Primary Services

Data Scientist - Pyspark & Databricks

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in PySpark and Databricks, offering a fully remote contract for an unspecified length at an hourly pay rate. Requires a Master’s degree or equivalent experience, proficiency in Python, and knowledge of statistical methods.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#PySpark #Python #Databricks #Pandas #Spark (Apache Spark) #NLP (Natural Language Processing) #Cloud #Forecasting #Libraries #NumPy #Datasets #Version Control #Data Science #Data Analysis #ML (Machine Learning) #Matplotlib
Role description
Join a forward-thinking organization that combines innovation, flexibility, and purpose. Enjoy a fully remote role with a people-centered culture and outstanding opportunities for growth. This is your chance to shape the future of data-driven energy while working alongside passionate professionals from across the country. Primary Services is looking for a dynamic Data Scientist to support our prestigious client in the energy and technology sector. This role provides the rare opportunity to work at the intersection of advanced analytics and real-world impact, driving smarter decisions across consumer-focused energy brands. Candidates will apply statistical and machine learning techniques while learning and growing in a collaborative, high-performance environment. Responsibilities: • Work hands-on with Python, PySpark, and Databricks to process and analyze large datasets. • Develop, refine, and deploy models and dashboards that guide strategic and financial decisions. • Apply statistical methods, forecasting, and machine learning to understand customer behavior. • Support cross-functional initiatives by delivering insights that enhance customer experiences and business outcomes. • Embrace a collaborative culture rooted in humility, curiosity, and impact. • Learn while doing, applying best practices in data science in real-time business scenarios. Qualifications: • Master’s degree in a quantitative discipline or equivalent hands-on experience. • 0–3 years of experience in data analysis, modeling, or related roles. • Proficiency with statistical software and database query languages. • Experience with Python data libraries (e.g., NumPy, pandas, scikit-learn, XGBoost, Matplotlib). • Knowledge of PySpark and cloud-based data environments. • Familiarity with statistical frameworks including frequentist and Bayesian methods, forecasting, causal inference, and NLP. • Strong communication and collaboration skills across functions. • Proficiency with version control systems is preferred. • PhD in a quantitative field is a plus. Want to be notified of similar positions? Visit www.primaryservices.com/signup/ to sign up and have notifications delivered straight to your inbox!