HUD Data Scientist Solution Architect Job
SAIC
View all jobs from this company

<< Go back

      
Post Date: Feb 28, 2019
Job Type: Full time
Start Date: - n/a -
Salary: - n/a -
Location: US - Virginia - Reston
Job Reference: T444489
APPLY NOW
    Email Job to a Friend
    Save Job to Inbox
    Printer Friendly

Description
HUD Data Scientist Solution Architect   (Job Number:444489)

Description:



HUD Center of Excellence Data Scientist/Solution Architect plays a leadership position in the data science department and is responsible for overseeing activities of the junior data science team ensuring proper execution of duties and alignment with the business’s overall vision. The Data Scientist is responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision-making.

The Data Scientist proactively works with business executives and various departmental heads across the business in order to provide advanced analytic data modeling systems. The Data Scientist designs and launches innovative and complex analytic models, utilizing a blend of contemporary and traditional data mining techniques, which is applied to both structured and unstructured data sets.

The Data Scientist leads the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.

Position Description:

Leadership/Supervisory Role: This is a leadership position responsible for playing the role of leading innovation within the business and, as such, defining how the business creates additional value through the utilization of its data assets and analytics.

The Data Scientist is tasked with consistently identifying and monitor key business risks and realizing the data needs of the business. The Data Scientist oversees all data science proposal activities ensuring alignment with market segment and subsegment vision and strategies.

In this position, it is also the Data Scientist’s role to drive education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics.

This is an Engineering position, which will provide for Research and Development activities in areas such as enterprise deployment of deep neural networks, integration with big data analytics platforms including Apache Spark, Apache Hadoop and SAIC analytics products as an example.
-    Develop functionality in an agile fashion, with regular releases
-    Learn new technologies and techniques from efficient GPU programming, C, CUDA, Python and Java code
-    Design and develop analytics solutions and products for production use
-    Prototype new technologies and approaches to assess alternatives
-    Work as part of an agile team, delivering new functionality on a regular cadence
-    Work in a collaborative and fast-paced fun team environment with effective communication and assisting peers. Be an asset and contributor to the team.
-    Contribute to designing and building our next generation architecture/ platform for Machine and Deep Learning
-    Work with a group of Machine Learning engineers, data scientists and product management
-    Distill business objectives into technical solutions through effective system design and architecture
-    Show ownership and completion for delivery of technical functions
-    Provide technical and analytical solutions to evaluate the merits and challenges of a product idea
-    Perform high complexity integration testing, distributed development and validate integration

Required Experience and Skills

- Overall 14+ years of experience managing or supporting in a significant role, the acquisition, integration, and acceptance lifecycle of one or more complex computational systems or system upgrades in a mission critical or production R&D computational environment.

- 3+ years of full time programming experience within an operations or technical department.

- Understanding of programming concepts and application development. In-depth understanding of one or more computational technical areas such as advanced modeling and simulation.

- Domain knowledge in artificial intelligence and machine learning

- Demonstrated ability to manage complex projects, creating innovative processes and solutions

- Problem solving and analysis skills

- Strong written and verbal communication skills including the ability to present

- Hands on experience with machine learning algorithms, NoSQL implementations, and GPU programming

- Experience working for federal agencies in a consulting position

- Experience specifying user-representative requirements for complex computational environments

- Experience developing and evaluating different machine learning models based on accuracy, precision & recall metrics.

- Experience in natural language processing (NLP).

- Experience working with cloud platform like AWS or Azure.

- Experience working with SQL on relational databases like MySQL & Postgres.

- Knowledge of working with markup languages like HTML or XML, and desire to learn Tact Dialog Language (TDL) & Tact Response Markup Language (TRML).

- Knowledge of Java, Groovy or any other scripting language.

- Experience with Web Services integration using REST APIs.

Education:

- BS is required. BS, MS or Ph.D in Computer Science, Engineering, Mathematics, Science or other related technical discipline is preferred.

Clearance:

Must be a US Citizen and able to obtain a Public Trust

Qualifications:

TYPICAL EDUCATION AND EXPERIENCE: Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience. SAIC Overview:SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

Job Posting: Feb 21, 2019, 4:03:26 PM
Primary Location: United States-VA-RESTON
Clearance Level Must Currently Possess: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Teleworking: No
Travel: Yes, 10% of the time
Shift: Day Job
Schedule: Full-time