Top Remote Data Science Jobs in Phoenix, AZ

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Associate Applied Data Scientist will ensure data accuracy, clean complex datasets, build machine learning models, and collaborate cross-functionally to drive data strategy.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Data Scientist will enhance multifamily revenue management through data insights and AI, driving smarter pricing strategies and product features.

The Data Scientist (GTM) role involves using data to support go-to-market strategies, improving sales execution, and translating blockchain activity into actionable insights, while working with various teams.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

As a Data Scientist, you'll analyze user behavior, conduct A/B tests, inform product strategy, and collaborate with cross-functional teams in the rental market.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

As a Senior Marketing Data Scientist, you will lead marketing tests, conduct analyses, and utilize tools like Python and SQL to enhance marketing strategies and performance insights.

The Senior Marketing Data Scientist will manage marketing tests, analyze data, develop reporting tools, and support KPI forecasting while collaborating with teams to enhance marketing effectiveness.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

As a Staff Data Scientist, you'll analyze operational challenges, create dashboards, partner with teams, and use AI tools for data insights while delivering actionable recommendations to stakeholders.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Accounting Data Scientist will utilize advanced analytics and SQL to enhance financial management and audit readiness, transforming complex data into actionable insights.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

Client-facing data scientist supporting clinical data transfer, ETL, validation, analysis, and Power BI dashboards. Build R scripts, assist data harmonization, support internal tools and basic web interfaces while working with cross-functional teams on clinical trial data.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.