Droisys

Data Scientist with DataBricks Experience

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with DataBricks experience in Plano, TX, for a 6-month contract at $40-$47/hr. Key skills include Python, Spark, GenAI, LLMs, MongoDB, and ML model development. Onsite work required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
376
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🗓️ - Date
November 22, 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
Plano, TX
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🧠 - Skills detailed
#Neural Networks #Strategy #Scripting #Model Deployment #Databricks #Monitoring #Linux #Azure #Unix #Scala #Hadoop #Azure cloud #Agile #Deployment #Automation #Logistic Regression #Datasets #Shell Scripting #NoSQL #MongoDB #Regression #PySpark #ML (Machine Learning) #Libraries #Data Science #Python #Cloud #Spark (Apache Spark) #A/B Testing #Databases
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 experience Plano, TX (5 Days Onsite) Interview Mode:-Phone & F2F Rate Range $40 to $47 hr W2 All Inc Job Overview We are seeking a highly skilled, independent, and results-driven Data Scientist with strong expertise in GenAI, LLMs, Python, Spark, Databricks, and End-to-End ML Model Development. The ideal candidate will be capable of translating business needs into scalable analytical solutions and delivering production-grade machine learning models. Key Responsibilities • Build statistically sound analyses and production-ready ML models. • Develop and optimize models using H2O frameworks (XGBoost, Logistic Regression, Neural Networks, Random Forest). • Work extensively with MongoDB and NoSQL datasets. • Design, develop, and maintain ML training pipelines and support ML model deployment. • Utilize Databricks, Hadoop ecosystem, and PySpark for large-scale data preparation and modeling. • Implement advanced ML concepts such as: • Real-time distributed model inferencing pipelines • A/B Testing • Champion/Challenger frameworks • Develop scalable workflows using Python, Spark, and related libraries. • Use Unix/Linux and shell scripting for automation and environment management. • Support ML production implementation, monitoring, and troubleshooting. • Deliver high-quality solutions with strong attention to detail and timely execution. Required Skills & Qualifications • Python & Spark Expertise • Databricks & PySpark Experience • GenAI & LLM Knowledge • H2O Model Development (XGBoost, Logistic Regression, Neural Networks, Random Forest) • MongoDB / NoSQL Databases • Hadoop Ecosystem • ML Pipeline Development & Deployment • Real-Time Model Inferencing • Champion/Challenger Frameworks & A/B Testing • Unix/Linux & Shell Scripting • DS/ML Production Implementation Preferred Skills • Azure Cloud experience • Advanced experience with Databricks in cloud environments 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.