Top Data Science Jobs

You will develop innovative data science solutions, including LLM-based agents and predictive models using machine learning on complex datasets.

The Senior Data Scientist for Marketing will analyze data, develop predictive models, and provide insights to drive marketing decisions at Rockstar Games.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

The role involves conducting studies to support the US Space Force, requiring collaboration with analysts and software developers, and the use of data analysis skills.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The Data Scientist II will design, build, and deploy machine learning models and data products, translating business problems into data-driven solutions, while collaborating with various stakeholders and ensuring reliable, production-ready outcomes.

The Data Scientist will build models using statistical and machine learning techniques, conduct analyses, collaborate with teams, and improve model performance.

As a data scientist, you'll leverage statistical methods and machine learning techniques to transform complex data into actionable insights, addressing mission-focused projects. You'll guide teams, create algorithms, and develop solutions for diverse data sources.

The Data Scientist Intern will develop predictive models, work on a RAG LLM project, and assist with digital literacy training while collaborating and presenting to stakeholders.

As a Data Scientist, you'll develop analytics capabilities, collaborate with teams, optimize pricing strategies, and utilize Python and SQL for data analysis.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The Data Scientist will develop physics-based simulation models, perform modeling for satellite missions, and conduct sensor phenomenology studies. Experience with Python for automation and data analysis is essential.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

As a Data Scientist Level 3, you will apply data science expertise to national security challenges, develop analytical tools, and communicate insights effectively to diverse audiences.

As a Data Scientist, Level 3, you'll leverage Python to automate workflows, perform data manipulation, and create visualizations, applying advanced analytics to complex datasets and communicating insights to varied audiences.

The Data Scientist will develop algorithms and models to enhance Arevon's energy storage portfolio by analyzing power market data, improving forecasts, and providing insights for trading and investment.

As a Data Scientist, you will collaborate with scientists to develop algorithms and software solutions for data analysis and machine learning, while engaging in multidisciplinary teamwork to meet project objectives.

The Principal DSX Data Scientist leads the development of scalable tools and statistical platforms, driving automation, workflow optimization, and collaboration in data-driven decision-making across Product Development Data Sciences.

Lead advanced analytical initiatives to optimize pharmaceutical distribution processes using data science methodologies. Design predictive models, analyze data, and present strategic insights to senior leadership.

The Data Scientist analyzes data, develops predictive models, implements machine learning algorithms, and communicates insights to stakeholders, driving data-driven decision-making.

The Data Scientist will analyze data, build predictive models, and collaborate with teams to deploy data products, driving business outcomes.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

The Staff Data Scientist leads machine learning initiatives for personalization and optimization. Responsibilities include causal measurement, LTV model development, and technical leadership across data science teams, partnering with cross-functional teams to align strategies and impact revenue outcomes.

The Development Data Scientist Analyst designs and implements advanced analytics solutions, conducts data analysis, and collaborates with stakeholders to optimize drug development processes through predictive modeling and machine learning techniques.

The Data Scientist 1 role involves developing data-driven solutions, analyzing large datasets, and collaborating with clients and teams using machine learning techniques.