Senior Applied Data Scientist at dunnhumby

Toronto, Ontario, Canada

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Science, RetailIndustries

Requirements

Degree in a relevant subject
Proficiency in programming languages such as PySpark, Python or SQL
Experience in Data Visualization tools and BI (Power BI, Excel)
Strong understanding of analytical techniques and technology
Proficiency in quality assurance and testing
Experience in Retail Analytics (Desirable)
French speaking (Desirable)

Responsibilities

Investigate and analyze complex data sets to extract valuable insights
Turn business problem into analytical plans
Collaborate with cross-functional teams to deliver data-driven solutions
Re-use existing dunnhumby science or develop and implement algorithms and machine learning models
Deploy and maintain scalable data applications
Continuously explore and leverage new technologies and methodologies

Skills

PySpark

Python

SQL

Data Visualization

Power BI

Excel

Machine Learning

Analytical Techniques

Quality Assurance

Test

dunnhumby

Customer data analytics for retail optimization

About dunnhumby

dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to maintain privacy. Its services include media solutions, customer insights, and personalized marketing strategies, which help clients improve customer engagement and sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to create better customer experiences through data-driven insights.

London, United KingdomHeadquarters

1989Year Founded

BUYOUT_LBOCompany Stage

Data & Analytics, Consulting, Venture Capital, Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Remote Work Options

Risks

Departure of key media team member may disrupt dunnhumby's media strategy.

Challenges in integrating startups with enterprises could misalign innovation goals.

Data privacy concerns may arise from partnerships, affecting client trust.

Differentiation

dunnhumby leverages AI to optimize product selection and inventory management.

The company offers a unique Competitive Threat Evaluator for strategic market insights.

dunnhumby partners with startups through its Retail Innovation Network to drive retail tech.

Upsides

Real-time data analytics partnerships enhance dunnhumby's market adaptability.

AI-powered tools position dunnhumby as a leader in competitive retail analysis.

The Retail Innovation Network fosters collaboration, boosting innovation in retail technology.

Land your dream remote job 3x faster with AI

Try Jobo Free