Data Scientist - Toronto, Canada - OCS

OCS

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

About Us

The Ontario Cannabis Store provides safe, responsible access to recreational cannabis for adults 19 and older.

We operate the provincial online store for recreational cannabis in Ontario and are the exclusive provincial wholesaler to authorized private retail stores.

Working at the OCS is a unique opportunity to be part of an agile start-up in a ground-breaking new industry.

We're a diverse team passionate about delivering a great customer experience, working together with mutual respect and building value out of our differences.

We're an inclusive organization that understands that delivering great results comes out of ensuring every voice is heard.

About the Role

We are recruiting for a Data Scientist to join our Data Science team. The Data Scientist creates data stories in order for the business to achieve its corporate objectives.

As a Data Scientist, you will partner closely with the business and identify the areas of opportunities that will help with achieving efficiencies in inventory management, customer experience, supply chain, finance and Information Technology.

This is an exciting opportunity to leverage your 7+ years of experience working with data analytics tools in order to build descriptive and predictive analytical solutions that are based on statistical models and advanced analytical capabilities.

About Your Day

Interpret data, analyze results using statistical techniques to provide regular, timely and accurate reports to internal departments
Develop and utilize data science algorithms and models to perform data mining
Help and define test data and environment requirements
Build efficient and accurate data models in a testing environment
Run test cases and develop error management strategies to assess model assumptions and evaluate performance
Receive data from primary or secondary data sources and accurately maintain databases and data systems
Identify, analyze and interpret trends or patterns in multifaceted data sets
Filter, clean and validate data for uniformity and accuracy
Develop and implement databases, data collection systems, and data analytics to optimize statistical proficiency and quality
Compile data insights into digestible and actional format for the Data team
Create reports and dashboards/visualizations for internal stakeholders
Ensure KPI's are reviewed daily, weekly, monthly and perform analysis on behavior and processes that could affect data integrity
Locate and define new process improvements
Enable effective decision making by retrieving and aggregating data from multiple sources into a digestible and actionable format
Partner with Data Engineers to get the access of analytical data models
Communicate analytical solutions to internal stakeholders and provide recommendations for business process improvements
Participate in Proof of Concept or Proof of Technology projects to evaluate cybersecurity technologies and platforms
Collaborate with Supply Chain, Merchandising, Finance, Wholesale teams to identify opportunities for business process improvements, and make recommendation for system modifications
Provide guidance and share expertise with project teams to support business initiatives

About You

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field of study and/or equivalent level of education and experience
Certifications in Data Science tools and/or technologies is an asset
7+ years of experience in Business Intelligence development roles working with data and analytic tools
Experience with Data Analysis, eCommerce, Retail and Business Analytics is strong asset
Experience with statistical computer languages (R, SAS, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Experience with Data Visualization tools (e.g., Power BI, Tableau)
Experience creating and using advanced machine learning algorithms and statistics (e.g., regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.)
Experience analyzing data from 3rd party providers (e.g., Google Analytics, Eloqua)
Experience with distributed data/computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark, MySQL)
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their realworld advantages/drawbacks
Knowledge and experience in statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.)
Strong analytic skills with ability to clean, organize, analyze, and visualize data
Intermediate programming skills in R, and/or Python
Advanced skills with Microsoft Excel and SQL Server

Remote Work

About the Job