Cons - Tech Cons-AI and Quant Modelling-AI Data Scientist - Manager - Multiple Positions - 1731669

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Consulting - Technology Consulting - AI and Quantitative Modelling - Artificial Intelligence Data Scientist (Manager) (Multiple Positions) (1731669), Ernst & Young U.S. LLP, Tysons (McLean), VA. 

Work with a wide variety of clients to deliver the latest data science, big data technologies, and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Create well-rounded approaches to help clients navigate the complex world of modern data science, analytics, and software engineering. Provide clients with a unique business perspective on how data science and analytics can transform and improve their entire organization. Clarify problems by driving to understand the true issue. Leverage Machine Learning (ML) workflows including ingesting, analyzing, and transforming data and evaluating results to make meaningful predictions and solve problems by incorporating data into decision making. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data. Use generative AI modelling and frameworks and large language models (LLMs) to help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices.  Build and apply data analysis algorithms including data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining. Design, architect and develop solutions leveraging data technologies to ingest, process and analyze large, disparate data sets to exceed business requirements. Design, build, and maintain ML models, frameworks, and pipelines as well as design and deploy end to end ML workflows in order to unify, enrich and analyze customer data to derive new insights and opportunities. 

Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm. 

MINIMUM REQUIREMENTS:

Must have a Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, must have a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 4 years of related work experience. 

Must have 3 years of experience in any combination of external advisory professional services, external consulting, or customer success.  

Must have 4 years hands-on working experience with artificial intelligence, machine learning, data science, or data engineering.  

Must have 4 years of experience working with Python.  

Must have 2 years of combined experience using any combination of at least 2 of the following Generative AI models and frameworks: 
• OpenAI family 
• Open source LLMs, Dall-e 
• LlamaIndex 
• Langchain 
• Retrieval Augmented Generation (RAG) 
• Other frontier model families (e.g. Anthropic) 

Must have 1 year of combined experience using DevOps tools GIT and Azure DevOps as well as Agile tools to develop and deploy analytical solutions with multiple features, pipelines, and releases. 

Must have 2 years of experience designing, building, and maintaining ML models, frameworks, and pipelines as well as designing and deploying end to end ML workflows on at least one major cloud computing platform. 

Must have 4 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark. 

Must have 2 years of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems.  

Must have 2 years of experience directly managing technical teams. 

Requires travel up to 80%, of which 10% may be international, to serve client needs. 

Employer will accept any suitable combination of education, training, or experience.

Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, “See All", then “Experienced Professionals” (Job Number - 1731669).

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $170,872.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

•    Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
•    Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
•    Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
•    Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.
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This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".