Principal Data Scientist

Hi There, I am Mahmood Bafana – Senior Talent Acquisition Specialist with Technogenic, we are looking to hire a Talented Professional with below skill set to work with one of our clients and came across your profile and wondering if you might interested or exploring the job market, if so, Please share me your resume at Bafana.m@technogeninc.com Position: Principal Data Scientist Location: Remote Duration: Contract ONBOARDING/ CLEARANCE PROCESS: CLient does require fingerprinting, and it would be ideal if they could come onsite to do this but if they are outside of the DMV, fingerprint cards would be mailed to them. Mailed fingerprints delays clearance processing time and you are looking 3-6 weeks for candidate to start from offer. Description: • Seeking an innovative, hands-on development oriented, data scientist with eight years’ experience in AI/ML/NLP and data modeling to develop prototypes of emerging technologies that solve business problems. This resource will join an energetic and versatile team responsible for addressing the customer challenges through the use of advancing technologies. This is a remote job that can be worked from any location in the continental U.S. • Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies. • Develop end-to-end plans for AI/ML/NLP innovations that are compliant with cybersecurity policies. • Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities. • Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications. • Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems. • Make low risk plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices • Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions. • Conduct exploratory data analysis and generate actionable insights from large and complex datasets. • Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development. • Develop reusable code libraries and best practices for modernization and innovation development and deployment. • Mentor more junior data scientists and guide the team in adopting new technologies and techniques. • Stay current with advancements in data science, machine learning, and AI research. • Support Agile product teams in emerging technologies and data strategies. • Analyze data and usage to find patterns and solutions to business challenges. QUALIFICATIONS AND SKILLS: • MA/MS degree and 8 years or more of experience in data analytics, data modeling, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google). • Masters’ degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. • Minimum 8 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role. • Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations? • Candidates must have lived in the United States continuously for the last 2 years • Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment. • Strong communication and teamwork abilities. • Programming Languages: Python, R, SQL • AI, ML, NLP Frameworks, models, and tools • Machine Learning & Statistical Tools PyTorch • Experience with Frontier models • Experience with Databricks • Data Manipulation & Analysis • Visualization Tools Tableau, Power BI • Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP • Version Control & Collaboration: Git, Docker • Suitable combination of education, training, or experience maybe substituted for education. OTHER DESIREABLE SKILLS • Experience with MLOps, model monitoring, and deployment pipelines. • Experience with NLP, computer vision, or deep learning techniques. • Experience with Agile and the Rally Agile management tool.