Senior Data Scientist - Team & Ops at Target

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, TechnologyIndustries

Requirements

Bachelors/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or other related fields
4+ years of relevant experience
Background in supply chain, ecommerce, fintech (preferable but not mandatory)
Experience in delivering quick POCs with iterative improvement in product outcomes
Strong analytical thinking and data visualization skills
Ability to creatively solve business problems, innovating new approaches where required
Hands-on experience in deploying ML models with large-scale impact in commercial setting using standard ML Ops framework and tools
Good understanding of data structures and algorithms
Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark (additional knowledge of Scala, R, Java desired but not mandatory)
Expertise in at least one advanced AI areas like Deep Learning, NLP, Transformers, GenAI, Reinforcement Learning etc
Extensive experience in developing, refining, validating, deploying ML models to deliver measurable business outcomes
Good working knowledge of mathematical and statistical concepts, MILP, optimization, algorithms and computational complexity, data analysis, data mining, forecasting/predictive modeling, simulations, visualization

Responsibilities

Develop a strong understanding of business and operational processes within Target’s Team and Ops Finance portfolio
Develop and deploy scalable and reproducible data science models for answering variety of business problems
Work hands on and actively partner across the team – defining business problem, formalize the problem algorithmically, data discovery to insights/predictions and prototype solutions
Analyze data to identify and propose feature enhancements; design and implement features to improve scope of the product
Develop Machine Learning, NLP, GenAI, Optimization models to solve problems in payments, and taxation on large data
Integrate models into production code base with robust test coverage
Adopt modular architecture and good software development/engineering practices to enhance the 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

Skills

Data Science

Machine Learning

Predictive Algorithms

Statistics

Optimization

Python

Scalable Models

Data Analysis

Algorithm Design

Prototyping

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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