Data Scientist - Applied Technology at Crowe
🇺🇸 United States › Illinois › Chicago (Posted Jun 5 2018)
About the company
Crowe is a public accounting, consulting and technology firm with offices around the world. Crowe uses its deep industry expertise to provide audit services to public and private entities. The firm and its subsidiaries also help clients make smart decisions that lead to lasting value with its tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the best places to work in the U.S. As an independent member of Crowe Global, one of the largest global accounting networks in the world, Crowe serves clients worldwide. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Given substantial growth and impact at Crowe, the machine learning team has formed into an official unit, Advanced Data Science (ADS), which is responsible for all machine learning and artificial intelligence throughout the firm. This team works on a wide variety of projects utilizing numerous areas of machine learning, including: supervised regression/classification, unsupervised learning, anomaly detection, NLP, reinforcement learning, deep learning, forecasting, etc.
Leverage large sets of structured and unstructured data to develop tactical and strategic insights. Collaborate with analytic and data teams to set objectives, approaches, and work plans. Research and evaluate new analytical methodologies, approaches, and solutions. Develop and validate statistical forecasting models and tools. Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers.
About the Team:
Applied Technology professionals at Crowe lead the software development efforts for the firm and build technology solutions in a consistent and reliable way. Applied Technology owns the software development competency for the firm, which is tied to standardized processes, practices, policies and controls for client-facing products and projects. Team members share expertise across various industries, targeting manufacturing and distribution, government, healthcare, financial services, and private equity groups based on demand from other Business Units. You will learn and build on a wide range of technologies in an environment where innovation and new ideas are highly encouraged. Hop on board to join one of the fastest growing technology consulting practices in the industry!
Skills & requirements
2+ years of experience in advanced analytics and machine learning model development and validation
2+ years of experience working on analytic-based projects and delivering results within scope, funding, and duration
Experience with a statistical package and various programming languages such as R, Python, Java, C++, SAS, Matlab, etc.
Experience with standard classification and regression techniques, including dimension reduction, feature selection and hypothesis testing
Strong communication skills with ability to explain modeling results to non-technical users
Capacity for a high degree of autonomy and out-of-the-box thinking
Experience with forecasting, anomaly detection, and clustering techniques
Neural networks (Feed-forward, CNN, RNN)
Experience writing SQL queries and linking to enable read/write to the database
Parallel Processing (CPU & GPU)
Cluster and cloud computing: Spark, Mesos, Azure ML, Kubernetes, etc.
API Implementation (Flask, plumber)
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