Applied Data Scientist

Gurugram, Haryana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Customer Data Science, Retail, BiotechnologyIndustries

Requirements

The ideal candidate will have 2-4 years of experience and a degree in Statistics, Maths, Physics, Economics, or a similar field. Proficiency in Python and SQL is essential, along with strong analytical techniques, logical thinking, problem-solving abilities, and excellent communication skills. Experience in statistical modeling and applying data science to client problems, with a passion for impacting the customer experience, is also required.

Responsibilities

The Applied Data Scientist will investigate, develop, implement, and deploy complex data science applications and components. This role involves distilling complex problems into compelling insights using machine learning and human creativity to deliver effective solutions for clients. The position requires working alongside a team to challenge and redefine industry standards.

Skills

Python

SQL

Statistical Modelling

Machine Learning

Data Science

Analytical Techniques

Logical Thinking

Problem Solving

Communication Skills

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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