Logo of Huzzle

Home

Matches

Explore

Manage

Contract - Data Scientist

image

L.E.K. Consulting

25d ago

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

AI generated summary

  • You need a quantitative degree, 2+ years in data science, proficiency in Python and ML tools, cloud model deployment, MLOps, and strong communication skills. Experience in consulting is a plus.
  • You will lead data science projects, deploy machine learning models, analyze client needs, develop analytical tools, mentor team members, and ensure best practices in data integrity and app development.

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 for the Data Scientist position is for 3 months.

What is the primary focus of the Data Scientist role?

The primary focus of the Data Scientist role is to provide technical expertise in executing complex analytics, building innovative tools and applications, and driving technical roadmaps for client engagements.

What qualifications are required for the Data Scientist position?

A degree in a quantitative and/or business discipline is preferred, along with a minimum of 2 years of experience in applied data science and a solid foundation in machine learning and statistical modeling.

What tools and technologies should candidates be familiar with?

Candidates should have strong knowledge in tools such as Python with data science libraries, Spark, SQL, and familiarity with Alteryx and Tableau is preferred.

Are there opportunities for training or mentorship in this role?

Yes, the Data Scientist will have opportunities to mentor team members and contribute to the technical capabilities of the team.

Is experience in commercial business analytics required?

Experience in commercial business analytics is preferred, and experience at a consulting firm or agency is a plus.

What is the hourly rate for the Data Scientist position in New York?

The hourly rate for the Data Scientist position in New York is between $45 - $60 (USD), depending on experience and skill level.

Is there a specific educational background preferred for this role?

Yes, a degree in fields such as Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, or Economics is preferred.

What analytical techniques will the Data Scientist utilize?

The Data Scientist will utilize techniques such as machine learning, predictive modeling, geospatial analysis, natural language processing (NLP), and other advanced analytical methods.

What is the work model at L.E.K. Consulting?

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

image

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.