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The Senior Data Scientist will support financial regulatory clients by providing analytical expertise throughout the data science lifecycle. Responsibilities include engaging with user communities, coordinating user stories, overseeing quality management programs, developing predictive analytics models, and delivering internal analytics for performance metrics and cost estimation.
The Senior Data Scientist will contribute to machine learning research, focusing on developing algorithms for neurological insights and gesture classification. Responsibilities include coding in Python, performing data mining and analysis, collaborating with cross-functional teams, and mentoring junior team members. The role will also involve benchmarking models and participating in data collection experiments.
The Senior Data Scientist will implement technical solutions for identifying complex patterns in large data sets, using AI/ML tools to develop and maintain data pipelines while collaborating with product teams. They will ensure compliance with security policies and create robust cloud-based data solutions, all while fostering a positive team culture and mentoring colleagues.
As a Senior Data Scientist, you will develop and operationalize ML-based forecasting models for financial metrics, analyze time-series data, automate solutions, and provide insights using statistical methods to drive business decisions.
The Junior Data Scientist Cohort at Koddi focuses on training recent graduates in machine learning and data science applications. Responsibilities include collaborating with team members to develop scalable machine learning models, conducting A/B tests, and documenting work processes while participating in leadership workshops.
As a Staff LLM Data Scientist, you will design and fine-tune LLMs, build advanced Retrieval Augmented Generation pipelines, implement evaluation frameworks, and deploy models into production. A strong focus on generative AI applications in investment is needed, alongside collaboration with product and engineering teams.
The Data Scientist will develop and implement advanced forecasting models, primarily using Python and cloud technologies like Microsoft Azure or AWS. Responsibilities include data analysis, mentoring junior staff, collaborating with teams, and ensuring ethical data use. The role requires strong problem-solving skills and the ability to work independently on complex projects.
As a Data Scientist at Micron Technologies, you will analyze large datasets related to semiconductor manufacturing to derive insights. You'll develop predictive models, perform anomaly detection, and collaborate with engineers to improve product yield and quality, while also creating visualizations to communicate your findings effectively.
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As a Senior Data Scientist, you will define marketing strategies, set KPIs, improve marketing measurement, analyze data trends, and create lead scoring models to enhance user acquisition and retention efforts.
The Data Scientist III will develop and deploy production-quality Python code within a cloud-native architecture, automate processes, and leverage AI/ML algorithms. Responsibilities include data manipulation, collaboration, and contributing to project completion while ensuring attention to detail and quality.
The Data Scientist will analyze and visualize large data sources to support intelligence operations and provide extensive reports and recommendations for project improvements. Responsibilities include developing presentations, leading analytic studies, and utilizing advanced analytical tools for data extraction and analysis.
The Senior Data Scientist will apply machine learning and deep learning techniques to drive business impact. Responsibilities include analytical modeling, deep learning, model assessment, validation, deployment, and data visualization, while collaborating with teams to generate actionable insights across the organization.
The Senior Data Scientist will lead data analysis and model development projects within the Data Science team, involving the design and deployment of predictive models and machine learning algorithms. Responsibilities include executing data science strategies, collaborating with stakeholders, validating models, and communicating insights effectively.
As a Data Scientist, you'll analyze real-time sensor data using statistical and deep learning methods to provide actionable insights, model signals for asset tracking, and collaborate with product leaders to enhance analytics-driven solutions.
As a Lead Data Scientist, you will extract insights from large datasets and develop predictive models. You will drive data-driven decisions, collaborate with teams to identify opportunities, and solve complex problems by applying statistical techniques and machine learning algorithms.
The Staff Data Scientist will own all aspects of data science within products, design and build machine learning models, develop data pipelines, and provide insights for stakeholders. This role involves mentoring junior scientists and staying updated on industry trends. Excellent communication skills and a PhD in a quantitative field are required.
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As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
The Data Scientist will support the US Sales Operations team by analyzing data to generate insights for revenue generation and loss prevention. Responsibilities include developing analytical models, visualizations, and dashboards to drive business strategies and optimize sales performance, using advanced techniques across varied data sources.
The Data Scientist/Sr. Data Scientist is responsible for analyzing marketing performance, generating insights, and building dashboards to measure marketing effectiveness. This role involves collaboration with the marketing team to foster a culture of testing while identifying automation opportunities to drive revenue.
The Senior Data Scientist at Resonate will develop and deploy machine learning models and neural networks at scale to deliver predictive analytics across various domains. Collaborating with ML engineers, your role involves building data pipelines, ensuring model governance, and fostering innovation within the product team while maintaining ethical machine learning practices.
The Senior Data Scientist at Walmart Connect will develop predictive models and provide insights to drive advertising strategies. Responsibilities include conducting complex analyses using Python and SQL, designing experiments, integrating data, and communicating findings to stakeholders. A collaborative approach with cross-functional teams is essential to deliver actionable insights for marketing optimization.
The Senior Data Scientist will lead the development of a recommendation engine to enhance user engagement with personalized yoga and meditation content. Responsibilities include strategizing, designing machine learning models, collaborating with cross-functional teams, analyzing data for insights, and mentoring team members while ensuring system performance and scalability.
The Senior Data Scientist will develop hypotheses, execute experimental methods, and derive actionable insights from data. Responsibilities include providing recommendations based on various data types, collaborating with eCommerce and Digital Marketing leaders, and ensuring reporting solutions meet business needs. This role requires expertise in statistical methods and predictive modeling to drive strategic decisions.
As a Principal Data Scientist, you will lead the development of advanced data analytics and machine learning solutions in the healthcare sector. Your role involves using large datasets to drive insights that improve consumer behavior and enhance business operations in collaboration with cross-functional teams.
The Senior Data Scientist will lead initiatives using data mining and advanced modeling techniques to provide insights for DTN’s customers in agriculture, oil, gas, and weather sectors. Responsibilities include implementing predictive models, conducting feasibility studies, and creating visualizations to communicate results while collaborating with stakeholders to address their needs.
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