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As a Senior Associate, Data Scientist at Capital One, you will collaborate with data scientists, software engineers, and product managers to build machine learning models that enhance customer management decisions. You will leverage technologies like Python and AWS to analyze large data sets, focusing on model development and deployment while translating technical complexities into business objectives.
The Data Scientist will perform data analysis, evaluate machine learning algorithms, and develop advanced algorithms. Responsibilities include algorithm transition to software applications, collaboration with teams and stakeholders, and researching new methods for data analysis and machine learning.
The Software Manager for Data Analytics leads a team in transforming data into actionable insights, designs visualization systems, and communicates with decision-makers. Responsibilities include optimizing data strategies, managing team performance, and ensuring data privacy compliance. The role necessitates a successful track record in program management and effective interpersonal skills.
The Software Manager for Data Analytics will lead data engineering and data science initiatives, mentored by guiding team members and facilitating communication with the Product Owner and customers. Responsibilities include developing strategies for data pipelines, adhering to standards, and overseeing project execution. Ensuring successful data transformation and loading processes is also key, along with managing a technical team's performance.
As a Principal Associate Data Scientist, you'll lead the development of machine learning models to enhance customer management decisions at Capital One. You will collaborate with engineers and product managers to utilize technologies like Python and AWS to extract insights from large datasets, build and implement models, and ensure a seamless user experience.
As a Principal Data Scientist at Atlassian, you will collaborate with cross-functional teams to address business challenges using quantitative analysis and statistical methods. You'll develop hypotheses, measure key product metrics, and communicate insights through storytelling, ultimately influencing product development and strategic decisions.
In this role, you will work with distressed companies, creating ETL workflows, statistical models, and visualizations. You'll analyze data, optimize machine learning classifiers, and build effective ETL processes while collaborating with diverse teams to solve complex data challenges.
As a Data Scientist II, you will contribute to analytic teams, manage data on the cloud, and improve ML models while mentoring junior scientists. Your role involves data manipulation using Snowflake and AWS, big data processing with Hadoop and Spark, and creating visualizations with PowerBI.
Featured Jobs
The Senior Data Scientist at CarGurus will implement and train machine learning models, develop data pipelines, evaluate model performance, and support A/B testing for the Data Science team's projects. They will collaborate with engineers and other stakeholders to design and implement machine learning solutions, communicating findings effectively to varied audiences.
As a Principal Data Scientist at Overjet, you will lead analytics initiatives, collaborate with cross-functional teams, and provide actionable insights to enterprise customers using data-driven strategies, leveraging Python, SQL, and data visualization tools.
The Sr. Data Scientist will create and enhance fleet management practices, develop simulation experiments, and assist in identifying key metrics for supply chain effectiveness, while collaborating across teams to leverage operational research in improving business impact.
As a Senior Manager, Data Scientist at Capital One, you'll lead a cross-functional team to build machine learning models that enhance customer management. You'll utilize a broad tech stack, develop models through all phases, and translate complex data insights into actionable business decisions.
The Mid-level Data Scientist at BAE Systems will conduct data analytics and engineering in a classified environment, creating data packages, extracting features from varied data sources, and leveraging algorithms for text and audio analysis, while adhering to classification guidelines.
As a Staff Data Scientist, you will lead science projects from inception to deployment, working with teams to develop and optimize machine learning models and pipelines, and communicate findings to stakeholders. Your role involves advanced mathematical application, the development of AI solutions, and model evaluations.
The Senior Data Scientist will independently explore and analyze data to identify optimization opportunities in logistics, patient engagement, and population health. Responsibilities include supporting data inquiries and designing A/B experiments. The role aims to enhance healthcare delivery through data-driven insights.
The Modeler role involves developing predictive models using machine learning techniques, presenting analytical results to management, and driving data science solutions. The position requires innovation in modeling techniques and a strong understanding of statistical principles to enhance analytical capabilities.
As a Senior Associate Data Scientist, you will collaborate with cross-functional teams to develop machine learning models, translating complex data into actionable insights. You will own the entire model lifecycle, from development to implementation, leveraging technologies like Python and AWS to drive data-driven decision-making for customer management.
As a Senior Associate Data Scientist at Capital One, you'll develop and implement machine learning models, collaborating with cross-functional teams to extract insights from large volumes of data. You will manage the full lifecycle of the models and modernize them for enhanced user experience.
As a Senior Manager, Data Scientist at Capital One, you will lead a team in developing machine learning models for customer management, collaborating across various teams to deliver impactful data-driven solutions. You will leverage advanced technologies to analyze large data sets and enhance user experience through innovative and low-touch model deployment.
The Data Scientist will collaborate with product managers, designers, and engineers to create innovative experiences using data science techniques. They will focus on developing algorithms, improving core systems, and measuring impact to enhance the Jellyfish platform while working in a collaborative environment.
The Senior Data Scientist will innovate in operations performance, forecasting, and data analysis for dispatching efficacy. Responsibilities include managing end-to-end data science projects, validating results, and communicating insights effectively to various stakeholders.
As a Staff Data Scientist, you will lead scientific projects from conception to deployment, utilize machine learning and statistical techniques for marketing solutions, create generative AI applications, and collaborate with cross-functional teams to improve model performance and address business challenges.
As a Data Scientist at Kikoff, you will collaborate with cross-functional teams to enhance customer financial security. You'll analyze data to influence product development, create analytical models, and communicate insights effectively through data storytelling.
As a Data Scientist, you will collaborate with business leaders to tackle product challenges using predictive analytics, improve data quality, and align analysis efforts with strategic goals. You will define and implement machine learning models, analyze data trends, and mentor the team in Austin.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to thought leadership through research and publication. You will work collaboratively with a team to create impactful solutions for client challenges.
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