data scientists, data engineers, technical business analytics consultants, and product managers who work together to solve some of the most challenging business problems our clients have. We drive the full analytics life cycle on client engagements: scoping and understanding business challenges, developing and maintaining robust data assets, creating and running innovative analytical techniques, generating compelling visualizations to communicate the findings / recommendations. We build, develop, and maintain innovative tools and applications for use across projects and for specific clients. We coach, mentor and train colleagues from across the business, on everything from what types of commercial problems analytical techniques can help solve to in-depth technical training for specific types of analysis.We are actively looking for a Data Scientist or Senior Data Scientist to join L.E.K.'s rapidly growing Data & Analytics team. The primary focus of this role is to provide technical expertise: helping to execute on complex analytics across a wide variety of often fast-paced client engagements, helping to build innovative tools and applications that can help solve client’s commercial issues, helping to execute cutting edge analytical techniques, helping to drive technical roadmaps for the function and firm, and training our colleagues.As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.Data & Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information & Research Center and Knowledge Management.Responsibilities:Client engagements:Lead end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectivesSupport clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one timeAnalytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizationsHelp drive the technical roadmap needed to support client engagementsAnalytical apps, service lines, and proprietary data assets:Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problemsCollaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offerProvide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicableUphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainableClient / business development:When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of workProvide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilitiesCapability developmentStay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutionsSupport commercialization and upskilling of staff on relevant software, tools and techniquesHelp drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics functionMentor team members, contribute to technical capabilities of the teamQualifications and Experience:Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, EconomicsA minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data ScientistA minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Senior Data ScientistStrong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferredTechnical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plusExpertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow)Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environmentsHands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practicesExperience with commercial business analytics; experience at a consulting firm / agency is a plusProficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholdersAbility to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.For more information and to apply, go to https://www.lek.com/join-lek/apply/apply-nowCandidates responding to this posting must currently possess eligibility to work in the United StatesL.E.K. Consulting is an Equal Opportunity EmployerL.E.K. Consulting has a hybrid work model in place for our U.S. offices.In California, the base salary is between $80,000 - $145,000 (USD); placement within this range will vary based on experience and skill level. L.E.K. also offers a performance bonus, profit sharing and other benefits.In other locations, competitive pay is commensurate with the role and geography.

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