Data Science Graduate

Remote Full-time
Are you a recent graduate with a passion for data and a drive to make an impact in the tech industry? Look no further – Hewlett-Packard/HP is seeking a talented Data Science graduate to join our dynamic team. As a Data Science Graduate at HP, you will have the opportunity to apply your skills and knowledge to solve real-world problems and shape the future of our company. We are looking for a highly analytical and curious individual who is eager to learn and grow in a fast-paced environment. If you are ready to take on new challenges and make a difference, we want you on our team. See below for the qualifications we are seeking in our ideal candidate. Conduct data analysis and apply statistical methods to identify trends and patterns in large datasets. Develop predictive models and algorithms to support decision-making and drive business growth. Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner. Continuously learn and stay updated on emerging trends and technologies in the field of data science. Utilize programming languages such as Python, R, and SQL to manipulate and analyze data. Design and implement data pipelines to extract, transform, and load data from various sources. Identify and troubleshoot data quality issues and implement solutions to improve data accuracy. Conduct research and explore new techniques to improve data analysis and modeling techniques. Collaborate with senior data scientists to develop innovative solutions and contribute to the company's overall data strategy. Take ownership of projects and deliver high-quality results within tight deadlines. Adhere to data privacy and security policies to ensure confidential data is handled appropriately. Participate in training and development opportunities to enhance skills and expand knowledge in the data science field. Proactively identify opportunities for process improvements and automation to streamline data analysis processes. Represent the company as a data science expert at conferences and industry events. Hewlett-Packard/HP is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Apply tot his job
Apply Now →

Similar Jobs

Data Architect - Life Science - Manager- Consulting - Location OPEN

Remote Full-time

Digital Data Analyst

Remote Full-time

Product Architect Big Data Google Cloud Platform

Remote Full-time

Data Science Lead - Analyst 5 San Jose

Remote Full-time

People Data Architect (Data Science) 2 Locations

Remote Full-time

Data Science - Analyst 4

Remote Full-time

[Remote] Senior Big Data Architect

Remote Full-time

[Remote] Business Intelligence developer with Power BI- Remote

Remote Full-time

Data Engineer

Remote Full-time

Data Architect - Life Science - Manager- Consulting

Remote Full-time

Director of Ministry & Media Partnerships - Remote, US

Remote Full-time

Senior Machine Learning Engineer (Remote)

Remote Full-time

Sr. Manager, CXO Customer Advocacy

Remote Full-time

Sr. Identity Governance (IGA) Engineer

Remote Full-time

Experienced Remote Customer Service and Technical Support Representative – Delivering Exceptional Client Experiences through Innovative Solutions and Technical Expertise

Remote Full-time

**Experienced Full Stack Customer Service Sales Representative – Life Insurance Benefits Advisor**

Remote Full-time

Associate Fashion Designer

Remote Full-time

**Experienced Social Media Customer Support Specialist – Work From Home**

Remote Full-time

Experienced Remote Data Entry Clerk – Exceptional Customer Service and Administrative Support Specialist at blithequark

Remote Full-time

Experienced Virtual Customer Care Specialist – American Express: Delivering Exceptional Service and Making a Difference

Remote Full-time
← Back to Home