Senior Data Scientist – Search & NLP (Applied ML)

Target; Brooklyn Park (MN); Hybrid; USD 93,800 - 202,600; Full time

Benefits offered by this job

Comprehensive health benefits

401(k) plan

Employee discount

Paid vacation

Job summary

Target is looking for a Senior Data Scientist in Brooklyn Park, Minnesota, to enhance their digital experience through innovative Data Science solutions. As part of a dynamic global team, you will develop and implement machine learning models, work with extensive datasets, and improve search and recommendation systems.

The ideal candidate should hold a PhD or MS in a quantitative field, possess strong coding skills in Python or Java, and have experience in search indexing and machine learning. This role offers opportunities for remote and hybrid work arrangements, contributing to evolving technology at Target.

Qualifications

• 3+ years of experience implementing machine learning models into production.
• Proficient in Python or Java with advanced coding skills.
• Research or industry experience in information retrieval or machine learning.

Responsibilities

• Design high-quality Data Science systems and services at scale.
• Apply foundational knowledge of machine learning algorithms to perform data analysis.
• Collaborate with business partners to provide solutions for business problems.

Skills

Machine Learning

Python

Java

Data Analysis

NLP

SQL

Education

4-year degree in Quantitative disciplines

PhD or MS in Computer Science or related field

Job description

Target is looking for a Senior Data Scientist in Brooklyn Park, Minnesota, to enhance their digital experience through innovative Data Science solutions. As part of a dynamic global team, you will develop and implement machine learning models, work with extensive datasets, and improve search and recommendation systems.

The ideal candidate should hold a PhD or MS in a quantitative field, possess strong coding skills in Python or Java, and have experience in search indexing and machine learning. This role offers opportunities for remote and hybrid work arrangements, contributing to evolving technology at Target.