Data Scientist

Lightspeed is seeking an experienced and skilled Data Scientist to join our growing team. As a Data Scientist, you will play a crucial role in leveraging data-driven insights to enhance our business strategies, drive innovation, and optimize decision-making processes. Sitting on our newly established Data Science Enablement team, you will focus on building predictive and prescriptive models to solve a range of problems across various business units. You will collaborate with cross-functional teams to deliver actionable solutions that drive our organization's growth and success.

What you’ll be responsible for:

Data Analysis and Modeling:

• Conduct data analysis using statistical and machine learning techniques to identify patterns, trends, and relationships within datasets.
• Develop predictive and prescriptive models to forecast trends, understand customer behavior, and optimize the performance of  critical business metrics.
• Utilize various data sources and data preprocessing techniques to ensure data quality and integrity.

Business Strategy and Insights:

• Collaborate with business leaders to understand their challenges and goals, providing data-driven insights and recommendations that drive strategic decision-making.
• Identify opportunities to leverage data to improve product offerings, customer experience, and operational efficiency.
• Deliver machine learning models for use-cases that have a high impact on real-world business applications.

Model Validation and Performance Monitoring:

• Validate and assess the performance of deployed models regularly, ensuring their accuracy, stability, and effectiveness over time.
• Utilize monitoring systems to track model performance and detect deviations, providing timely feedback to maintain model integrity.

Data Visualization and Communication:

• Create clear and concise data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Translate analytical results into actionable business insights and present findings to senior management in a compelling and easily understandable manner.

Experience:

• Master's or Bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, or Mathematics.
• Proven experience as a Data Scientist with successful project delivery.
• Expertise in Python & SQL, and proficiency in data manipulation and analysis using libraries like NumPy, Pandas, and sci-kit-learn.
• Solid understanding of machine learning algorithms and statistical modelling.
• Familiarity with cloud platforms (we are using GCP) for data processing and analysis.
• Experience with data visualization tools (Looker, Tableau, or Power BI).
• Excellent problem-solving skills, analytical thinking, and the ability to thrive in a fast-paced, results-oriented environment.
• Effective communication and presentation skills for both technical and non-technical audiences.

What’s in it for you: 

• Join a growing team and help us move to the next level
• Amazing benefits & perks, including equity for all Lightspeeders
• Constant development of both your skill-set and business acumen with limitless growth opportunities
• Lots of autonomy, flexible work culture
• Innovation time to explore and learn at work
• Shaping the company by joining cultural & technical committees
• Tons of growth opportunities into technical or people management roles
• Opportunity to join a fast-paced, high-growth company
• Opportunity to learn, expand your skill set, forge wonderful relationships and make your mark within the diverse and inclusive Lightspeed family, a true Canadian tech success story

….  And enjoy a range of benefits that will keep you happy, healthy and (not) hungry.

• Lightspeed equity scheme (we are all owners).
• Flexible paid time off and remote work policies.
• Health insurance.
• Contributions to your pension plan - RRSP.
• Health and wellness benefit of $500 per year.
• Paid leave and assistance for new parents.
• Mental health online platform and counseling & coaching services.
• Training opportunities to grow your skills and career
• Volunteer day.
• Fully stacked kitchen (hot and cold beverages, meals served) 
• Happy hours to build your relationships with colleagues after work