Job Description
Contact: Neisha Camacho/Terra Parsons
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 datadriven strategies. Prior experience in a crossfunctional 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 userfriendly updated and provide realtime 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 decisionmaking.
- Participate in regular team meetings presenting findings and updates on ongoing projects.
Qualifications and Key Success Factors
- Bachelors degree required or Masters 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 problemsolving and a keen eye for detail.
- Prior experience with patient level data is a plus