Senior Data Scientist

Chicago, IL, United States

Boston, Chicago, Houston, Los Angeles, San Francisco

Job Description About L.E.K. Consulting

L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns. The firm advises and supports global companies that are leaders in their industries — including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses. Founded more than 35 years ago, L.E.K. employs more than 2,200 professionals across the Americas, Asia-Pacific and Europe. For more information, go to www.lek.com .

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.

This role is for a Senior Data Scientist on 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. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients.

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 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

Analytical 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 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

Uphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable

Client / business development

When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work

Provide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilities

Capability development

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

Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics function

Mentor team members, contribute to technical capabilities of the team

Qualifications and Experience:

Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics

A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis

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) w ith 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

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.

Candidates responding to this posting must currently possess eligibility to work in the United States

L.E.K. Consulting is an Equal Opportunity Employer

L.E.K. Consulting has a hybrid work model in place for our U.S. offices.

In California, the base salary is between $120,000 - $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.

#J-18808-Ljbffr