Today
Top Secret
Unspecified
No Traveling
Unspecified
Management
Honolulu, HI (On-Site/Office)
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
As a Data Science Manager, you will be part of a fast-paced team that will support data analysis and visualization, process improvements, financial management, and workforce development. The Data Science Manager will:
The team
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 deliver 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.
Qualifications
Required:
Preferred:
How you'll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
#LI-EW1
Work you'll do
As a Data Science Manager, you will be part of a fast-paced team that will support data analysis and visualization, process improvements, financial management, and workforce development. The Data Science Manager will:
- Lead the execution of data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
- Work with Python and deliver in an Agile environment
- Lead research and analysis into massive quantitative and qualitative datasets, applying advanced machine learning techniques (clustering, forecasting, NLP, graph analytics, and more) to extract actionable intelligence that drives mission-critical decisions
- Lead the analysis new processes, systems, and emerging technology to prevent inefficiency and support the mitigation efforts of cyber threats
- Assist in the development of leadership insights that will drive informed decision-making using integrated data analytics and domain knowledge
- Manage and mentor junior Data Scientists on the team
The team
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 deliver 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.
Qualifications
Required:
- 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
- Active Top Secret with SCI eligibility (TS/SCI) security clearance required
- 8+ years experience implementing supervised and unsupervised machine learning algorithms.
- 8+ years experience with building artificial intelligence technologies, NLP
- 8+ years experience executing data science methodologies using common programming/scripting languages, such as Python, Java, Scala, and R.
Preferred:
- Previous Federal Consulting and/or professional services experience
- Applied knowledge of AWS/cloud development and solutions architecture
- Displays both breadth and depth of knowledge regarding functional and technical issues
- Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)
How you'll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
#LI-EW1
group id: 10106525c
