• Azure Data Scientist, Manager, Tech Consulting - New York, Chicago, Seattle

    EY New York, NY 10176

    Job #1897946884

  • 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.

    Tech Consulting Manager, Data Scientist, US (Azure)

    EY delivers unparalleled tech consulting services in big data, business intelligence, digital, machine learning and Artificial Intelligence. We help clients understand, architect, select and implement leading-edge solutions to drive their business. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to deliver the highest level of execution and satisfaction for our clients. Our approach is focused on analyzing business needs and making sure that the solutions delivered meet our client's goals.

    The opportunity

    EY is investing significantly in the build out of Data and AI services that leverage Microsoft Azure. This is a rapidly growing area, and you will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the data science landscape. As a key leader within the firm, you will help our clients navigate the complex world of modern data science and analytics. You will provide our clients with a unique perspective on how data science and analytics can transform & improve their entire organization - starting with key business issues they face.

    Your key responsibilities

    The Data Scientist Manager focuses on architecting solutions and managing client engagement teams, working with a wide variety of clients to deliver tech consulting services, and managing business development activities on strategic and global priority accounts.

    Skills and attributes for success

    • Leading large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.

    • Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes.

    • Provides directional guidance and recommendations around data technology, data models, data storage and data analytics

    • Managing expectations of client service delivery.

    • Staying abreast of current business and industry trends relevant to the client's business

    • Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.

    • Fostering an innovative and inclusive team- oriented work environment. Playing an active role in counselling and mentoring junior consultants within the organization

    • Cultivating and managing business development opportunities. Developing and maintaining long- term client relationships and networks.

    • Assisting in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management

    To qualify for the role you must have

    • Bachelor's degree, or MS degree in Computer Science, Statistics or Applied Mathematics, Data Science, or Machine Learning. Ph. D. preferred

    • At least five years hands-on experience with data science, big data, and data engineering

    • Deep understanding of statistical modeling

    • Ability to set up data and experimental platforms

    • R or SAS, Python, Java/C# and Scala

    • Machine learning using k-NN, naive bayes, decision trees, SVM experience required

    • Experience using data mining and statistical tools

    • Solid pattern recognition and predictive modelling skills

    • Recommendation engines, scoring systems, A/B testing

    • Knowledge and experience with one or more cloud available Machine Learning frameworks and tools such as Tensor Flow, PyTorch, ONNX, Weka, NumPy, PyMongo, etc.

    • Hands-on experience with analytics and big data technologies within Microsoft Azure, with some experiences in tools such as Azure Data Factory, Azure Machine Learning, ML Ops, Azure Cognitive Services, Databricks or Synapse.

    • Knowledge of using automated machine learning (AutoML) frameworks to enhance productivity

    • Foster collaboration between DevOps and machine learning operations (MLOps) teams

    • Thorough business understanding of data science application and ability to communicate with key decision-makers

    • Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.

    • Outstanding team player.

    • Independent and able to manage and prioritize workload.

    • Ability to quickly and positively adapt to change.

    • A valid driver's license in the US; willingness and ability to travel to meet client needs.

    Ideally, you'll also have

    • Bachelor's Degree or above in mathematics, information systems, statistics, computer science, or related disciplines

    • Experience with open source platforms like R Studio Connect

    • Experience with ETL, ELT, data ingestion/cleansing and engineering skills

    • Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, Data Lake, etc.

    • MS Certification: Azure Data Scientist Associate

    What we look for

    We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

    What we offer

    We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. 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.

    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 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.

    EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.