Lead the definition and development of customer analytics and data science solutions.
Advise clients on solution architecture, implementation strategies, and best practices.
Conduct workshops to identify business pain points, define solution paths, and co-create innovative analytics strategies.
Build and deploy machine learning models, customer segmentation algorithms, and predictive analytics solutions.
Collaborate with cross-functional teams to integrate analytics into business processes and platforms.
Ensure quality assurance, testing, and successful roll-out of analytics solutions.

Requirements

Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related STEM field.
Proven experience in customer analytics, commercial insights, or operational data science.
Strong ability to translate complex data into actionable business insights and recommendations.
Hands-on experience with data science tools and programming languages such as Python, SQL, R, or MATLAB.
Familiarity with AI/ML techniques, data visualization tools, and cloud platforms.
Experience in delivering analytics use cases in industries such as Consumer Products, Retail, Manufacturing, Life Sciences, or Energy & Utilities.
Agile project delivery experience and understanding of consulting methodologies.
Excellent communication and stakeholder management skills.
Must have an awareness of how to Design, develop, and deploy AI-driven solutions to enhance decision-making, automate processes, and improve operational efficiency across the organization

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

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

Hard Skills & Tools

customer analyticsdata sciencemachine learningcustomer segmentation algorithmspredictive analyticsPythonSQLRMATLABdata visualization

Soft Skills

communicationstakeholder managementproblem-solvingcollaborationconsulting methodologiesagile project deliverybusiness insightsinnovationquality assurancetesting