Our client is looking to augment their team with an experienced Data Scientist to assist in the implementation of their cloud-based systems used by large corporations.
This is a fantastic opportunity to work within a smaller group of a larger company.
** This is a work some at the office / work some from home opportunity. **
** US Citizens and all other parties authorized to work in the US are encouraged to apply **
- Bachelors degree in Data Science or related field with 5+ years in a Data Scientist type role.
- Experience with Predictive Modeling, Machine Learning, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Experience creating customer data models to inform business decisions.
- Experience creating visualizations of data and insights to create meaningful messaging around insights and the problems that they solve.
- Experience mentoring team on data analytics to help ingrain the use of these insights into the company culture.
- Experience with the creation of models of internal and external systems to extract insights to inform business decisions for both company and its customers.
- Experience defining data model and tools used for the creation and analysis of data.
- Experience defining hypotheses and executing analytical experiments using the scientific method to prove or disprove them.
- Experience creating insights for internal systems to predict failures to improve uptime while allowing cloud cost reduction.
- Experience processing, cleansing, and verifying the integrity of data used for analysis.
- Experience performing ad-hoc analysis and presenting results in a clear manner.
- Experience creating automated anomaly detection systems.
All resumes will be considered but due to applicant volume it will only be possible to contact best-fit candidates. For immediate consideration, please include your compensation history/requirements and reference job code prs702datascw – Senior Data Scientist.
Rob Shurack * PRS * careers @ prsgrp.com * 954.252.0149 * email@example.com