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Data Scientist, Location: Remote, Duration: 5+ Months Contract

This role is for a Data Scientist with 8+ years of experience, offering a 5+ month remote contract. Key skills include Python, PySpark, and data modeling. A Master's or PhD in a quantitative discipline is preferred, along with experience in AWS S3.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Statistics #Matplotlib #Version Control #Pandas #Data Science #AWS S3 (Amazon Simple Storage Service) #PySpark #Databricks #Spark (Apache Spark) #Python #NumPy #Data Analysis #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #ML (Machine Learning) #Forecasting #NLP (Natural Language Processing)
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infomerica, Inc, is seeking the following. Apply via Dice today!

Hi ,

Please find the below role and share a suitable profile.

Role : Data Scientist

Location: REMOTE

Experience: 8+ Years

Duration: 5+ Months contract

Job Description:

Data scientists use a combination of technical and business skills to help brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling.

Essential Duties/Responsibilities:

Adhere to our culture of humility, curiosity, and impact

Process data using Python, PySpark, and Databricks

Develop purchase propensity models and product recommendation models

Learn the job while performing hands-on analytics and modeling

Help business partners make more profitable decisions based on customer and prospect insights

Working Conditions:

Fully remote

Minimum Requirements:

0-3 years of experience in data analysis or related field

Master s degree in a quantitative discipline or equivalent practical experience

Experience with statistical software and database languages

Preferred Qualifications:

Experience using data science to improve customer experience and business profitability

PhD in a quantitative discipline

Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines

Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing

Proficiency with version control

Experience with reading and writing data in AWS S3

Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking