Top Data Science Jobs

Seeking a senior data scientist to utilize data science, AI, and machine learning to solve complex challenges across various sectors. Responsibilities include data analysis, algorithm development, and collaboration with clients.

As a Senior Data Scientist, you'll analyze complex data sets, develop algorithms, and create solutions for clients, utilizing skills in programming and machine learning.

As a Senior Data Scientist, you will utilize machine learning and data programming to analyze complex datasets, develop algorithms, and provide insights to clients to tackle global challenges, particularly in sectors like fraud detection and cancer research.

As a Senior Data Scientist, you will leverage data sets, apply machine learning and AI techniques, and provide analytics solutions to clients while guiding teammates in data-driven decision making.

As an Advanced Data Scientist, you will analyze data, develop predictive models, and utilize AI and machine learning methodologies for decision making in civil engineering projects.

As a Data Scientist II, you will create data solutions, analyze business needs, build models, and present insights to support business decisions.

As a Data Scientist, collaborate with cross-functional teams to solve mathematical problems, optimize pricing models, and analyze data for business opportunities.

As a Data Scientist, you will analyze large data sets using statistical methods, build predictive models, and collaborate with teams to derive insights that drive business solutions.

The Data Scientist 3 will develop and implement machine learning algorithms, analyze datasets for insights, lead a team, and collaborate with other experts. A TS/SCI clearance is required.

The intern will code software to automate processes, analyze fraud using econometric techniques, and handle large datasets.

Seeking a Data Scientist with expertise in Full stack Development and AWS Architecture for a 3-6 month local project.

The Data Scientist will analyze data using machine learning and statistical methods to deliver insights, develop algorithms, and support customers with analytical discussions.

Conduct analyses on complex healthcare data to showcase new technologies and process improvements, using statistics and machine learning techniques to enhance decision-making and patient outcomes.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

Data Scientists at Actifai will design and improve algorithms, collaborate with engineers, analyze user behavior, and optimize strategies for client decisions.

Lead scientific initiatives using biostatistics to inform drug discovery and clinical trial design. Guide data science methodologies and collaborate across teams.

The role involves analyzing ad performance, providing data-backed recommendations, leading data science projects, and mentoring team members to enhance advertiser value through data insights.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

The Data Scientist will design scalable data models, support data transformation, provide business insights, maintain data quality, and drive evidence-based decisions.

The Data Scientist collects and analyzes data to spot trends, recommends data utilization, and communicates findings to business leaders, while developing predictive models and data processes.

The Data Scientist will ensure statistical validity of products, develop techniques to enhance user value, collaborate cross-functionally, and drive data accessibility through optimizing queries and processes.

As a Data Scientist, you will shape data science efforts, work with teams to understand product usage, mentor junior staff, and build data products.

As a Data Scientist II, you'll conduct analyses to optimize pricing and marketing, develop predictive ML models, and collaborate with teams to drive data-driven solutions.