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Contract - Data Scientist

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L.E.K. Consulting

25d ago

  • Job
    Full-time
    Junior & Mid Level
  • Consulting
    Data
  • New York

AI generated summary

  • You need a degree in a quantitative field, 2+ years of data science experience, strong Python and ML skills, cloud expertise, MLOps knowledge, and excellent communication abilities.
  • You will lead data science projects, deploy machine learning models, solve analytical challenges, drive app development, mentor team members, and maintain best practices in analytics and data integrity.

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

  • 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
  • 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
  • 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
  • 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 the duration of the Data Scientist contract?

The contract is for a duration of 3 months.

What qualifications are preferred for this Data Scientist role?

A degree in a quantitative and/or business discipline is preferred, examples include Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, or Economics.

How many years of experience in applied data science is required?

A minimum of 2 years of experience in applied data science is required for a Data Scientist role, and a minimum of 4 years for a Senior Data Scientist role.

What programming languages and tools should applicants be proficient in?

Applicants should have strong knowledge and fluency in Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), SQL, and experience with Spark. Familiarity with Alteryx and Tableau is preferred.

Is prior consulting experience preferred for this position?

Yes, experience with commercial business analytics and prior experience at a consulting firm or agency is preferred.

Will the Data Scientist be required to mentor other team members?

Yes, the role includes mentoring team members and contributing to the technical capabilities of the team.

What are the key responsibilities associated with client engagements?

Key responsibilities include leading end-to-end data science projects, deploying advanced machine learning models, solving complex analytical challenges, and guiding clients in interpreting results and integrating insights into their workflows.

What kind of cloud environments should applicants have experience with?

Applicants should have expertise in deploying machine learning models in cloud environments such as AWS, Azure, and GCP, including familiarity with services like Sagemaker, Azure ML, Kubernetes, and Airflow.

What skills are necessary for effective communication in this role?

Proficient Excel and PowerPoint skills, as well as excellent written and oral communication skills, are necessary to explain complex algorithms to business stakeholders effectively.

What is the hourly pay range for this position in New York?

The hourly rate for this position in New York is between $45 and $60 (USD), with placement within this range varying based on experience and skill level.

What is the work model for L.E.K. Consulting's U.S. offices?

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

Are applicants required to be authorized to work in the U.S.?

Yes, applicants must be currently authorized to work in the United States on a full-time basis.

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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.