With Expoint, the dream vaccancy is waiting for you around the corner. Jobs as Data Scientist, is this the job you are looking for? We definitely have a Data Scientist job with your name on it.
Company
Job type
Job categories
Job title (1)
United States
State
City
9,880 jobs found
Today
N
Nvidia Senior Solutions Architect Generative AI Data Processing United States, Texas
Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions. Dynamically engaging with developers, scientific researchers, and data scientists,...
Define and champion product vision, strategy, and roadmap for applied data science tools in single cell, and underlying libraries for multimodal data analysis in the life sciences. Gather insights from...
Develop the datasets and models for training and evaluating models and end-to-end systems for Content Safety and ML Fairness. Research and implement cutting-edge techniques for bias detection and mitigation in...
Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques. Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, and reinforcement learning,...
Lead applied and collaborative research programs using bioinformatics, high performance computing, and deep learning for biological advancements. Develop and accelerate bioinformatics software and algorithms to garner understanding in biology through...
Design, implement, deploy, and maintain innovative software solutions for data ingestion, movement, and management. Solve technical problems spanning the areas of orchestration, service modeling, API development, monitoring, and automation. Build...
Conduct collaborative applied research in multiscale biology using deep learning and high-performance computing to identify critical biological challenges and experimental limitations. Work across disciplines with biologists, chemists, and machine learning...
Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions. Dynamically engaging with developers, scientific researchers, and data scientists,...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.