

orangepeople
Data Scientist V
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist V with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Key skills include SQL, Python, and statistics. Experience in operational research and ability to communicate findings are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
800
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🗓️ - Date
July 2, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Wrangling #Forecasting #Lean #Strategy #Security #Monitoring #Python #Base #Documentation #Statistics #AI (Artificial Intelligence) #SQL (Structured Query Language) #Data Analysis #A/B Testing #Automation #"ETL (Extract #Transform #Load)" #Regression #Datasets #Data Science #Data Quality #Consulting
Role description
We are on the hunt for a Data Scientist to support analytics and data-driven decision-making across cross-functional stakeholders. In this role, you will analyze large datasets, develop insights and measurement approaches for new product innovation and iterations, and communicate findings to inform strategy and execution.
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.
Benefits
• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities
• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
About Us
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
We are on the hunt for a Data Scientist to support analytics and data-driven decision-making across cross-functional stakeholders. In this role, you will analyze large datasets, develop insights and measurement approaches for new product innovation and iterations, and communicate findings to inform strategy and execution.
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.
Benefits
• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities
• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.
About Us
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.






