7 data scientist product jobs at 6 companies in Charlotte, NC
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^Data Scientist - 6358123
Charlotte, North Carolina, United States
$62-$72/hrHybridFull Time, Temporary
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOE5+ years of work experience, expert Data Science proficiency, and an associate degree required. Agile Product Ownership and Business Analysis expertise and a bachelor's degree are preferred.
Data Science, Agile Product Ownership, Agile Business Analysis
Sunbelt RentalsNYSE: SUNB: Renting construction, industrial, and specialty equipment and tools.
5+ YOERequires 5+ years in data science or quantitative analytics, strong statistics, Python and SQL proficiency, production ML model experience, and ability to solve ambiguous problems independently.
Data Scientist - Corporate & Institutional Banking
Pittsburgh or Philadelphia or Cleveland or Birmingham or Wilmington or Charlotte or Houston
$86k-$173k/yrOnsiteFull Time
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
3+ YOE2–3 years of post‑graduate experience in data science or analytics; Python/R and SQL; Spark; Git; ML and GenAI; data product delivery and production deployment.
Vanguard: Global investment management and financial services provider.
3+ YOERequires MS or PhD in a quantitative field, 3+ years delivering production AI/ML solutions, 5+ years Python, Agentic AI, LLM, NLP, communication, and enterprise collaboration experience.
Agentic AI, Large Language Models (LLMs), Natural Language Processing (NLP), Python, RAG
Scout Motors: Designs and manufactures all-electric rugged SUVs and trucks.
12+ YOE12+ years applied data science or forecasting experience, MS/PhD or equivalent, strong probabilistic/time-series modeling, production ML experience, fluent Python and SQL, experience with sparse/cold-start forecasting, strong communication.
Belk: Operates a department store chain selling apparel and home goods.
2+ YOEBachelor's in quantitative field required,2+ years applied data science,proficiency in Python/R and SQL,experience with predictive modeling,experimentation,and deploying models to production.