Orlando, FL, United States
September 30, 2022
Apply NowJob description
Are you an experienced, passionate pioneer in technology? An industry solutions professional who wants to work in a collaborative environment. As an experienced Data Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. PDM practitioners are local to project locations, minimizing extensive travel, and provides you with a full career path within the firm.
Work You'll Do/Responsibilities
This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You'll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.
The Team
As a part of the US (United States) Strategy & Analytics Offering Portfolio, the AI (Artificial Intelligence) & Data Operations offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.
Required
Qualifications
Work You'll Do/Responsibilities
This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You'll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.
The Team
As a part of the US (United States) Strategy & Analytics Offering Portfolio, the AI (Artificial Intelligence) & Data Operations offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.
Required
Qualifications
- A minimum of 2+ years of experience as a Data Scientist or Machine Learning Engineer, from experimentation and prototyping to deployment.
- Experience with machine learning and deep learning modeling in one or more of the following areas: anomaly detection, forecasting, causal inference, NLP, data mining or content analysis.
- Proficient in software engineering and skillful hands-on implementation with Python and Pyspark.
- Experience in design, implementation, and delivery of scalable build/test/release agile software development cycle.
- Proficient with machine learning and deep learning packages and framework.
- Experienced with big data technologies, such as Hadoop and Spark for large scale datasets. Well-versed in SQL languages.
- Ability to communicate effectively (written and spoken).
- Ability to work with the multi-location development teams and self-manage own work.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
- Limited immigration sponsorship may be available.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
