Top Data Science Jobs
The Data Scientist will design and deliver Customer Experience solutions by utilizing machine learning techniques and data analysis to solve business problems and automate processes. Responsibilities include extracting insights from customer data, implementing ML algorithms, and conducting data analysis.
Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders
The Remote Sensing AI Researcher will design machine learning infrastructure, develop algorithms and deploy models for hyperspectral imagery. Responsibilities include conducting research on AI/ML applications, mentoring colleagues, and contributing to publications. Collaboration with data scientists and software teams is essential for production transitions.
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As a Staff Data Scientist, you will analyze data, design experiments, and provide insights to influence product decisions. You will mentor team members and develop tools for scaling analyses. The role requires collaboration with product managers and engineers to enhance user experience through data-driven solutions.
The Data Scientist will lead the growth of data science capabilities, drive statistical modeling, optimize user classification systems, create lead scoring models, and collaborate with engineers and product managers to turn insights into automated services.
The Senior Research Scientist will lead analytics efforts in market access, conducting claims-based analyses and modeling to support life sciences companies. Responsibilities include contributing to business development, structuring statistical plans, mentoring junior analysts, and developing best practices.
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
As a Lead Data Scientist, you will identify opportunities for applying data science and machine learning techniques to enhance marketing, products, and processes. Collaborating with various teams, you'll drive projects related to marketing optimization and customer data analysis, while mentoring the data science team.
The role involves developing analytical methods for mRNA, gRNA, pDNA, and mAb platforms, ensuring compliance with regulatory guidelines, collaborating with cross-functional teams, and authoring development reports and protocols. Responsibilities include supporting method transfer and training junior team members.
As a Data Scientist at Epic Games, you will leverage statistical and machine learning methods to analyze gameplay data, creating insights and predictive models to influence game development and business strategy. You will collaborate with design and product teams, ensuring high-quality data is captured and utilized effectively for continuous improvement in First Party Games.
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