Data Scientist - Technology Consulting - AI and Data - AI and Quantitative Modelling - Azure Data Scientist - Manager - Multiple Positions -Ernst & Young U.S. LLP San Jose CA.
Solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for clients. Assist with clients data strategy business priorities and success measures to provide context for designing and building models. Translate business requirements to Data Science solutions leveraging strong business acumen. Apply technical knowledge to architect solutions that meet business needs AA/AI roadmaps and contributing to architectures that enable the ability to scale to support additional modelling use cases. Collaborate with Microsoft Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform. Design machine learning pipelines that curate datasets train test and validate models compare model performance to existing or previously catalogued models and then package the models and either deploy them to a real-time serving layer or handle batch scoring activities. Provide directional guidance and recommendations around data technology data models data storage and data analytics. Stay abreast of current business and industry trends relevant to the clients business.
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 Bachelors degree in Mathematics Information Systems Statistics Computer Science Data Science Machine Learning Analytics Engineering or a related field and 5 years of progressive post-baccalaureate advisory and/or consulting work experience. Alternatively will accept a Masters degree in Mathematics Information Systems Statistics Computer Science Data Science Machine Learning Analytics Engineering or a related field and 4 years of advisory and/or consulting work experience.
Must have 4 years of combined experience with data science AI and/or data engineering or big data.
Must have 2 years of combined experience with 3 of the following:
- machine learning such as k-NN naive bayes decision trees or SVM
- data mining and statistical tools
- pattern recognition and predictive modelling
- recommendation engines scoring systems A/B testing
- setting up data and experimental platforms.
Must have 1 year of experience with analytics and big data technologies within Microsoft Azure using tools such as Azure Data Factory Azure Machine Learning Azure Cognitive Services Azure Databricks or Azure Synapse Analytics.
Must have 1 year of experience with leveraging distributed techniques for training and scoring machine learning models using Azure Databricks.
Must have 1 year of experience with any of the following cloud Machine Learning frameworks and tools such as Tensor Flow PyTorch ONNX Weka NumPy or PyMongo.
Must have 1 year of experience with Model Management such as Azure ML service or MLFlow and deployment of models using Azure Kubernetes Service.
Must have 1 year of experience working in Python R Scala or T-SQL.
Must have 2 years of experience counselling and mentoring junior level consultants by providing structured on-the-job feedback.
Requires domestic travel up to 70% to serve client needs.
Employer will accept any suitable combination of education training or experience.
Please apply on-line at and click on Careers - Job Search See All then Experienced Professionals(Job Number -).
What we offer
We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $162615.00 per 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 youll decide how much vacation time you need based on your own personal circumstances. Youll 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: Youll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: Youll 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. Its yours to build.
EY Building a better working world
EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.
Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.
Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.
For those living in California pleaseclick here for additional information.
EY provides equal employment opportunities to applicants and employees without regard to race color religion age sex sexual orientation gender identity/expression pregnancy genetic information national origin protected veteran status disability status or any other legally protected basis including arrest and conviction records in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process please call 1-800-EY-HELP3 type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center) which will route you to EYs Talent Shared Services Team or email SSC Customer Support at
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.
Required Experience:
Manager
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