Top Data Science Jobs

As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.

The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.

As a Machine Learning Researcher at Citadel Securities, you will apply advanced machine learning and AI techniques to analyze datasets, back-test models, and document your findings. Your work will contribute to developing innovative trading strategies in a fast-paced environment.

As a Staff Applied Scientist at Samsara, you will lead the design and implementation of AI product initiatives while working with petabyte-scale data. Your role involves developing both tactical and strategic AI solutions, collaborating across business units, and staying updated with industry research.

The Revenue Operations Analyst supports revenue forecasting, account planning, CRM management, and data hygiene compliance for the North American region. This role involves collaborating with sales leadership, managing Salesforce operations, enforcing data integrity, and providing insights through reporting across various teams.

As a Data Scientist at Attain, you will develop and apply machine learning approaches for Ad-Tech products, lead the design of machine learning services, collaborate with various teams, and contribute to the data science roadmap. You will also work on developing advanced models to drive strategic investment decisions.

As a Data Scientist at MORSE, you will analyze and evaluate machine learning algorithms, develop algorithms for real-time systems, and present findings to stakeholders. You will collaborate with engineers to transition algorithms into software applications, focusing on advanced data analysis and machine learning methods.