Sr Data Scientist - Search and Browse (NLP, Query Understanding, LLM's) at Target

Sunnyvale, California, United States

Target Logo
$95,000 – $205,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
RetailIndustries

Requirements

  • PhD or MS in Computer Science, Information Technology, Applied Mathematics, Physics or relevant industry work experience in a quantitative field
  • Exceptional coding/programming in Python or Java with advanced technical problem-solving skills
  • 3+ years of experience implementing end-to-end ML models and algorithms into production
  • Demonstrated experience implementing search
  • Understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory
  • Ability to perform data exploration and analysis (e.g., distributions, anomalies, simple visualizations)
  • Ability to implement algorithmic solutions given specifications, adhering to best practices in model development
  • Understanding and active adherence to foundational programming principles (best practices, unit tests, code organization, basics of CI/CD)
  • Ability to create well-maintainable and tested codebase with relevant documentation

Responsibilities

  • Work with business partners to provide solutions for business problems in a fast-paced and global environment
  • Design quality, flexible, and performant Data Science systems and services at scale
  • Architect Data Science solutions that capture, process, and mine huge datasets in the retail industry
  • Utilize cutting-edge machine learning algorithms and NLP techniques to improve Mobile and Web Search systems at Target
  • Influence by interacting within the Data Sciences team and with Product teams
  • Implement solutions within the scale and scope of the role
  • Contribute to Data Sciences’ and Target’s culture by modeling the culture
  • Perform modeling and data science, software/product development of highly performant code for Model Performance
  • Build core relevance engine and Data Science products that power Target’s digital experience (Search and Browse)

Skills

NLP
LLMs
Query Understanding
Machine Learning
Predictive Algorithms
Data Science
Software Development
Search Relevance

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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