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Top Principal Data Scientist Jobs in Austin, TX
As a Principal Data Scientist at Self Financial, you'll lead the development of machine learning models to enhance financial inclusion. Responsibilities include feature engineering, collaborating across teams, and establishing data science standards to positively impact product and marketing efforts.
The Senior Data Scientist at Iodine will analyze complex healthcare data using machine learning techniques, lead multiple projects, mentor junior team members, and collaborate with technical and business teams to develop innovative solutions that drive healthcare innovation.
As a Part-Time Student in Data Science and Analytics, you will support analytics projects, clean and analyze data, and present actionable insights. Collaboration with team members and stakeholders is essential for delivering data-driven solutions.
As a Senior Data Scientist at findhelp, you will lead analytical projects and build predictive models while collaborating with clients and cross-functional teams to create data-driven solutions. Your role involves ensuring project success through strong communication and applying business acumen to leverage data insights for impactful decision-making.
The Senior Data Scientist will analyze user behavior to drive business growth and revenue optimization by working closely with engineering and product teams. Responsibilities include conducting deep analytical dives, developing personalized segmentation strategies, monitoring experiments, and creating dashboards to report on key business metrics.
The Senior Data Scientist will focus on providing insights and analysis to optimize Babylist's fulfillment and operations, working closely with product and business leaders to improve processes and revenue generation through data-driven decisions.
The Strategic Data Science Lead will drive innovative initiatives and strategic planning using data-driven approaches. Responsibilities include data collection, exploratory data analysis, model development, feasibility analysis, and stakeholder engagement to support strategic initiatives and enhance organizational growth.
The Senior Data Scientist develops models and performs analyses to improve business operations and support organizational goals. Responsibilities include managing data pipelines, statistical and machine learning models, and collaborating with data and business teams.
The Principal Data Scientist will design, enhance, and build advanced fraud detection solutions, utilizing machine learning and data mining techniques. Responsibilities include developing management information systems, collaborating with stakeholders on technical data problems, and mentoring team members. The role focuses on improving Visa's payment ecosystem and delivering insights for strategic initiatives.
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The Data Scientist will analyze large datasets to identify patterns and optimize performance. Responsibilities include automating data collection, preprocessing data, creating predictive models, and collaborating with engineering and product teams to develop solutions for business challenges.
The Sr. Data Scientist will analyze and improve user privacy and integrity initiatives through data insights and analytics. Responsibilities include developing dashboards, collaborating with product and engineering teams, performing data analysis, and creating A/B tests. The role focuses on safeguarding user privacy while supporting product initiatives.
As a Data Scientist II at Oscar, you will leverage AI and ML to enhance member engagement, develop analytics, and manage data pipelines and statistical models with minimal oversight. You may mentor junior staff and collaborate with different teams to deliver analytical solutions.
The Senior Manager, Data Science will lead a team of three Data Scientists, managing projects focused on strategic analytics, modeling, and performance measurement. The role requires collaboration with clinical programs and stakeholders to enhance healthcare delivery while driving cost efficiency. Responsibilities include developing data pipelines and models, along with participating in longer-term strategy planning.
The Data Scientist will be responsible for designing experiments, monitoring key metrics, analyzing dashboards, building data sets, and making proposals for future projects. The role involves exploratory data analysis, user behavior modeling, and maintaining data infrastructure using Spark and SQL for analyses and pipelines.
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