Government and Public Sector - Data Analytics Consultant

Key Skills

A/B Testing, Amazon Simple Storage Service (S3), Apache Hive, Apache Pig, Artifactory, AWS, Big Data Technology, C# Programming, Data Mining, Data science techniques, ETL frameworks, Java Programming, Machine learning techniques, Microsoft-Excel, NoSQL, NumPy, PyMongo, Python Programming, R Programming, RDBMS, SAS, SQL, Streaming APIs

Job Description

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

Have you ever thought about making history at the largest technology consultancy in the world?

Professionals in this specialty focus on identifying key business challenges that can be solved and measured through the application of cognitive applications and artificial intelligence. Responsibilities include translating mathematical formulas into code, building models and proof-of-concept algorithms, as well as researching, designing and developing predictive mathematical models using artificial intelligence. All these skills will be performed in a multidisciplinary group focused on generating data-driven insights. In addition, it will be your responsibility:

• Lead data science projects collaborating with multiple teams.
• Develop algorithms for advanced data analysis, mathematical optimization, machine learning and data visualization.
• Identify and investigate relevant data sources.
• Produce data visualizations and storytelling to advise on company strategies.
• Use best practices and ensure a solid methodology for experiments to produce relevant conclusions.
• Explain complex technical ideas in a simple way, such as mathematical concepts, to non-technical audiences.
• Manage demands with a sense of urgency and energy.

• Required Technical and Professional Expertise
• Education: Statistics, Mathematics, Engineering, IT, Physics or related areas.
• Experience working as a data scientist.
• English: Fluent (will work exclusively with global team)

• Solid knowledge of Statistics (Statistics, Probability, Exploratory Data Analysis, Bayesian Inference, Causal Inference, Time Series Modeling, Machine Learning Techniques, NLP).

• Business Intelligence.
• Knowledge of database (SQL).
• Data preparation methods, predictive modeling (scikit-learn, Stats.models, numpy, pandas, etc.)
• Data visualization (Plotly, Bokeh, Tableau, PBI).
• Application and concepts of Machine Learning.
• Programming skills in Python and/or R.
• Communication skills.
• Ability to work with cloud platforms (Azure, IBM Cloud, Google Cloud or AWS)

Preferred Technical and Professional Expertise

Version Control (Git) At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, including 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.

Data Scientist/Analyst, Consultant, Technology Consulting US

EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that have been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals.

The opportunity

You will help our clients navigate the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Your key responsibilities

You'll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.

Skills and attributes for success

• Applying data mining and statistical analysis techniques like hypothesis testing, segmentation and modeling to analyze large amounts of data
• Helping our 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
• Building and applying data analysis algorithms (data mining, statistics, mac