Data Scientist - Co-op
Toronto, Flexible
Applications have closed
Achievers
Achievers' award-winning employee recognition software creates a culture that accelerates engagement and performance for UK businesses.
The Achievers Employee Success Platform™ delivers high-frequency recognition that drives business outcomes for HR and business leaders, from decreased turnover to increased engagement. Designed specifically to meet the needs of today’s workforce, it empowers employees to recognize each other in real time and aligns them to the values and goals of the company. With more than 3 million users, the Employee Success Platform inspires brilliant performance in 170 countries. Visit us at www.achievers.com to learn more and join us in our mission to Change the Way the World Works™.
Toronto, OntarioFlexible to Remote or Hybrid - Students choice!Term: 4 months, open to 2 terms
Achievers is looking for a creative and collaborative Data Science Co-Op! During this full-time 12-week internship program, you will be embedded as a full-time member of our Data Science team and paired with a mentor. You will work on real features and build internal tools that inform our decision about how best to serve our 200+ million users worldwide!
As a Data Science Co-op, you will: Design and build Data Science solutions for a variety of business problems. Distill insights from complex data, communicating findings to technical and non-technical audiences. Design and analyze experiments that will evaluate new features and inform product direction Design, build, and share internal reporting for Data Scientists and Product Managers Collaborate with Product Managers, Designers, and other Data Scientists to identify opportunities to improve user experience Qualifications: Enrolled in a Data Science or related program. Basic Knowledge of Data Science Modeling approaches, Regression, Classification, NLP, Recommender engines, Deep Learning. Proficient in Data Science packages and tools, Python, R. Proficient with relational databases and SQL for data retrieval. Strong communication skills, particularly around explaining technical concepts to non-technical audiences About Achievers: As Achievers employees, we are passionate about disruptive technology, welcome constant change, and understand the value of employee success in the workplace. We enjoy coming to work every day because we believe in our product and love our culture. Achievers is more than just a software company; we are industry leaders in the HR space.
We have been recognized in numerous publications for our contributions to HR, for technical excellence and for our outstanding workplace culture!
Check out our platform in action here
Achievers does not offer employment to prospects without first ensuring that qualified candidates speak directly with the hiring manager and a member of our HR team. All qualification will be done face-to-face, whether that is in person or over Zoom. Achievers does not send out offers of employment without meeting candidates and does not offer employment via text. If you are requested for any personal information via text and/or without having met a member of our hiring team in person, please disregard. Our employees are a diverse and inclusive team of passionate, hardworking individuals. Achievers is committed to creating an environment where our employees can do the best work of their lives. We encourage all qualified candidates to apply to join our A-Player family. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Toronto, OntarioFlexible to Remote or Hybrid - Students choice!Term: 4 months, open to 2 terms
Achievers is looking for a creative and collaborative Data Science Co-Op! During this full-time 12-week internship program, you will be embedded as a full-time member of our Data Science team and paired with a mentor. You will work on real features and build internal tools that inform our decision about how best to serve our 200+ million users worldwide!
As a Data Science Co-op, you will: Design and build Data Science solutions for a variety of business problems. Distill insights from complex data, communicating findings to technical and non-technical audiences. Design and analyze experiments that will evaluate new features and inform product direction Design, build, and share internal reporting for Data Scientists and Product Managers Collaborate with Product Managers, Designers, and other Data Scientists to identify opportunities to improve user experience Qualifications: Enrolled in a Data Science or related program. Basic Knowledge of Data Science Modeling approaches, Regression, Classification, NLP, Recommender engines, Deep Learning. Proficient in Data Science packages and tools, Python, R. Proficient with relational databases and SQL for data retrieval. Strong communication skills, particularly around explaining technical concepts to non-technical audiences About Achievers: As Achievers employees, we are passionate about disruptive technology, welcome constant change, and understand the value of employee success in the workplace. We enjoy coming to work every day because we believe in our product and love our culture. Achievers is more than just a software company; we are industry leaders in the HR space.
We have been recognized in numerous publications for our contributions to HR, for technical excellence and for our outstanding workplace culture!
Check out our platform in action here
Achievers does not offer employment to prospects without first ensuring that qualified candidates speak directly with the hiring manager and a member of our HR team. All qualification will be done face-to-face, whether that is in person or over Zoom. Achievers does not send out offers of employment without meeting candidates and does not offer employment via text. If you are requested for any personal information via text and/or without having met a member of our hiring team in person, please disregard. Our employees are a diverse and inclusive team of passionate, hardworking individuals. Achievers is committed to creating an environment where our employees can do the best work of their lives. We encourage all qualified candidates to apply to join our A-Player family. Accommodations are available on request for candidates taking part in all aspects of the selection process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Deep Learning NLP Python R RDBMS SQL
Region:
North America
Country:
Canada
Job stats:
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Category:
Data Science Jobs
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