Data Scientist Salary at Prophetstor BETA

Company Description Neumarker Inc., located in the San Francisco Bay Area, is dedicated to revolutionizing the treatment of CNS disorders through its cutting-edge brain biomarker discovery platform powered by AI. By identifying predictive brain biomarkers, Neumarker personalizes treatment for each patient and accelerates drug development through efficient clinical trials. The company collaborates with drug developers, clinicians, and academic researchers to advance precision neuromedicine. Role Description This is a full-time hybrid role for a Data Scientist and AI developer in Neurophysiological data analysis at Neumarker Inc. Some remote work is acceptable. The role involves conducting neurophysiological data analysis, applying machine learning techniques and advanced statistics to develop digital biomarkers for psychiatry and neurology. Qualifications Data Science, Statistics, and Data Analysis skills Proficiency in applying advanced machine learning methods Strong programming skill

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you. Role : Data Scientist Location : Phoenix, AZ (Remote is fine) AZ is preferred Duration : 12+ Months Contract Job description: 6+ years of experience designing and developing Client models using python. Good Experience working with Time Series models like SARIMA, Prophet, RNN etc. Design and Execute back testing frameworks to validate the model Collaborate with other teams to deploy Client models into production using MLOps practice. For more information and other jobs available please contact our recruitment team at careers@tekfortune.com. To view all the jobs available in the USA

Candidate must have good statistical analysis skills. Roles & Responsibilities •Understanding of user study research in consumer electronics with qualitative and quantitative data including appropriate sample sizing •Expertise in statistical analysis using multiple data types and sources •Awareness of consumer electronic development process or phase gates methodology •Creativity in data visualization to provide quick insights into results Clearly communicates complex activities or analysis Generic Managerial Skills Excellent interpersonal, organizational, written communication, oral communication and listening skills Education BA/BS degree in Information Systems, Computer Science, or related fields.

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. Description: We are seeking a talented Marketing Data Scientist with 5+ years of experience to join our team. The ideal candidate will be responsible for analyzing large volumes of data to identify trends, develop insights, and make recommendations that will help optimize marketing strategies. They will collaborate with cross-functional teams to build predictive models. The successful

Job Duties: Design and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality, and predictive capabilities. Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis. Top Skills: - Can conduct data analysis in SQL and Python - Can summarize and communicate results to the business - Experience building predictive models in Python - Experience implementing real-time modeling in production environment in JavaScript Preferred Skills/Experience: - 2+ years of experience - Efficiency/speed - Can translate a business question into a clear analytics plan - Has been involved in a fraud detection project in the past - Has built anomaly-detection or predictive models in the past - Retail or Finance background is a plus Day-to-day Responsibilities: - Data analysis

Dew Software is seeking a highly skilled Data Scientist to join our team of digital transformation experts. As a leading player in the digital transformation space, we work with Fortune 500 companies across the globe, supporting them in their digital transformation efforts. Our mission is to drive digital innovation and transformation that contributes to our clients' continued success and growth. As a Data Scientist at Dew Software, you will have the opportunity to work with cutting-edge technologies and innovative approaches to solve complex business problems and drive strategic outcomes. You will leverage your expertise in data analysis, modeling, and visualization to bring value to our clients' business processes and decision-making capabilities. Responsibilities Design and develop advanced analytical models, algorithms, and statistical methods to support clients' business objectives Collect, process, and cleanse large volumes of structured and unstructured data from various sources

Job Description: Pay Range: $91.98hr $96.98hr Responsibilities: Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context. Scopes and prioritizes modeling work to deliver business value. pplies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models. Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation. Extracts, transforms, and loads data from dissimilar sources from across Client for model-building and analysis. Writes and documents python code for data science (feature engineering and machine learning modeling) independently. Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders. ct as peer reviewer of models and analyses built by other data scientists. Develops and presents summary presentations to busi

Description About Us Versa Networks, Inc. is a leading vendor of next-generation Software Defined solutions and architectures, called SASE (Secure Access Service Edge). Versa is providing an end-to-end solution that both simplifies and secures the WAN/branch office network. The goal of Versa Networks is to provide unprecedented business advantages through a software-based approach that allows for unmatched agility, cost savings and flexibility. We have created a feature-rich, scalable yet simple to use software platform to implement many different enterprise and service provider use cases, including: Full software-defined branch for enterprise customers. Secure SD-WAN for enterprises with layered security. Next-generation managed services for service providers. We are seeking a talented and motivated Data Scientist to join our Machine learning team. Job Summary In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and depl