Highbrow Technology Inc

Data Scientist -W2

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position (W2/1099) for a long-term contract, remote in the US. Key skills include SQL, Python, statistics, and operational research techniques. Experience in data analysis and effective communication with stakeholders is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Wrangling #Forecasting #Documentation #Data Analysis #Statistics #Regression #Datasets #A/B Testing #Data Science #Data Quality #Automation #SQL (Structured Query Language) #Monitoring #Python
Role description
Data Scientist Location – US (Remote) Long term W2/1099 Job Description: Responsibilities - Analyze large, complex datasets to identify trends, opportunities, and key drivers of business outcomes. - Design and evaluate experiments (e.g., A/B tests), measurement frameworks, and KPI definitions. - Build and maintain reproducible analyses, dashboards, and reporting to enable ongoing monitoring. - Develop statistical and operational research models to support planning, forecasting, optimization, and prioritization. - Partner with stakeholders to translate business questions into analytical approaches, and present results in clear, actionable narratives. - Ensure data quality through validation, documentation, and clear assumptions in analysis. Minimum Requirements - Experience applying SQL to extract, transform, and analyze large-scale data. - Proficiency in Python for data analysis (e.g., data wrangling, statistical analysis, modeling, automation). - Strong foundation in statistics (e.g., hypothesis testing, regression, inference, experimental design). - Knowledge of operational research techniques (e.g., optimization, simulation, decision analysis) and ability to apply them to real business problems. - Demonstrated ability to communicate technical findings to non-technical audiences and influence decision-making. - Ability to manage multiple priorities in a fast-paced environment and deliver high-quality work within defined timelines.