E-Solutions

Fulltime Only Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fulltime Senior Data Scientist in Austin/Dallas, TX, with a contract duration of over 6 months. Pay rate is competitive. Requires 8+ years in data science, expertise in GCP, Python, SQL, and ML frameworks, and strong leadership experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Cloud #GCP (Google Cloud Platform) #Compliance #Data Science #Transformers #Python #AI (Artificial Intelligence) #Forecasting #Visualization #Public Cloud #Data Security #Programming #Monitoring #SQL (Structured Query Language) #BigQuery #Data Processing #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Data Analysis #ML (Machine Learning) #Classification #Data Governance #Databases #Security #Data Engineering #TensorFlow #PyTorch #Model Deployment #Azure #Deployment #Datasets #Data Pipeline
Role description
Fulltime - Senior Data Scientist with Vertax AI Senior Data Scientist Location: Austin / Dallas, TX Primary role is to analyze data and build machine learning models using GCP services like Vertex AI and BigQuery. Lead a team of Data scientists, guide and monitor for efficiency and productivity • Key responsibilities include the end-to-end project lifecycle, from defining business problems and collecting data to deploying and monitoring models, while collaborating with data engineers and business stakeholders to drive data-driven decisions. • Data analysis and visualization: Analyze large datasets to identify trends, patterns, and insights. Create data visualizations and reports to communicate findings to stakeholders. • Model development: Design, develop, and implement advanced statistical and machine learning models for tasks like forecasting, classification, and optimization using GCP tools and services. • Data pipeline and workflow management: Collaborate with data engineers to design and optimize data pipelines, and build their own data processing, transformation, and analysis pipelines. • Model deployment and monitoring: Deploy machine learning models into production environments on GCP and continuously monitor their performance • Extensive, hands-on experience of working on challenging AI/ML projects in an industry setting, from ideation to deployment • Highly proficient in programming (Python, SQL) and expert user of various AI/ML frameworks (scikit-learn, TensorFlow, PyTorch etc.) - it's a 100% hands-on role • Strong knowledge of ML foundations, Transformers, LLM architecture, prompting and fine tuning of LLMs • 8+ years of experience in data science and machine learning algorithms, building and deploying models and associated with entire lifecycle of model analysis/building/Deployment/assessment. Must have worked on 2/3 production projects as a Data Scientist • 3+ years of a Tech or DS lead role leading programs and/or technical teams • Good hands-on experience with Vertex AI, ML models, Vector databases, RAG. • Experience working with business and key stakeholders to understand model requirements and build accordingly • Strong commitment to work and ownership • Demonstrable impact of work on the business bottomline (money saved, efficiency gain, better security etc.) • Familiarity with at least one public cloud services (GCP, AWS, Azure), preference will be given to GCP and Vertex AI • Design, development and deployment of ML pipelines in the cloud • Experience with MLOps and operationalizing models in production, lifecycle management of models • Data governance: Adhere to data security and compliance standards. Behavioral skills: • Strong Analytical and problem-solving skills • Fast learner and adopter of new technologies • Open to feedback and willing to work on it • A team player, willing to wear different hats as the situation demands • Knows how to collaborate with various stakeholders, understands their requirements and translates it for the team • Strong communicator, within and outside the team