Senior Data Scientist – Digital Fulfillment T+ at Target

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Supply ChainIndustries

Requirements

Strong understanding of business and operational processes within Target’s Supply Chain and Target Marketplace
In-depth understanding of the various systems and processes that influence Digital order fulfillment speed & costs
Ability to design, develop, deploy and maintain data science models and tools
Experience working closely with applied data scientists, data analysts, business partners, engineers, and peer teams
Hands-on experience partnering across teams to define business problems, formalize them algorithmically, perform data discovery to insights/predictions, and prototype solutions
Proficiency in analyzing data to identify and propose feature enhancements, and designing/implementing features to improve product scope
Expertise in developing machine learning, optimization/statistical/Discrete event simulation models to solve problems in promise, allocation, and digital fulfillment on large data
Skills in integrating models into production code base with robust test coverage
Knowledge of modular architecture and good software development/engineering practices to enhance product performance
Ability to produce clean, efficient code based on specifications
Experience coordinating analysis, troubleshooting, and resolution of issues in models and software
Capability to generate analyses and project artefacts to document, archive, and communicate work and outcomes
Experience building self-service tools for error detection, diagnosis, and predictive metrics

Responsibilities

Develop and deploy scalable and reproducible data science models for a variety of business problems
Work hands-on and actively partner across the team – defining business problems, formalizing problems algorithmically, data discovery to insights/predictions, and prototyping solutions
Analyze data to identify and propose feature enhancements; design and implement features to improve product scope
Develop machine learning, optimization/statistical/Discrete event simulation models to solve problems in promise, allocation, and digital fulfillment on large data
Integrate models into production code base with robust test coverage
Adopt modular architecture and good software development/engineering practices to enhance overall product performance
Produce clean, efficient code based on specifications
Coordinate the analysis, troubleshooting, and resolution of issues in the models and software
Generate analyses and other project artefacts to document, archive, and communicate work and outcomes
Build self-service tools for error detection, diagnosis, and predictive metrics
Collaborate with Product, Tech, and business partners to solve retail challenges at scale for the fulfillment network
Continuously learn and understand evolving business needs in Supply Chain Data Science, particularly Digital Fulfillment Planning

Skills

Key technologies and capabilities for this role

Machine LearningStatisticsOptimizationPredictive AlgorithmsSupply Chain OptimizationData ScienceMathematical ModelingInventory ManagementTransportation Planning

Questions & Answers

Common questions about this position

What is the employment type for this Senior Data Scientist role?

This is a full-time position.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What are the key responsibilities for this Senior Data Scientist position?

You will design, develop, deploy, and maintain data science models and tools, work with applied data scientists, data analysts, and business partners, and collaborate with engineers to productionize fulfillment solutions for supply chain and logistics.

What is the company culture like at Target?

Target promotes a culture of mutual care and respect, values different voices, lifts each other up, and believes your unique perspective is important while building authentic and respectful relationships.

What makes a strong candidate for this Senior Data Scientist role?

Strong candidates will have experience developing scalable data science models, a deep understanding of supply chain processes, digital order fulfillment, and the ability to collaborate with product, tech, and business partners to solve retail challenges at scale.

Target

Retailer offering diverse consumer goods

About Target

Target Corporation is a retail company that offers a wide range of products, including clothing, electronics, home goods, and groceries, through nearly 2,000 stores and an online platform. Its "Design For All" philosophy allows it to provide high-quality, affordable products that cater to diverse customer needs. Target differentiates itself from competitors with its owned brands and the Target Circle loyalty program, which enhances customer engagement. The company's goal is to support sustainability and community initiatives by giving back 5% of its profits to local communities.

Minneapolis, MinnesotaHeadquarters

2005Year Founded

N/ACompany Stage

Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Sick Leave

Paid Holidays

Paid Vacation

401(k) Retirement Plan

Employee Discounts

Risks

Increased competition from online-only retailers like Amazon threatens Target's market share.

Rising labor costs due to new minimum wage laws could impact profit margins.

Supply chain vulnerabilities from geopolitical tensions may affect inventory and pricing strategies.

Differentiation

Target's 'Design For All' philosophy offers unique, high-quality products at affordable prices.

The Target Circle loyalty program enhances customer engagement and shopping experience.

Target's commitment to sustainability and community support sets it apart from competitors.

Upsides

Experiential retail and 'retailtainment' strategies can boost customer engagement and foot traffic.

Augmented reality integration offers immersive shopping experiences showcasing Target's unique designs.

Omnichannel retail strategies enhance customer experience by integrating online and offline shopping.

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