neural networks Jobs in texas

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Senior Data Scientist (Product)

Eliassen Group

Anywhere, US

Contract

Description: **100% Remote** Our client, an industry leader in financial services and money transfers, has an excellent opportunity for a Senior Data Scientist (Product) to work on a 6+ month contract. Work will be remote, candidates local to Denver preferred. The Senior Data Scientist will lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, eva

Senior Solution Architect (Salesforce)

Marathon Petroleum Company

San Antonio, Texas, USA

Full-time

An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Position Summary We are seeking an experienced and strategic Salesforce Solution Architect to lead the design and implementation of robust, scalable Salesforce solutions. This high-profile role combines technical expertise with strategic thinking to align technology with business

Lead Data Scientist - Insurance

Guardian Life Insurance Company

Remote or New York, New York, USA

Full-time

Lead Data Scientist Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). This role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolut

Senior Data Scientist

Johnson & Johnson

Remote or Hopewell Township, New Jersey, USA

Full-time

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn m

Data Scientist

General Motors

Austin, Texas, USA

Full-time

Job Description The Role General Motors is seeking applications for highly motivated and qualified individuals for the position of Scientist. This is a unique opportunity to join a multi-disciplinary team of experienced individuals who will drive the design, development, and deployment of advanced statistical and mathematical solutions running the gamut across the technological spectrum. The team is responsible both for analytics strategy and project-based solutions, focusing on the company's mo

Sr. NLP Data Scientist/Machine Learning Engineer

Satsyil Corporation

Remote

Full-time

Role: Sr NLP Data Scientist/Machine Learning Engineer. Location: 1775 Tysons Blvd, VA Duration: FTE. Job Description: They will play a role as an expert consultant to federal agency partners, develop project plans and manage delivery activities, providing leadership and influencing adoption of technical AI/ML solutions. Evaluate the integration of Artificial Intelligence (AI) solutions into next generation tools and processes to enhance technology solutions to support continuous improvements and

Data Scientist AI/ML

InfoVision, Inc.

Irving, Texas, USA

Third Party, Contract

Job Title: Data Scientist AI/ML Job Duration: 12 month Job location: Irving, TX Responsibilities: Develop new AI/ML models with little to no supervision off of data acquired directly from business partners;Mentor other team members and data analytical groups;Take the lead in developing innovative advanced analytical solutions for complex application problems;Position requires the development of advanced graphic visualization concepts to map and simplify the analysis of heavily-numeric data and