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As a Data Scientist ML/AI, you will develop and deploy ML/AI models to enhance retail operations, focusing on personalized recommendations, inventory management, and customer interactions. You will collaborate with cross-functional teams to create data-driven solutions, optimize performance, and maintain documentation of processes and results.
The Senior ML/Research Scientist will develop wearable neurotechnologies, focusing on biosensing earbud technology. Responsibilities include conducting research, applying machine learning and signal processing, developing algorithms for neural signature detection, and collaborating with teams on clinical studies and product integration.
The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.
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As a Senior Data Scientist, you will develop and deploy machine learning solutions from ideation to production, collaborate with product teams, explore data, and enhance customer experience by utilizing ML algorithms and scalable pipelines.
As a Senior Data Scientist at F5, you will leverage your skills to develop and deploy advanced statistical models and machine learning algorithms, perform data analysis, collaborate with teams, and maintain data quality. Your efforts will impact strategic initiatives and drive business success.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.
As a Data Scientist at HiLabs, you will partner closely with a team of stakeholders to solve real problems in the healthcare domain using AI/ML techniques. Responsibilities include developing machine learning algorithms, conducting data analysis, and implementing enhancements to existing solutions.
The Sr. Data Scientist at DataRobot will act as a trusted advisor on AI for US Federal Government entities. Responsibilities include leading technical engagements, demonstrating the DataRobot product, and collaborating with customers to implement AI solutions that drive business value. The role requires expertise in machine learning and strong customer-facing skills.
The Data Acquisition Specialist will source, collect, and maintain accurate data to support semiconductor distribution. Responsibilities include evaluating data sources, implementing data collection methods, ensuring data quality, conducting analysis and reporting, and collaborating across departments. The role also promotes continuous improvement in data practices.
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