Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com
No 3rd party candidates

Position Summary

We are in search of a passionate Data Scientist who excels at transforming raw data into valuable insights. The ideal candidate is proficient in R, Python, PowerBI, SQL, and possesses knowledge of statistical methods and machine learning. You should have a deep understanding of analyzing datasets of various sizes and be skilled at presenting data in a manner that is accessible to diverse audiences. As a part of our agile team, you will not only be diving into multiple domains but will also play a pivotal role in shaping our data-driven strategies. Prior experience in a cross-functional team is a plus. If you are someone who loves challenges, can handle multiple projects, and aims to make a significant impact, then you might be the fit we are looking for!

Primary Responsibilities

• Analyze, interpret, and visualize data across multiple domains to generate actionable insights.
• Provide expertise on both small and large dataset analysis, ensuring accuracy and relevance of the findings.
• Collaborate with different departments to understand their data needs and deliver tailored solutions.
• Develop and maintain dashboards using PowerBI, ensuring they are user-friendly, updated, and provide real-time insights.
• Apply statistical methods and machine learning techniques to extract deeper insights from data.
• Work within multiple small teams, ensuring smooth communication, understanding of project requirements, and timely delivery.
• Offer recommendations based on data analysis that can drive company strategy and decision-making.
• Participate in regular team meetings, presenting findings and updates on ongoing projects.

Qualifications and Key Success Factors

• Bachelor's degree required, or Master's degree preferred in Data Science, Computer Science, Statistics, Mathematics or a related field.
• Experience in a data science role or related position.
• Proficiency in R, Python, PowerBI, SQL, and knowledge of statistical methods and machine learning.
• Demonstrated experience in analyzing and visualizing both small and large datasets.
• Ability to work in multiple domains and adapt to changing requirements.
• A proactive approach to problem-solving and a keen eye for detail.
• Prior experience with patient level data is a plus