Top Data & Analytics Jobs in Austin, TX

The NISA Intelligence Analyst ISA II-A position involves providing intelligence analyst support services focusing on crimes involving the US Mail. Responsibilities include data collection, analysis, reporting, and providing operational efficiencies through statistical analysis and database queries.

Seeking a Principal Cyber Data Scientist with 6+ years of experience in data science, machine learning, and cybersecurity. Responsibilities include identifying suspicious behaviors, improving alert triage workflows, and collaborating with various teams to implement data science initiatives. Must have a passion for solving business challenges with data science and mentorship.

Beam Impact is seeking a Data Strategy Lead to analyze ROI, lead data analysis & product optimization, manage key projects, provide operational support, and lead client engagement. The ideal candidate will have at least 2 years of experience in data analytics, proficiency in SQL & Excel, and strong communication skills.

The Data Entry Team Lead is responsible for training team members, setting strategies, and monitoring progress towards the team's goals in a 100% remote work environment. The role requires at least 2 years of BPO experience, strong communication skills, attention to detail, and the ability to lead and motivate team members.

The Senior Pricing Analyst will develop winning cost/price proposals, lead proposal development activities, mentor junior employees, and ensure compliance with government contracting principles. Required qualifications include a Bachelor's degree and 8+ years of related experience in government contracting, pricing analysis, and proposal development. Proficiency in Microsoft Office tools, FAR/DFAR knowledge, and the ability to model business cases are essential. U.S. Citizenship is required.

Lead the design and implementation of the next generation architecture for the Calix Cloud Data Platform. Develop standards for database design, data modeling, and data governance. Provide technical leadership in data engineering and software design to ensure stability, reliability, scalability, and security. Collaborate with cross-functional teams to design cohesive data models and storage solutions.

Join a team of applied research scientists specializing in generative models and deep learning. Responsibilities include overseeing the research process, collaborating with the team, contributing to the research roadmap, mentoring team members, and owning the research function of specific product features. Challenges include using deep learning for media creation and editing, creating realistic voice doubles, synthesizing photo-realistic videos, and developing new algorithms for media synthesis.