Senior Data Scientist at Target

Bengaluru, Karnataka, India

Target Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, TechnologyIndustries

Requirements

  • Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields
  • 3-4+ years of relevant experience
  • Experience in applying a variety of machine learning techniques to solve complex problems in Marketing or related domain
  • Strong analytical thinking and data visualization skills
  • Ability to creatively solve business problems and innovate new approaches
  • Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements

Responsibilities

  • Collaborate with Product, Tech, and business partners to solve retail Marketing challenges at scale
  • Design, develop, deploy, and maintain data science models and tools
  • Work closely with engineers and data scientists to build and productionalize segmentation, redemption, and optimization models using ML and Generative AI
  • Continuously partner with data analysts and business partners to learn and address evolving Marketing challenges
  • Gain an in-depth understanding of systems and processes influencing Marketing incremental sales revenue and redemption
  • Analyse large datasets to derive insights for model improvements and solution development
  • Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact
  • Collaborate with the team to build and maintain complex software systems and tools
  • Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network
  • Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies
  • Coordinate the analysis, troubleshooting, and resolution of issues in models and software
  • Mentor junior team members

Skills

Machine Learning
Generative AI
Predictive Algorithms
Data Science
Python
Statistics
Optimization
Segmentation
Personalization

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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