Ampstek

Contract On W2 Only :: Sr. Data Scientist / Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Contract Sr. Data Scientist/Data Analyst position for USC/GC/H4EAD/L2S candidates, lasting 10+ years of experience, with a focus on AI/ML, data storytelling, and personal investment banking expertise. Location: Remote (Dallas, TX or Pittsburgh, PA); W2 contract only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
February 13, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Remote
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Data Pipeline #Data Storytelling #Storytelling #AI (Artificial Intelligence) #Databases #Datasets #Data Science #NLP (Natural Language Processing) #Regression #Computer Science #Visualization #Classification #"ETL (Extract #Transform #Load)" #Data Analysis #ML (Machine Learning) #Clustering
Role description
Need USC/GC/H4EAD / L2S Hi , Hope you are doing well. I came across your resume from one of the job portals and I have a position which you might be interested in. If you think you are a good fit for this role, then inbox me your updated resume. Position: Sr. Data Scientist / Data Analyst Location : Dallas, TX and Pittsburgh, PA (Remote) Duration: Contract (Only W2 Contract) Job Description: Total Experience :: 10+yr β€’ 3+years of experience in AI/ML engineering or software development. β€’ Experience with data storytelling through visualization. β€’ Experience in designing and executing end to end experiments β€’ Experience with vector databases, data pipelines, and retrieval systems. β€’ Knowledge of LLMs, GenAI, Prompt Engineering and Agentic AI. β€’ Strong problem-solving skills and eagerness to learn new AI techniques and frameworks. β€’ Domain expertise in Personal Investment Banking (Preferable) Key Responsibilities β€’ Design, develop, and deploy machine learning models that solve real-world problems. β€’ Extract, clean, and preprocess large, unstructured datasets from various internal and external sources. β€’ Conduct deep-dive analyses to identify hidden trends, anomalies, and patterns that drive strategic decision-making. β€’ Build, train, and validate predictive models and machine learning algorithms (e.g., regression, classification, clustering, NLP). β€’ Perform and lead analyses of historical data to surface trends and insights using advanced analytical methods. β€’ Mentor, coach, train, and develop data scientists / analysts. Proactively expand knowledge of business and analytics and shares with team members. Required Qualifications β€’ Experience: 6+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. β€’ Education: Master’s degree in Computer Science, Data Science, Engineering, or a quantitative field. β€’ Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.