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Data Scientist

This role is a Sr. Data Scientist for an 18-month remote contract, requiring a Master's degree and 5+ years of experience in data science, SQL, and Python. Key skills include time series modeling, machine learning, and cloud environments (GCP preferred).
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 8, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Forecasting #Python #AWS (Amazon Web Services) #Cloud #Datasets #Time Series #SQL (Structured Query Language) #Data Science #Azure #ML (Machine Learning) #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Data Modeling
Role description
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Sr. Data Scientist (100% Remote)

Excellent opportunity with a global company! You will support the Sr. Manager of Quantitative Research on a team tasked with pricing digital banner ads for vendors on a major e-commerce site. You will focus on Data Science financials, e-commerce metrics, and solving challenges. This will be a crucial part in supporting and driving growth in a critical organization within the enterprise.

This is an 18-month contract (potential to extend or convert to perm).

This is a 100% remote role.

You must live in the U.S. & work EST or CST hours.

RESPONSIBILITIES:
• Translate data into insights, actions, & recommendations
• Data analytics with large volumes of data
• Data modeling, cleansing, validation, & testing
• Collaborate with teams (Engg UX, & Product Management) to create solutions
• Vision building & forecasting
• Expanding capabilities and building and executing new algorithms

REQUIREMENTS:
• Master's Degree in a related field
• 5+ years as a Data Scientist working with large datasets
• 5+ years with SQL & Python
• Experience working in an enterprise e-commerce or digital analytics space
• Time Series model/forecasting experience (N-Beats, ARIMA, SARIMA, Sarimax, Prophet, Exponential Smoothing, XGBoost, Neural Nets, LSTM, etc.)
• Machine Learning / AI skills
• Cloud environment experience (GCP
• preferred, AWS, or Azure)
• Ability to communicate complex ideas to both technical and non-technical end users

PREFERRED SKILLS:
• Digital Monetization

W2 ONLY; NO 3rd Parties / C2C / Visa Sponsorship