Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. Sight and Sound play a large role in our day-to-day experiences.

10+ years of experience in data science, data analytics, or a related field, preferably within financial services, consulting, or internal audit. Certified Analytics Professional (CAP), Data Science Council of America (DASCA) and/or audit-specific certifications (CIA, CISA, CFE) a plus.

Experience or interest in data science, machine learning, artificial intelligence, wireless communications, sensors, semiconductors, Internet of Things, Ior related fields. Patent Specialist - IP PatentsLocation: Atlanta, GA | Charlotte, NCAn AmLaw 50 international law firm's Intellectual Property – Patents Group is looking for a Patent Specialist with a background in computer science or electrical engineering.

Comprehensive benefits package, including medical, dental, vision insurance, 401(k) plan, personal medical and parental leave, paid holidays, dependent care, elder care, concierge services, financial and physical well-being, and personal health advocacy programs, and various corporate discounts.

Candidate Profile: Bachelor’s Degree or higher in Electrical Engineering, Computer Engineering, or Computer Science is preferred. Receive training and development that could lead to becoming a licensed patent agent by the United States Patent and Trademark Office (USPTO.

Motivated individuals who are looking for a career path to becoming a licensed patent agent with the United States Patent and Trademark Office (USPTO). Opportunity to join a leading Intellectual Property team at a top national law firm.

The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.

Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Drive innovation and continuous improvement in data science methodologies and practices within the organization.

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.

The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.

Knowledge of secure coding practices, encryption algorithms, GDPR and PCI-DSS compliance and data protection mechanisms relevant to handling sensitive financial data in mobile and web applications.

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.

Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.

The ERSEA/DATA Specialist, in collaboration with Early Education Site Directors and under the guidance of the Head Start/Early Head Start Director is responsible for the development and implementation of all ERSEA requirements as outlined in the Head Start Program Performance Standards.

While you will not have formal line management responsibilities, as a principal you will be expected to lead, mentor others, and deputize for the director of data engineering when required.