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As a Staff Data Scientist, you will translate customer goals into data-driven solutions, using machine learning and statistical practices to enhance product accuracy and usability. You will work in cross-functional teams to analyze data quality, develop techniques for anomaly detection, and contribute to data product development.
The Principal Data Scientist will lead business plans and projects by analyzing operational needs, developing technical solutions, and leveraging analytics. Responsibilities include code development in SQL, Java, C++, and Python, data source identification, quality checks, and analyzing customer data to create impactful solutions. The role also involves conducting tests, creating dashboards, and guiding junior associates on data quality.
The Senior Staff Engineer - Data Scientist will perform data analysis on large datasets, develop and deploy optimization models, and communicate insights to stakeholders. They will work with engineering and product development teams to identify data sources and automate collection processes while engaging with business requirements.
As a Senior Data Scientist at Roku, you'll analyze user engagement with Sports content, create data pipelines, define KPIs, and collaborate with product and engineering teams to enhance features and drive user adoption. Your role involves A/B testing, statistical modeling, and delivering insights to stakeholders.
As a Data Scientist II at Comcast, you'll work on deploying and improving data analytics products for Syndication Insights. Your focus will be on ensuring the accuracy and timeliness of billing data, collaborating with stakeholders and partners, and using advanced statistical methods and machine learning techniques to analyze data and provide actionable insights.
The IT Data Scientist II will design and develop scalable AI and machine learning solutions, conduct research to build predictive models, and analyze data to derive insights for business decisions. The role includes coding in SQL and Python/R, exploring data quality, building models, and integrating solutions while engaging with internal customers to fulfill AI/ML requests.
The Data Scientist will support public health and biomedical research through data analysis, statistical modeling, and machine learning. Responsibilities include managing large datasets, conducting epidemiological studies, collaborating on research projects, and presenting findings to stakeholders. The role requires a Ph.D. and significant experience in data management and analysis.
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The Staff Policy Economist will provide data-driven insights on policy and regulatory issues for Airbnb, working collaboratively across teams. Responsibilities include complex regulatory impact analyses, spatial data mapping, AI/ML model usage for insights, and creating visual representations of data. Strong communication skills are essential for presenting analysis effectively.
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The Principal Data Scientist at Visa will lead initiatives in machine learning and data engineering, focusing on improving business workflows and building advanced data models for transaction processing. Responsibilities include overseeing production workflows, ensuring data quality and governance, and automating data processes.
The Principal/Sr. Data Scientist at Northrop Grumman is responsible for creating data mining architectures and methodologies to analyze large datasets, identify trends, and support advanced science team's prototype development. Candidates must possess strong communication skills and a robust background in image science and statistical visualization.
As a Senior Data Scientist at Roku, you will analyze data to drive business decisions and create customer segmentation for targeting strategies. You'll build data pipelines, design A/B tests, deliver actionable insights, and communicate findings effectively to stakeholders and executives. Your role is pivotal in optimizing growth for content distribution partnerships.
The Senior Data Scientist will lead a team to develop analytics-focused products, utilizing machine learning and advanced modeling to enhance customer experience and drive revenue opportunities. Responsibilities include designing experiments, building predictive models, and collaborating with cross-functional teams to generate actionable insights.
As a Staff Data Scientist at Invoca, you will lead the development and implementation of machine learning models and techniques, focusing on conversation intelligence and optimization for marketing and sales. This includes conducting research, mentoring team members, and creating efficient workflows for data curation while applying generative AI techniques and advanced algorithms.
As a Data Scientist I, you will analyze multi-terabyte datasets and provide insights on customer behavior and trends. You'll collaborate with teams to drive data-driven decision-making, develop dashboards in Looker, and empower stakeholders with analytical solutions.
As a Senior Data Scientist, you will develop and implement large-scale personalized recommendation models using machine learning techniques. This involves collaborating with engineers, designing data pipelines, and utilizing modern AI technologies to enhance retail personalization.
The Senior Data Scientist role involves executing data science projects for various operations, including forecasting, labor optimization, and delivery efficiency. Responsibilities include designing and deploying models, analyzing complex processes, and providing data-driven solutions for better decision-making and economic impact.
The Senior Data Scientist will collaborate with various teams to analyze data, develop measurement frameworks, design A/B tests, and create customer segmentation strategies. This role focuses on generating actionable insights to optimize advertising and drive customer conversions, along with building data pipelines and dashboards for stakeholders.
As a Sr. Data Scientist at Viaduct, you will collaborate with clients to develop tailored data science solutions, utilize advanced machine learning techniques to extract actionable insights from complex datasets, and communicate findings to non-technical stakeholders. You will design scalable models, work cross-functionally with teams, and ensure seamless integration of data science solutions into the overall technology stack.
As a Senior Data Scientist at Roku, you'll collaborate with business partners and engineers to solve complex analytical problems, develop measurement frameworks, and create actionable insights to drive customer conversions. You'll manage data pipelines and dashboards, design A/B tests, and communicate findings effectively to stakeholders to influence business decisions.
In this role, you will ingest and analyze large datasets to support decision-making, develop data pipelines, create visualizations, and provide insights into trends. You will collaborate with teams to enhance analytics efforts and contribute to AI model development, utilizing your skills in data mining and machine learning.
The Data Science Developer analyzes large datasets, develops machine learning algorithms, collaborates with medical professionals and software engineers, designs software tools for medical image processing, implements deep learning architectures, and ensures compliance with regulatory standards.
As a Senior Data Scientist, you will transform data into actionable insights, develop predictive models, apply ML/AI techniques to enhance GPU productivity, and lead projects across multiple teams. You will utilize your expertise in algorithms and system design to optimize engineering processes and provide analytical frameworks for data handling.
As a Data Scientist at Duolingo, you will analyze data to impact product decisions and business metrics. Your role involves collaborating with teams to design and conduct experiments, building dashboards, and ensuring data quality to enhance user experiences.
As a Senior Data Scientist at Roku, you'll analyze data to support user privacy initiatives, identify trends, and improve data-driven decision-making. You'll collaborate with product management and engineering, develop dashboards, manage data pipelines, and provide insights that drive strategic product development. This role involves hands-on analysis and the use of various tools to assess and enhance Roku’s privacy products.
The Data Scientist will leverage expertise in data analysis and statistical modeling to support public health and biomedical research projects. Responsibilities include managing research databases, conducting epidemiological studies, developing advanced analytics methods, and presenting results to stakeholders.
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