Data Scientist

L.E.K. Consulting

Jul 30

Applications are closed

Job
Full-time
Junior & Mid Level
Los Angeles

Requirements

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
A 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 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
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.

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

FAQs

What is L.E.K. Consulting?

L.E.K. Consulting is a global management consulting firm that specializes in helping business leaders achieve practical results through deep industry expertise and rigorous analysis. The firm works with leading private and public sector organizations, private equity firms, and entrepreneurial businesses.

What is the role of the Data Scientist at L.E.K. Consulting?

The Data Scientist will provide technical expertise by executing complex analytics on various client engagements, developing innovative tools and applications, deploying advanced machine learning models, and training colleagues on analytical techniques.

What qualifications are needed for the Data Scientist position?

Candidates should have a degree in a quantitative or business discipline (e.g., Statistics, Computer Science, Data Science, Mathematics). A minimum of 2 years of experience in applied data science is required for a Data Scientist, while a minimum of 4 years is required for a Senior Data Scientist.

What technical skills are necessary for this job?

Candidates must be proficient in tools such as Python (with libraries like scikit-learn, TensorFlow, PyTorch), Spark, SQL, and have experience in deploying machine learning models in cloud environments (AWS, Azure, GCP). Familiarity with Alteryx and Tableau is preferred.

What types of analytical techniques will the Data Scientist use?

The Data Scientist will utilize a variety of analytical techniques, including machine learning, statistical modeling, classification models, clustering analysis, time-series modeling, and natural language processing (NLP).

Will the Data Scientist have opportunities for mentoring and training?

Yes, the Data Scientist will mentor team members and contribute to the technical capabilities of the team, as well as provide training and upskilling within the Data & Analytics function.

Is experience in a consulting firm preferred for this position?

While not mandatory, experience with commercial business analytics and a consulting firm or agency is preferred.

What is the reporting structure for this role?

The Data Scientist will support Managing Directors in developing client proposals and will be part of the broader Data & Analytics team within the Solutions team at L.E.K. Consulting.

What is the salary range for this position in California?

The base salary range for this position in California is between $80,000 and $145,000, varying based on experience and skill level. Additionally, L.E.K. offers performance bonuses and profit sharing.

What is L.E.K. Consulting's policy on diversity and inclusion?

L.E.K. Consulting is an Equal Opportunity Employer, emphasizing a commitment to diverse hiring and an inclusive work environment.

Does L.E.K. Consulting offer remote work opportunities?

Yes, L.E.K. Consulting has a hybrid work model in place for its U.S. offices, allowing for a combination of in-office and remote work.

L.E.K. Consulting

See the world while helping to shape it

Consulting

Industry

1001-5000

Employees

1983

Founded Year

Mission & Purpose

L.E.K. Consulting is a global management consulting firm that specialises in providing strategic advice and solutions to clients across various industries. Their team of experienced consultants offers expertise in areas such as business strategy, mergers and acquisitions, market research, operations, and more. L.E.K. Consulting's ultimate mission is to help clients achieve exceptional results and create long-term value. They work closely with organisations to identify opportunities, solve complex problems, and drive sustainable growth. By combining rigorous analysis, industry insights, and innovative thinking, L.E.K. Consulting enables clients to make informed decisions and stay ahead in today's competitive business landscape.