Droisys

Data Scientist with Databricks and Pyspark Experience

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with Databricks and Pyspark experience in Palo Alto, CA, offering $40 to $45/hr for a W2 contract. Key skills include Python, ML model deployment, Hadoop, and experience with MongoDB and GenAI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date
October 24, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Palo Alto, CA
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🧠 - Skills detailed
#Linux #ML (Machine Learning) #NoSQL #Neural Networks #PySpark #Azure #Azure cloud #Unix #Scripting #Data Science #Databricks #Python #Libraries #Spark (Apache Spark) #Regression #Datasets #Shell Scripting #SQL (Structured Query Language) #Logistic Regression #Strategy #Hadoop #Agile #A/B Testing #Model Deployment #Cloud #MongoDB #Deployment
Role description
About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Data Scientist with Databricks and Pyspark experience Palo Alto, CA Interview Mode:-Video and Face to Face Rate Range $40 to $45 hr W2 All Inc Job Overview: • Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models • DS skills with GenAI and LLM Knowledge, • Experience building H2O models (xgboost, logistic regression, neural networks, random forest) • Experience with MongoDB and NO-SQL Datasets. • Experience in Hadoop ecosystem, Databricks and Pyspark • Expertise in Python/Spark and their related libraries and frameworks • Experience in building training ML pipelines and efforts involved in ML Model deployment • Experience in other ML concepts – Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model • Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting • Familiar with DS/ML Production implementation. • Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks. • Azure cloud and Databricks prior knowledge will be a big plus. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.