Data Scientist -- Solution Specialist - Hybrid

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Work you'll do/Responsibilities

• Work with data science techniques and libraries to show data's applicability to business problems
• Perform exploratory data analysis to define analytical models
• Develop advanced quantitative models using a variety of programs/software to support predictive assessments
• Provide expertise for analytical, programmatic, strategic, and operational analysis.
• Explain analytics model behavior/results in the vernacular of business.
• Perform technical risk analysis and reliability assessments.
• Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques
• Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques
• Provide recommendations for plans, programs, strategies, policies and budgets.
• Design algorithms that require a number of different models/methods to be used in an ensemble
• Deploy models into production

The Team Artificial Intelligence & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications
Required:

• 3+ years of experience and knowledge of the ML lifecycle and concepts
• 3+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions
• 3+ years of experience in developing algorithms using data science technologies to build analytical models
• 3+ years of data extraction/manipulation experience using scripts specific to AI/ML
• 3+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects
• 3+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.
• 3+ years of experience in data wrangling/cleansing, statistical modeling, and programming
• 3+ years of extensive experience working in an Agile development environment
• 3+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL)
• 3+ years of production experience with Apache Spark
• 3+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment
• 2+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access
• 1+ years of experience to have familiarity with Linux OS and Windows servers
• 1+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
• Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.
• Expected to co-locate in your designated office/USDC location up to 30% of the time
• Must live in a commutable distance to or be willing to relocate to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Previous Government Consulting and/or professional services experience
• In depth understanding of AI protocols and standards
• Understanding of technology risks and the ability to assess and mitigate them
• Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context
• Experience with debugging and troubleshooting software or solutions design issues
• Proven ability to stay current with best practices and new technology solutions in the field
• Ability to display 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)
• Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.
• Familiarity with Kubeflow or MLflow
• Experience with machine learning pipelines (Azure ML)
• Familiarity with the latest Natural Language Processing or Computer Vision related algorithms