Data Jobs in US

Yes Licenses and Credentials Experience Data Analysis Experience 0-1 year preferred Knowledge, Skills And Abilities Building proficiency in statistics, data analysis, and data sets. Proficient in time management and project management skills.

Experience Minimum & Preferred Qualifications and Experience 0–2+ years of experience in data analytics, business intelligence, or engineering analytics; internship or project experience considered. Understanding of statistics, data modeling, or quantitative analysis techniques.

The primary role of this individual will be to build, enhance and maintain business intelligence platform to support business intelligence and sophisticated analytics requirements. The results of your work will allow us to streamline our reporting operations and enable the generation of new insights that will allow us to transform our Analytics & Insights efforts to support business strategy, as well as marketing and operations.

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer.

Job Overview: The AVP, Data Platform Engineer leads development of data services and platform solutions needed to host business-critical applications that differentiate LPL in the market. Responsibilities: Leads database platform modernization / transformation supporting enterprise applications Lead research / design / architecture / development of enterprise database services on-prem and AWS Landing Zone (ALZ) utilizing IaC/IaaS/ PaaS solutions Build scalable / resilient solutions and ensure proper instrumentation is in place for overall observability of platforms and services Build / maintain database platforms that enable self-service and frictionless / agile delivery model Build IaC solutions adhering to DevSecOps best practices utilizing tools such as Git, CloudFormation, Ansible and Terraform Code / Implement guardrails to enable self-service and frictionless delivery allowing teams to build and own end-to-end applications and services in the cloud Participate in Kanban delivery model to deliver sprint releases through stories/epics utilizing Jira to track all development work and track overall velocity Accountable for site reliability engineering (SRE) activities to build highly available and scalable solutions and ensure problem observability of platforms / services Build / Maintain strong partnerships with IT stakeholders including Delivery Engineering, Application Development, Architecture and Security What are we looking for?

You'll own the day-to-day administration of our Salesforce instance and supporting tools—ensuring data is clean, processes are documented, users are supported, and reporting is accurate. What You'll Do: Salesforce Administration: Manage user accounts, permissions, roles, and security settings.

The firm has earned numerous workplace accolades, including being named to Fortune's Best Companies to Work For and receiving honors such as Best Workplaces for Women, Best Workplaces for Flexibility, Best Workplaces for Giving Back, and Best Workplaces for Parents. The analyst will join a team of three.

You will be responsible for analysis of game telemetry data and evaluation of product health across AAA game studios. This selected candidate will own processes for central reporting, assigning business logic to large, complex data sets.

What Data & Analytics Management Contributes To Cardinal Health The Data & Analytics Function oversees the analytics life-cycle to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. Data & Analytics Management provides strategic oversight, leadership and direction within the Data & Analytics function.

This Risk Manager proposition will be on a dynamic team, supporting the Virginia Class Submarine (VCS) Program office (PMS 450) which is part of the larger Team Submarine organization. Serco supports the US Navy as a prime for their Team Submarine contract supporting the acquisition of submarines.

Lensa is a career site that helps job seekers find great jobs in the US. 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...