Get the job you really want.
Top Data & Analytics Jobs
The role involves developing and implementing a strategic roadmap for marketing analytics, defining marketing attribution goals, analyzing complex data sets, and providing insights to optimize marketing strategies. The position requires collaboration across teams and thought leadership on marketplace trends.
The Senior Data Scientist will lead predictive modeling projects to solve complex business problems in the Healthcare sector. Responsibilities include designing algorithms, managing large data sets, collaborating with business partners, and mentoring junior data scientists to enhance member experiences.
The Junior Data Scientist will support data-driven decision-making by building data pipelines, analyzing datasets, developing predictive models, and delivering insights to enhance commercial strategies. Responsibilities include data cleaning, statistical modeling, data visualization, and collaboration with cross-functional teams to translate business needs into data projects.
The Data Science and AI Manager will lead the development of advanced analytics solutions utilizing NLP and AI to enhance healthcare operations and patient care. This role includes mentoring a team, delivering complex data science projects, and collaborating with various departments to drive data-driven solutions. Responsibilities also involve predictive modeling, data analysis, and ensuring compliance with data regulations.
As a Principal Data Scientist on the Search Team, you will lead the development of advanced algorithms for search relevance and intent understanding. Collaborate with product managers to formulate ML/NLP-based solutions, mentor junior scientists, and stay updated on the latest techniques in machine learning and NLP. You will analyze large datasets and contribute to research and improvement in search experiences.
As a Principal Data Scientist, you will lead the development of innovative machine learning applications for production automation and supply chain optimization, collaborating with diverse teams and investigating new technologies to enhance AspenTech's offerings.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
As a Data Scientist at Breeze Airways, you will analyze large data sets, develop machine learning models, collaborate with cross-functional teams, and deliver actionable insights to enhance guest experiences and optimize operations. You will also conduct experiments, communicate findings, and mentor junior team members.
Featured Jobs
The Senior Data Scientist will lead the creation of data assets and insights to impact product direction, particularly focusing on monetization strategies for Fortnite. Responsibilities include working with various teams to leverage data for improving gameplay and developing metrics. The role requires transforming data into actionable insights using advanced statistical and machine learning methods.
As a Data Science Consultant at Sia Partners, you will collaborate with leadership, engineers, and data analysts to address data needs, analyze both structured and unstructured data, build predictive models, and present insights effectively. You will work on internal projects and develop solutions tailored to client requirements.
We're seeking a Senior Data Scientist to develop cutting-edge AI and ML models for Product Search and Recommendation at Walmart. This role involves deep collaboration with teams to design and deploy models, performing testing and communicating results, and mentoring new data scientists. Candidates should have significant experience in NLP, machine learning, and a relevant technical degree.
The Data Science Manager will leverage advanced analytics to uncover trends in music consumption, create analytical tools and models, and communicate insights to marketing and commercial teams. Responsibilities include data extraction and analysis using various methods, solving business questions, and collaborating with cross-functional teams.
As a Principal Data Scientist, you will lead advanced AI presales, conduct innovative research, and develop algorithms. Responsibilities include providing strategic execution, consulting on AI journeys, optimizing business processes, and creating machine learning solutions.
The Statistician/Data Scientist role involves technical contributions in causal inference, statistics, and machine learning, driving analytics solutions to support business decisions at Lilly. Responsibilities include building ML pipelines, testing frameworks, and translating analytics insights to stakeholders.
As a Senior Data Scientist at TNS, you will analyze complex datasets, develop machine learning models, and deliver AI solutions. Responsibilities include statistical analysis, model development, collaboration with teams, cloud-based solution design, and communicating insights to stakeholders.
As a Data Science Intern, you will work with biologists, chemists, and data scientists to analyze complex multi-omics data. You will receive real-world data to develop creative solutions while collaborating with cross-functional teams. This role requires a strong foundation in statistics, probability, and machine learning, along with programming skills in Python.
As a Data Scientist at Fractal Analytics, you will develop and implement machine learning models to enhance our AI strategies. Responsibilities include collaborating with teams, designing algorithms, ensuring data integrity, and engaging clients to translate needs into solutions.
As a Senior Data Scientist at Walmart, you will build and deploy machine learning applications, develop advanced statistical models, and collaborate with internal and external stakeholders. Your role encompasses mentoring junior scientists, gathering and validating data, and communicating data-driven insights to influence business decisions.
The Data Scientist will perform data analytics, data engineering, and predictive analysis while transforming data into visual products for enhanced decision-making. The role includes building AI tools, creating machine learning applications, and applying data mining techniques to develop high-quality prediction systems.
As a Senior Data Scientist, you will create data assets, reports, and predictive models to enhance Fortnite's monetization strategies. You will collaborate with various teams to transform raw data into insights, evaluate metrics for growth, and design experiments for product improvement.
The Practice Manager for Data Science, AI, and ML will lead a team of experts to deliver professional services, ensuring successful customer engagements. Responsibilities include acting as a technical liaison, guiding teams through projects, educating clients on data science solutions, and supporting cloud migrations. The role requires building strong customer relationships and delivering training to ensure client and team knowledge.
The Data Scientist will analyze complex datasets to extract insights, build and deploy predictive models, and collaborate with teams to support data-driven decisions. Responsibilities include data preparation, model monitoring, and staying updated on data science advancements.
The Data Scientist will build and maintain predictive models, identify patterns and trends, generate analyses, and design analytic procedures. This role involves monitoring model recalibration, delivering insights, and ensuring data quality for Fortune 500 clients across various industries.
As a Sr Data Scientist, you will utilize AI/ML techniques to tackle healthcare problems through the development of algorithms and software tools. You'll collaborate with stakeholders to enhance data products, optimize machine learning solutions, and perform quantitative data analysis, while supervising a team of data scientists and clinicians.
This role involves defining key performance metrics for a safety-critical perception and prediction system, analyzing large datasets using distributed computing, collaborating with engineers and scientists to enhance system performance, and participating in the software development life cycle.
Top Companies Hiring Data + Analytics Roles
See AllAll Filters
No Results
No Results