Design, develop and deploy scalable machine learning pipelines/systems for various problems such as sales/labour forecasting, anomaly detection
Identify and collect relevant data sources required for our projects
Integrate with external data and AI APIs
Own machine learning based features end to end, from model experimentation to the end user
Communicate results with various stakeholders and be able to describe how projects can impact our clients
Maintain high standards in our team by performing regular code reviews

Requirements

Masters Degree in a quantitative subject (e.g., Statistics, Data Science, Mathematics, Computer Science)
3+ years of experience working as part of a data science or data engineering team
5+ years of experience working in a software developer or adjacent role
Strong background in data science/statistics including time series, regression/classification problems
Curious, self motivated individual who enjoys solving complex problems and bringing value to customers
Experience with SQL and ETL pipelines, and Data Warehouses (e.g, Snowflake, Redshift, or other)
Expert communication skills while speaking to audiences with a range of backgrounds
A passion for solving real-world problems with technology that makes a difference in people's lives.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata sciencestatisticstime seriesregressionclassificationSQLETL pipelinesdata warehousesmodel experimentation

Soft Skills

communicationproblem-solvingself-motivationcuriositystakeholder engagementteam collaborationcode reviewimpact assessment

Certifications

Masters Degree