Deloitte Data Scientist in Austin, Texas
Are you an experienced, passionate pioneer in technology? A system's professional who wants to work in a collaborative environment. As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.
Work you'll do/Responsibilities
Deep dives in large-scale data to identify key insights that inform product improvements and business strategy.
Performing Data Analysis and finding solutions to various data based problems
Responsible for designing high quality dashboards with BI tools such as Tableau or other internal tools
Running PySpark pipeline for data analysis
Strong knowledge of Python to do various analysis and develop ML based models
Using Shell Script and Git environment to connect with various data sources to perform various analysis
Our Strategy practice brings together several key capabilities that will allow us to architect integrated programs that transform our clients' businesses, including Corporate & Business Unit Strategy, Technology Strategy & Insights, Enterprise Model Design, Enterprise Cloud Strategy and Business Transformation.
Strategy professionals will serve as trusted advisors to our clients, working with them to make clear data-driven choices about where to play and how to win, in order to drive growth and enterprise value.
Strategy will help our clients:
Identify strategies for growth and value creation
Develop the appropriate business models, operating models, and capabilities to support their strategic vision
Maximize the ROI on technology investments and leverage technology and Cloud trends to architect future business strategies
5+ years of recent experience in a data science or data analyst role.
Demonstrated ability in applied empirical analytics, data mining and predictive analytics to provide with actionable insights.
Experience measuring UX impact, customer engagement, planning and analyzing AB experiments.
Strong familiarity with multiple platforms, tools, methodologies in data analysis and insight synthesis.
Have strong working knowledge of database structures and data warehousing principles and have authoritative level SQL with the ability to ETL both structured and unstructured data from various sources.
Conceive and execute the design of end to end scripted analytics solutions using SQL/TeraData as well as modern analytical systems in Spark SQL, PySpark/Hadoop as well as experience using Notebooks.
Experience in data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
Strong knowledge and hands on experience doing complex quantitative analysis and working with distributed cluster computing
Strong knowledge and hands on experience with scripting languages such Python, R
Expertise in building sophisticated ML models
Prior experience working with financial products, particularly credit cards is required.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.