L.E.K. Consulting is looking to solve complex business problems for its clients using data science and analytics, and is seeking a Data Scientist to join its rapidly growing Data & Analytics team to provide technical expertise and help drive business results.
Requirements
- 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
- Experience with commercial business analytics; experience at a consulting firm / agency is a plus
- Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; 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
- Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time
- 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
- Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable
- Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions
- Support commercialization and upskilling of staff on relevant software, tools and techniques
Other
- Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics
- 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
- 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.
- Applicants for this position must be legally authorized to work in the United States on a permanent basis without the need for employer sponsorship.
- L.E.K. Consulting has a hybrid work model in place for our U.S. offices.
