Data Scientist - TC -AI and D -AI and Quan Model- Azure Data Sci - Manager - Mul Pos - 1567107

Company: Ernst & Young Advisory Services Sdn Bhd
Location: Dallas
Posted on: January 23, 2025

Job Description:

Press Tab to Move to Skip to Content LinkOther locations: Primary Location OnlyRequisition ID: 1567107EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.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 client's 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 Bachelor's 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 Master's 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 platformsMust 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 ey.com/en_us/careers and click on "Careers - Job Search", then "Search Jobs" (Job Number - 1567107).What we offerWe 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 $144,108.00. 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. 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.EY - Building a better working worldEY 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
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Keywords: Ernst & Young Advisory Services Sdn Bhd, Plano , Data Scientist - TC -AI and D -AI and Quan Model- Azure Data Sci - Manager - Mul Pos - 1567107, Executive , Dallas, Texas