Job Description

Job Description

The company does not offer sponsorship for Visa candidates.. So, resumes forwarded, they are not US citizens or green card holders, and they will not receive a response to their resumes. The job requires 20% travel, mostly to NYC. Ideally, candidates living in Central or Eastern Standard Time zones would be best; MST or PST will still be considered.

A college degree with 1-5 years of experience, up to 15+ years of experience with Python and Mango, is a must.

A Major Global organisation with over 350 shore-based employees and now hiring in the USA, is seeking to add 5 more Data Scientists, and these roles are 100% virtual.

5 open jobs for Data Scientists to Senior Data Scientists.

They will not sponsor visa candidates only US Citizens or Green Cardholders only

These jobs are building Databases for their client using Python and MongoDB

100% remote and there is 20 % travel to clients in the USA or to corporate headquarters in NYC– One of the clients isglobal telcom company and they just landed over $20 million in new contracts

They will see entry-level positions (0-1 years), 2-3 years, 5-10-15 years - Salary based on years of experience.

Full benefits package.. travel expenses etc.. Desktops and Laptops.. Expense account

Entry-level to Sr-level Data Scientist, you will help design and deliver data-driven insights and solutions that enhance audience engagement across streaming and linear platforms.

This role involves close collaboration with data scientists, engineers, analysts, and stakeholders, requiring strong technical and communication skills to develop scalable solutions.

• Develop and deliver impactful analytical solutions and tools using statistical modeling, machine learning, and data science techniques to uncover audience insights and support decision-making.
• Translate complex business problems into data-driven approaches by partnering with cross-functional teams and communicating findings clearly to technical and non-technical audiences.
• Contribute meaningfully to project execution, including scoping, data exploration, modeling, validation, and documentation across both ad hoc and recurring workflows.
• Advance the team's analytical rigor and technical standards by contributing to methodology development, peer reviews, and collaborative problem solving.
• Think critically and rigorously about leveraging available data effectively to identify opportunities for deeper audience understanding and improved business outcomes ETC.