
Senior Data Scientist- Real World Data
At ProQuest, we are constantly striving to revolutionize the way people access and use information. As a Senior Data Scientist for Real World Data, you will play a crucial role in analyzing and interpreting complex data sets to provide valuable insights for our clients. We are seeking a highly skilled and experienced individual who is passionate about using data to drive decision-making and has a strong understanding of real-world data. If you are looking for a challenging and rewarding opportunity to make a significant impact in the world of data science, we encourage you to apply.
- Conduct data analysis: Utilize statistical and machine learning techniques to analyze large and complex data sets, in order to identify patterns, trends, and insights.
- Interpret data: Translate complex data into meaningful insights and actionable recommendations for our clients.
- Collaborate with cross-functional teams: Work closely with other members of the data science team, as well as product managers, engineers, and business stakeholders to drive data-informed decisions.
- Stay informed on industry trends: Keep up-to-date with the latest trends and advancements in data science, particularly in the realm of real-world data, and apply this knowledge to drive innovation within the company.
- Develop predictive models: Build and validate predictive models using machine learning algorithms to help clients make better informed decisions.
- Communicate findings: Effectively communicate complex findings and insights to both technical and non-technical audiences, including clients and senior management.
- Ensure data quality: Monitor and maintain the quality of data sets, identifying and resolving any issues that may affect the accuracy of analysis.
- Lead projects: Take ownership of data science projects, from conceptualization to implementation, and collaborate with team members to deliver results within designated timelines.
- Mentor junior team members: Share knowledge and expertise with junior team members, providing guidance and support to help them develop their skills.
- Continuously improve processes: Identify opportunities to improve processes, tools, and methodologies to enhance the efficiency and effectiveness of data analysis.
Advanced Knowledge Of Data Analysis And Statistical Modeling Techniques, Including Regression Analysis, Machine Learning, And Data Mining.
Strong Experience Working With Real-World Data Sets, Such As Electronic Health Records Or Claims Data.
Proficiency In Programming Languages Commonly Used In Data Analysis, Such As R Or Python.
Experience With Data Visualization Tools And Techniques, Such As Tableau Or Power Bi.
Excellent Communication And Collaboration Skills, With The Ability To Effectively Present Complex Data Findings To Non-Technical Stakeholders.
Data Analysis
SQL Programming
Machine Learning
Data Visualization
Natural language processing
Data Mining
Statistical modeling
Predictive analytics
Python programming
R programming
Big Data management
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Scientist- Real World Data in Philadelphia, PA, USA is $117,000 - $180,000 per year. This can vary depending on the specific company, level of experience, and other factors such as education and certifications.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
ProQuest LLC is an Ann Arbor, Michigan-based global information-content and technology company, founded in 1938 as University Microfilms by Eugene B. Power. ProQuest provides applications and products for libraries.

Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started
