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Senior Data Scientist - Job Opportunity at Shipt

Birmingham, US
Full-time
Senior
Posted: March 25, 2025
Hybrid
USD 109,000-247,000 per year

Benefits

Comprehensive medical insurance with flexible options
Competitive dental and vision coverage
401(k) retirement plan with company contribution
Discretionary vacation policy for exempt employees
Paid holidays and sick leave
RSU equity compensation program
Hybrid work flexibility
Annual performance bonus potential

Key Responsibilities

Lead development and implementation of advanced machine learning models for pricing optimization
Design and analyze complex experiments across multiple business domains
Serve as ML domain expert and drive technical decision-making
Present data-driven recommendations to senior stakeholders
Guide technical project execution and influence team direction
Collaborate with cross-functional teams to solve strategic business challenges

Requirements

Education

PhD or Masters in Computer Science, Statistics, or related field

Experience

4+ years

Required Skills

Python development (4+ years) Machine learning model development and deployment Experiment design and analysis Statistical analysis Stakeholder presentation Technical project leadership
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Sauge AI Market Intelligence

Industry Trends

Retail tech sector is experiencing rapid transformation with AI/ML becoming central to pricing and customer experience optimization Growing emphasis on real-time pricing algorithms and dynamic adjustment capabilities in retail platforms Increased focus on experimentation frameworks and causal inference in tech companies

Salary Evaluation

The offered salary range is competitive for a senior data scientist role, particularly considering the hybrid work model and location flexibility. The wide range (109k-247k) suggests significant variance based on experience and impact potential.

Role Significance

Likely part of a specialized technical team of 5-8 data scientists within the larger Foundations organization
Senior individual contributor role with significant technical leadership and strategic input expectations

Key Projects

Price optimization algorithm development A/B testing framework implementation Causal inference analysis for business decisions ML model deployment and monitoring systems

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex technical concepts for business stakeholders Experience with end-to-end ML project lifecycle Proven track record of delivering measurable business impact

Market Demand

High demand position with increasing market competition for senior ML talent in retail tech. Companies are actively expanding their data science teams to enhance pricing and optimization capabilities.

Important Skills

Critical Skills

Advanced ML modeling - Essential for developing sophisticated pricing algorithms Experimentation design - Critical for validating business impact Python expertise - Core technology stack requirement Communication skills - Key for stakeholder management and influence

Beneficial Skills

Cloud computing platforms Real-time system architecture Retail domain knowledge Causal inference techniques

Unique Aspects

Direct involvement in core pricing strategy for a major retail platform
Opportunity to impact millions of customer transactions
Backing of Target Corporation while maintaining startup-like autonomy
Multi-city presence with flexible work arrangements

Career Growth

2-4 years in role before advancement, depending on impact and organizational growth

Potential Next Roles

Principal Data Scientist Machine Learning Engineering Manager Head of Data Science Technical Director

Company Overview

Shipt

Shipt is a Target-owned retail technology company focusing on personalized delivery services, competing in the growing on-demand retail space

Major player in the retail delivery sector with strong backing from Target Corporation
Significant presence in over 5,000 U.S. cities with key tech hubs in Birmingham, San Francisco, and Minneapolis
Technology-driven environment with emphasis on innovation and cross-functional collaboration, balanced with work-life flexibility
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