L.E.K. Consulting is looking for a Data Scientist to join their Data & Analytics team to provide technical expertise, execute complex analytics, build innovative tools, drive technical roadmaps, and train colleagues to solve challenging business problems for their clients.
Requirements
- A 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 Scientist
- Strong 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 preferred
- Technical 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 plus
- Expertise 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 environments
- Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices
- Ability to explain complex algorithms to business stakeholders
Responsibilities
- Support 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 objectives
- Support 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 time
- Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations
- Help drive the technical roadmap needed to support client engagements
- Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems
- Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer
Other
- Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics
- Experience at a consulting firm / agency is a plus
- Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral
- Ability 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.
- L.E.K. Consulting has a hybrid work model in place for our U.S. offices.
- Applicants for this position must be legally authorized to work in the United States on a permanent basis without the need for employer sponsorship. Unfortunately, we are unable to consider candidates requiring sponsorship for visas, including but not limited to TN, H1-B, F-1, STEM OPT/CPT, or any other work authorization.
