Top Remote Data Science Jobs

The Senior Data Scientist will lead initiatives using data mining and advanced modeling techniques to provide insights for DTN’s customers in agriculture, oil, gas, and weather sectors. Responsibilities include implementing predictive models, conducting feasibility studies, and creating visualizations to communicate results while collaborating with stakeholders to address their needs.

Senior Data Scientist role at OmniData in Portland. Responsibilities include building data science solutions, analyzing large data sets, developing statistical and ML models, improving decision-making processes, and implementing analytical models in production.

As a Data Scientist, you will analyze complex data sets, develop predictive models using machine learning techniques, and deliver actionable insights for business decisions. Responsibilities include data analysis, model development, data preprocessing, and creating visualizations to communicate findings effectively. Collaboration with cross-functional teams and staying updated with advancements in data science are also key aspects of this role.

As a Senior Data Scientist at Tiger Analytics, you will leverage your expertise in AI and machine learning to design and build advanced analytics engines. Collaborating with teams, you'll develop and evaluate generative AI products, enhance model performance, and drive data-driven business solutions.

As a Data Scientist II at Oscar, you will leverage AI/ML to enhance member engagement and develop analytics to demonstrate the value of novel communication channels. Responsibilities include mentoring junior data scientists, developing data pipelines, and delivering analytical solutions while collaborating across business units.

As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.

As a Data Scientist, you will build and train AI applications, collaborate with teams globally, develop learning algorithms, and visualize data insights. A strong background in statistical modeling and experience with machine learning tools is essential.

As a Senior Data Scientist at Coinbase, you'll analyze complex business problems, guide data metrics, and manage data visualizations. You'll also conduct rigorous experiments, collaborate with cross-functional teams to influence product decisions, and drive impactful projects in the evolving crypto landscape.

The Senior Data Scientist will develop and deploy lead scoring and recommendations models to increase sales call conversion rates, work with business stakeholders to prioritize data modeling projects, establish best practices for model performance evaluation, mentor team members on ML projects, and guide data modeling needs for machine learning systems.

As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.

As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.

The Staff Data Scientist will lead advanced analytics initiatives for Data Solutions and Media Measurement, developing statistical models and machine learning algorithms. Responsibilities include collaborating with teams to automate measurement methodologies, mentoring other data scientists, managing projects, and communicating insights effectively.

Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.

The Senior Data Scientist will design, develop, and implement data analytics solutions for agency challenges, using AI and machine learning techniques to drive risk-based decision making and ensure compliance with grant requirements. Responsibilities include stakeholder engagement, data analysis, and presenting insights.

The NFL Data Scientist will develop and improve machine learning and statistical models for Swish's sports betting products, analyze model performance, and collaborate with data engineering and product teams. Responsibilities include rigorous experimentation and documenting model development.

As a Data Scientist at Coinbase, you will analyze products to provide strategic recommendations, design experiments to assess impact, and maintain key metrics. Collaboration with Product, Engineering, and Design teams is essential to influence product direction and enhance data insights.

The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.