Droisys

Data Scientist with Python ML Pyspark Some Gen AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with Python, ML, and PySpark, based in Palo Alto, CA. Contract length is unspecified, with a pay rate of $40-$45/hr. Key skills include machine learning, big data processing, and generative AI experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
360
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πŸ—“οΈ - Date
November 6, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Palo Alto, CA
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🧠 - Skills detailed
#Model Deployment #Python #Scala #Cloud #Microsoft Power BI #Big Data #Data Science #Azure #Strategy #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #TensorFlow #Data Engineering #Data Pipeline #Pandas #Computer Science #Visualization #Deployment #Spark (Apache Spark) #BI (Business Intelligence) #PySpark #NumPy #Datasets #Agile #AWS (Amazon Web Services) #Statistics #PyTorch #Data Processing #Tableau #Programming #ML (Machine Learning)
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 Python ML Pyspark some Gen AI Palo Alto, CA -Onsite Rate Range $40 to $45 hr W2 All Inc About the Role We are looking for a passionate and skilled Data Scientist to join our dynamic analytics and AI team in Palo Alto, CA. The ideal candidate will have strong experience in Machine Learning, Python, PySpark, and exposure to Generative AI technologies. You will work closely with cross-functional teams to design, develop, and deploy data-driven solutions that power intelligent business decisions. Key Responsibilities β€’ Design, build, and optimize machine learning and predictive models to solve business challenges. β€’ Work with large-scale datasets using PySpark, optimizing data pipelines for performance and scalability. β€’ Develop and implement Generative AI use cases (e.g., LLMs, embeddings, prompt engineering). β€’ Collaborate with data engineers, analysts, and product teams to identify data opportunities. β€’ Communicate insights clearly through visualizations and presentations to stakeholders. β€’ Stay updated on latest trends in AI/ML and apply innovative approaches to improve model performance. Required Skills & Qualifications β€’ Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. β€’ Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch). β€’ Proven experience with PySpark for big data processing. β€’ Hands-on experience in Machine Learning model development and deployment. β€’ Exposure to Generative AI (LLMs, fine-tuning, prompt design, or related frameworks). β€’ Strong analytical and problem-solving abilities with attention to detail. β€’ Excellent communication and collaboration skills. Nice to Have β€’ Experience with cloud platforms (AWS, GCP, or Azure). β€’ Familiarity with MLOps frameworks and model deployment pipelines. β€’ Experience in data visualization tools (Power BI, Tableau, or similar). 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.