Data Scientist (Non C2C Only)

Looking for a non C2C contractor to fill a role with a major US retail healthcare provider. 60% of our past contractors placed have lead to full time employment positions on an internal data science team. High hourly rate!! Fully Remote! 40 hours a week, 9am-5pm EST. This contract runs through 2026 with strong possibility for contract extension into next year based on performance and business need. This is a non C2C position. We’re seeking a highly skilled and experienced Senior Data Scientist on a contract basis. This role will focus on creating ML forecast models using social media as main source of data. You’ll collaborate with cross-functional teams to contribute to advanced GenAI systems in a collaborative, fast-paced environment. Key Responsibilities • Design, develop, and deploy machine learning models to generate forecasts and predictive insights using social media and other alternative data sources. • Collect, clean, and process large-scale social media datasets to extract meaningful signals that can inform predictive models and trend detection. • Apply natural language processing and statistical modeling techniques to transform unstructured social data into features for forecasting and predictive analysis. • Conduct exploratory data analysis to identify relationships between social sentiment, emerging trends, and business outcomes. • Evaluate model performance and continuously improve accuracy, robustness, and reliability of forecasting models. • Communicate findings and insights to both technical and non-technical stakeholders and collaborate with data engineering, analytics, and product teams. Required Skills & Qualifications • 3+ years of experience in data science, machine learning, or predictive analytics roles. • Strong proficiency in Python and common machine learning libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. • Experience working with unstructured text data and applying NLP techniques such as sentiment analysis, topic modeling, or text classification. • Experience building forecasting or predictive models using large real-world datasets. • Ability to perform exploratory data analysis and translate findings into actionable insights. • Experience working independently and managing deliverables in a fully remote environment. Preferred Qualifications • Experience using social media data for trend analysis, forecasting, or consumer insight generation. • Familiarity with transformer-based NLP models or modern text analysis techniques. • Experience working with large-scale data pipelines or distributed data processing tools. • Background working with consumer, retail, or healthcare-related datasets.