Senior Applied Data Scientist at dunnhumby

Bentonville, Arkansas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

A degree in a relevant field
Proficiency in programming languages and tools such as Hadoop, Spark, SQL, and Python
Experience with prototyping
Knowledge of statistical modeling
Familiarity with analytical techniques and technology
Skills in quality assurance and testing

Responsibilities

Investigate, develop, implement, and deploy a variety of complex applications and components
Leverage expertise in transforming complex problems into actionable insights using state-of-the-art machine learning techniques combined with innovative human creativity
Deliver effective and impactful solutions for clients
Collaborate with exceptionally talented colleagues

Skills

Key technologies and capabilities for this role

PythonSQLHadoopSparkMachine LearningStatistical Modeling

Questions & Answers

Common questions about this position

What is the salary for this Senior Applied Data Scientist position?

This information is not specified in the job description.

Is this role remote or does it require office work?

The job description mentions a comprehensive rewards package including a degree of personal flexibility and flexible working hours, along with an approach to flexible working that supports balancing career and personal commitments.

What skills are required for this Senior Applied Data Scientist role?

Key requirements include a degree in a relevant field, proficiency in programming languages and tools such as Hadoop, Spark, SQL, and Python, experience with prototyping, knowledge of statistical modeling, familiarity with analytical techniques and technology, and skills in quality assurance and testing.

What is the company culture like at dunnhumby?

dunnhumby fosters an inclusive culture with thriving diversity networks, a nimble small-business feel that encourages experimentation and learning, flexible working, and a commitment to putting the Customer First.

What makes a strong candidate for this role?

Strong candidates will have a relevant degree, proficiency in tools like Hadoop, Spark, SQL, and Python, plus experience in prototyping, statistical modeling, analytical techniques, and quality assurance, enabling them to transform complex problems into actionable insights using machine learning.

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.

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