Data Scientist

Stradigi AI is an AI platform provider that transforms the way businesses, and the world work with data to address challenges, accelerate decision-making, and grow with AI today.

We are looking for a Data Scientist who will support our pre- sales and marketing teams with insights gained from analyzing company data. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Become part of a forward-thinking, innovative AI business that truly values what you do, what you think, and how you feel.

What You'll Do

• Participate and drive client workshops to capture business objectives and translate them into data requirements for ML purposes.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Required Qualifications

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Financial knowledge or experience from capital markets is a definite asset.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• Strong presentation skills for both internal stakeholders and client workshops.
• A drive to learn and master new technologies and techniques.
• We are looking for someone with 4-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Tableau, Periscope, Business Objects.

Why consider Stradigi AI?

We offer competitive salaries, the opportunity to own shares in our company through our ESOP program, RRSP matching up to 3%, a generous vacation program, paid time off during the holiday period in December, health and dental benefits, flexible work arrangements, and much more! We also support a flexible work from home model, which allows you to work both from home and from our office.