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L.E.K. Consulting ยท 1 week ago
Senior Data Scientist
LA Metro Area
Full-time
Hybrid
Senior Level
$120K/yr - $145K/yr
4+ years exp
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Business Consulting and Services
Insider Connection @L.E.K. Consulting
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
Support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work
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
Qualification
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Required
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) 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.
Candidates responding to this posting must currently possess eligibility to work in the United States
Preferred
Familiarity with Alteryx and Tableau
Benefits
Performance bonus
Profit sharing
Other benefits
Company
L.E.K. Consulting
L.E.K.
1,001-5,000 employees
Funding
Current Stage
Late StageLeadership Team
Alex Rogalski
Managing Director & Partner
Alison Schilling
Managing Director and Partner
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