Data Jobs in US

[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our ent

Core Responsibilities Design, develop, and maintain backend services and AI-enabled applications that support scientific and bioprocessing workflows. Support integration and access to scientific and operational databases through well-defined APIs and backend services.

Newsweek Recognizes Sedgwick as Americas Greatest Workplaces National Top Companies Certified as a Great Place to Work Fortune Best Workplaces in Financial Services & Insurance Data Scientist (REMOTE) Data Scientist (Remote) PRIMARY PURPOSE OF THE ROLE: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage. Essential Responsiblities May Include Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders Help to build, prototype, and deploy machine learning models in sandbox and production environments Produce reports to communicate metrics and outcomes of stakeholder interest Assist with developing and maintaining end-to-end ETL data pipelines Work to explore new internal data sources and their utility within projects Communicate modeling challenges, findings, and outcomes to stakeholders Qualifications Insurance claims knowledge preferred Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering Experience writing Python or R code, and notebook environments Knowledge of common unsupervised/supervised ML techniques TAKING CARE OF YOU Career development and promotional growth opportunities.

[Industry: Accounting, IT Services and IT Consulting, and Business Consulting and Services | Type: Full-time | Level: Not Applicable] Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformatio

[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing

The role of Data Operations Associate will be a vital position on the STR Data Operations Team based in Nashville, reporting to the Manager, Data Operations. The data operations team is responsible for a diverse and growing range of data types, including: Historical data Forward booking data P&L data A basic understanding of key data points across all data sets and their relevance to our clients is crucial.

Work closely with clients to understand their business needs, translate them into technical requirements, and develop tailored data solutions. Collaborate with a diverse team of professionals, including data scientists, data engineers, and business analysts, to deliver high-quality data solutions.

Join Accenture Federal Services, a technology company within global Accenture. Responsible for designing data infrastructure strategies, including the overall enterprise data management framework, data security, and compliance.

This position primarily leads the building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.