New York Technology Partners

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Mid/Sr Level) in Denver, CO, for a 12-month contract. Candidates must have 5+ years of experience, strong skills in Python and SQL, and a Six Sigma Black Belt certification. Onsite work required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 9, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Denver, CO
-
🧠 - Skills detailed
#Consulting #Leadership #Datasets #Data Science #ML (Machine Learning) #Visualization #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Forecasting #Cloud #AWS (Amazon Web Services) #Python #AI (Artificial Intelligence) #Azure #Microsoft Azure
Role description
Position: Data Scientist (Mid/Sr Level) Location: Denver , CO Duration: 12 Months Contract Work Model: 100% Onsite Note: Client may request an in-person / F2F interview for final selection. Please screen candidates accordingly. Looking for strong Mid level Data Scientists with experience in operational analytics, AI/ML, and process optimization environments. Must Have: • 5+ years of Data Science / Advanced Analytics experience • Strong experience with Python, SQL, Machine Learning, Statistical Modeling, and Data Visualization • Experience working with large datasets and operational/business analytics • Six Sigma Black Belt Certification is mandatory • Strong analytical, problem-solving, and stakeholder communication skills • Experience presenting insights and recommendations to leadership teams • Experience working with cross-functional teams including operations, analytics, engineering, and product teams Preferred: • Experience in Contact Center Analytics, Customer Experience Analytics, or Operational Intelligence • Experience in Telecom, Cable, Hospitality, or Food & Beverage industries • Exposure to AI/ML-driven operational improvement initiatives • Experience with predictive analytics, KPI modeling, forecasting, and process optimization • Experience with cloud platforms such as Google Cloud Platform, AWS, or Microsoft Azure • Strong business-facing communication and consulting mindset