

Ampstek
Contract On W2 Only :: Sr. Data Scientist / Data Analyst
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 13, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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: Masterβs 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.
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: Masterβs 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.






