Data Scientist Salary at Xome Inc BETA

MUST LIVE IN THE TX AREA..... NO SPONSORSHIP PROVIDED OF ANY KIND.... We are seeking a highly skilled and motivated AI Specialist to join our dynamic team. The AI Specialist will be responsible for leveraging artificial intelligence to enhance business processes, streamline decision-making, and improve customer service both internally and externally. This role requires a strong background in IT, with hands-on experience in data analytics and project management. The ideal candidate will have a track record of successfully implementing AI solutions in a business context. Key Responsibilities Develop and implement AI strategies to optimize business operations and enhance decision-making processes. Analyze large data sets and create comprehensive reports using data tables to support data-driven decision making. Collaborate with cross-functional teams to integrate AI technologies into various business functions, including customer service, marketing, and operations. Identify opportunities f

Good experience deploying models in Production. • Another with PyTorch/TorchLighting knowledge to help us build/edit models. • Ex-Telecom Projects Plus • Deploying experience is must • Work with a focus on MLOps

Senior Data Scientist Location: Hybrid (Fort Worth, Ann Arbor), OR Remote Travel: At least 4x per year to collaborate with teams Salary: $145,000 - $165,000 (based on experience, ~5 years experience around $150-$160k) About the Role: We are seeking a talented Senior Data Scientist to join a dynamic and fast-paced team at a leading global technology company specializing in commerce media. In this role, you will be instrumental in solving complex challenges in adtech by building and deploying machine learning models and statistical algorithms to optimize large-scale data systems. You'll work alongside cross-functional teams to create data-driven solutions that drive business growth, enhance user experience, and improve targeting and optimization processes across digital platforms. Key Responsibilities: Develop scalable machine learning models, classifiers, and tools using regression, machine learning, and optimization techniques Design and deploy production-grade models on large data set

About Us Ayass BioScience is at the forefront of integrating artificial intelligence with advanced molecular analysis to revolutionize precision medicine. Our cutting-edge F420 platform combines AI-driven insights with innovative therapies, including our proprietary HEATT® hyperthermia treatment technology for cancer. Position Overview We are seeking an innovative AI Data Scientist to develop and implement both generative and agentic AI systems for complex data analysis workflows. The ideal candidate will have strong expertise in both approaches and the ability to create powerful hybrid solutions that transform our approach to data analysis and precision medicine. Key Responsibilities Design and implement both generative AI models and agentic AI architectures for data analysis Develop hybrid systems that leverage the strengths of both generative and agentic approaches Create generative models for pattern recognition and content generation from complex datasets Build autonomous agents c

Blue Yonder Job Title: Chief Data Scientist Location: US - Remote Summary: Blue Yonder is a leading provider of AI-driven supply chain management solutions. We empower businesses to optimize their operations through cutting-edge technology and data-driven insights. We are looking for a dynamic and experienced Chief Data Scientist (CDS) to join our leadership team. In this senior role, you will be responsible for shaping and overseeing our data science strategy, aligning it with business objectives, and driving data-driven decision-making across the organization. You will work closely with both internal teams and customers to articulate our data science services, ensuring they deliver measurable value. Scope: This role requires a blend of deep expertise in data science, analytics, supply chain knowledge, and customer relationship management. You will lead the development of advanced machine learning models and data solutions that directly support organizational goals, while ensuring tha

Job Summary: Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas. Duties: Lead and execute data science projects, delivering innovative technical solutions that drive improved business outcomes Design, develop, and validate machine learning and statistical models to ensure optimal performance and scalability Collaborate closely with machine learning engineers to deploy models in both real-time and batch processing environments, and monitor model performance over time Support strategic discussions with key business stakeholders by providing data-driven insights and identifying opportunities for growth and optimization Build and maintain strong relationships with cross-functional teams to ensure alignment and collaboration across the business Serve as a subject matter expert in machine learning and predictive modeling, providing guidance and expertise across projects Stay current with emerging trends by actively researching new theories, m

Description Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the worlds most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. AWS Global Services Capacity Planning team is looking for a strong, talented Data Scientist to model contact and

About the job Entry Level Data Scientist Job Location United States of America (USA) Experience 1 - 4 yrs Job Description Bachelors Degree in a quantitative field required with minimum of 1 year of experience; Masters degree preferred. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts and experience with applications. Ability to write clean and concise code, especially in R or Python. Keen eye for detail and thoughtful investigation of data before relying upon it. Ability to work in a professional, confident manner. Sound prioritization and time management skills. Intuition for data science best practices, stemming from proven experience.