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Associate Data Scientist Co-Op (Sep-Dec)

Company

PointClickCare

Address Mississauga, Ontario, Canada
Employment type FULL_TIME
Salary
Category Software Development
Expires 2024-01-21
Posted at 9 months ago
Job Description
For more than 20 years, PointClickCare has been the backbone of senior care. We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform.
With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.
For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn.
Reporting to the Manager, Data Science, the Associate Data Scientist will be responsible for understanding, interpreting, manipulating, grouping and correlating our data with the goal of turning our vast amounts of clinical data into meaningful insights for PointClickCare internally and for existing and new customer bases externally
Key Responsibilities
  • Developing predictive analytics and visualization tools to continually deliver new insights and analytics products to our customers.
  • Building learning algorithms to analyze data.
  • Identifying new opportunities for additional products and services.
  • Developing a full understanding of our customers' challenges and need for data, in addition to our own internal needs.
  • Gathering, examining and analyzing large sets of data.
  • Translating business needs into data models and predictive analytics.
  • Developing segmentation, outcome modeling, experimental design and decision analysis.
  • Educating and mentoring development on data modeling conventions and best practices, leveraging database, big data and predictive analytics experience.
  • Analyzing and understanding PointClickCare's data thoroughly.
  • Developing predictive analytics and visualization tools to continually deliver new insights and analytics products to our customers.
  • Making recommendations in defining our technical approach and participating in the implementation of a full business analytics platform.
  • Analyzing and evaluating model performance definitions, sampling approaches and segmentation alternatives.
Experience Required
  • Meticulous attention to detail.
  • Ability to think creatively and to work well both as part of a team and as an individual contributor.
  • Demonstrate ability to apply quantitative analysis techniques to business situations including forecasting, descriptive statistics, statistical inference, and multivariate modeling techniques.
  • Master’s Mathematics, Engineering, Statistics, Economics and 1-3 years of related work experience or equivalent combination of education and experience.
  • Statistical programming experience (SAS, R, Python) preferred.
  • Excellent written and verbal communication skills and the ability to interact with variety of customers and stakeholders.
  • Basic analytical, data mining, data modeling and data management skills, and ability to utilize data to drive strategic business directions.
  • Strong problem solving and logical skills.
  • Demonstrate ability to work with minimal direction, with the ability to coordinate complex activities.
  • Proficient computer skills including use of Microsoft Office products or equivalent software and the ability to learn corporate software programs.
  • Good knowledge of SQL.
  • Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management.
  • Coursework or practical experience with data mining and building algorithms.
  • Practical ability to visualize data, communicates effectively about data, and utilizes data effectively.
  • Proficient with a range of business intelligence and analysis tools SAS, SQL Server Reporting Services, SPSS, R, Microstrategy, or Tableau.
  • 1-3 years of experience in the evaluation of data/data sets work products involving data analysis and research.
Working at PointClickCare goes beyond the resume, because the work we perform makes a true difference in people’s lives. We build innovative healthcare technology for seniors and their caregivers that improve their quality of life and wellbeing on a daily basis. We believe work is so much more meaningful when you’re doing it with a higher purpose. For more information on PointClickCare, please visit us on Glassdoor and LinkedIn.
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: [email protected]
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.