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Data Scientist

  • Job
    Full-time
    Junior & Mid Level
  • Los Angeles

AI generated summary

  • You should have strong analytical skills, proficiency in statistical tools, experience with data visualization, programming knowledge, and a background in math or computer science.
  • You will analyze data, develop models, and generate insights to support business decisions, collaborating with teams to drive strategic initiatives and optimize client outcomes.

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.

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.