Top Data Science Jobs in Hampton Roads, VA
The Mid-Tier Database Administrator (DBA) manages and optimizes Oracle databases, supports middleware environments, develops Shell scripts, and conducts performance monitoring and tuning. The role involves ensuring security compliance and providing troubleshooting support for database and middleware issues.
As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.
The Senior Data Scientist will develop advanced Machine Learning solutions for cybersecurity scenarios like threat detection and malware analysis. Responsibilities include end-to-end ML product development, addressing model issues in production, and collaborating with other data scientists.
As a Sr. Data Scientist, you will design and develop AI-based video analysis products, conduct algorithmic research, optimize algorithms for real-time use, and collaborate with cross-functional teams on AI product roadmaps.
As a Staff Engineer in Data Science, you will leverage your extensive experience to implement machine learning solutions, mentor team members, and transform business requirements into technical designs. You will define architecture, develop solutions on cloud platforms, and ensure best practices in code quality and design while collaborating with clients and developers.
The Senior Staff Engineer in Data Science is responsible for writing and reviewing high-quality code, designing technical solutions for client needs, mentoring team members, and ensuring best practices in software architecture and design. They should possess strong data science skills, including data analysis, SQL, and expertise in machine learning and cloud technologies.
As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.
As a Senior Data Scientist, you will analyze complex datasets to optimize product performance, create data visualizations, collaborate with product teams, and communicate insights for strategic decision-making. Your role includes working closely with engineering to ensure data integrity and analyzing customer behavior to drive product improvements.
The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.
The Data Scientist will design and deliver Customer Experience solutions by utilizing machine learning techniques and data analysis to solve business problems and automate processes. Responsibilities include extracting insights from customer data, implementing ML algorithms, and conducting data analysis.
The Senior Speech Scientist will design and deliver customer experience solutions by developing grammar for speech-enabled IVR applications, acting as a subject matter expert in speech recognition, and supporting sales with relevant proposals.
phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.
Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders
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