In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.
Work you’ll do
Deloitte is looking for a Senior Data Scientist to join our team. Some of the responsibilities included below:
- Managing and analyzing large genomic databases from epidemiological and clinical studies.
- Data manipulation, algorithmic implementation, statistical programming, and integrated genomic analyses.
- Installing, troubleshooting and running analytical pipelines using open-source and commercial scientific software on Unix/Linux and Cloud-hosted platforms, and using publicly available bioinformatics and genomic databases and tools.
Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
The GPS AI & Data Engineering (AI&DE) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.
- Bachelor’s degree required
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Must be eligible for a US Security Clearance
- 5+ years experience implementing supervised and unsupervised machine learning algorithms.
- 5+ years experience with building artificial intelligence technologies, NLP
- 5+ years experience executing data science methodologies using common programming/scripting languages, such as Python, Java, Scala, and R.
Preferred: Experience leveraging data analysis to construct compelling narratives. Familiarity with AWS/cloud development and solutions architecture. Experience extracting features from data stored in a wide range of possible formats, including JSON, XML, raw text logs, industry-specific encodings, and graph link data. Experience executing data science method using parallel computing frameworks (e.g., deeplearning4j, Torch, Tensor Flow, and distributed data processing frameworks (e.g. Hadoop and Spark). Familiarity with and experience developing in Govt cloud environments (C2S, ICGC), Custom Application Development Windows, and Admin/Scripting. Familiarity with Relational Databases and Querying languages (SQL. CAML). Comfortable with Agile Methodology / SCRUM development, JIRA, Confluence. Experience with graph databases a plus. Experience with statistical methodologies a plus
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