Data Scientist

Jobtailor; Las Vegas (NV); On-site; USD 90,000 - 150,000; Full time

Job summary

Jobtailor in Las Vegas seeks a data science professional to translate business questions into analytical solutions. You will build predictive models for demand, customer behavior, and marketing effectiveness, and design scalable datasets and data products.

You will work with large datasets, explore AI-enabled workflows, validate outputs, and communicate findings to technical and non-technical audiences across marketing, revenue, and customer analytics.

Qualifications

• 3+ years of relevant experience in data science, advanced analytics, analytics engineering, data engineering, or a related technical field
• Strong SQL skills and ability to independently explore, transform, validate, and analyze complex datasets
• Experience with Python or another programming language commonly used for data science and analytics
• Experience with predictive modeling, machine learning, forecasting, experimentation, optimization, analytical data modeling, and/or data architecture
• Familiarity with modern cloud data platforms and analytical development workflows
• Familiarity with BI and visualization platforms and how analytical solutions reach business users
• Practical familiarity with generative AI and AI-assisted development or analytical tools, including their capabilities and limitations
• Strong analytical curiosity and willingness to investigate unfamiliar datasets and business problems
• Strong collaboration and communication skills
• No educational credential explicitly required

Responsibilities

• Partner with analysts and business stakeholders to translate complex business questions into analytical solutions, models, and data products
• Develop predictive and statistical models for demand, customer behavior, marketing effectiveness, revenue opportunities, and other business outcomes
• Design and develop scalable analytical datasets, data models, and structures
• Work with large and complex datasets to identify trends, relationships, data quality issues, and actionable opportunities
• Explore, develop, and scale AI-enabled analytical workflows
• Critically evaluate and validate AI-generated outputs
• Communicate technical concepts, assumptions, and recommendations to technical and non-technical audiences
• Build and scale analytical capabilities across marketing, ticketing, revenue, digital, and customer analytics

Skills

SQL Skills

Predictive Modeling

Python Programming

AI-Enabled Analytical Workflows

Data Engineering

Tools

Cloud Data Platforms

BI Platforms

Visualization Platforms

AI-Assisted Development Tools

Job description

• Partner with analysts and business stakeholders to translate complex business questions into analytical solutions, models, and data products
• Develop predictive and statistical models for demand, customer behavior, marketing effectiveness, revenue opportunities, and other business outcomes
• Design and develop scalable analytical datasets, data models, and structures
• Work with large and complex datasets to identify trends, relationships, data quality issues, and actionable opportunities
• Explore, develop, and scale AI-enabled analytical workflows
• Critically evaluate and validate AI-generated outputs
• Communicate technical concepts, assumptions, and recommendations to technical and non-technical audiences
• Build and scale analytical capabilities across marketing, ticketing, revenue, digital, and customer analytics

Requirements

• 3+ years of relevant experience in data science, advanced analytics, analytics engineering, data engineering, or a related technical field
• Strong SQL skills and ability to independently explore, transform, validate, and analyze complex datasets
• Experience with Python or another programming language commonly used for data science and analytics
• Experience with predictive modeling, machine learning, forecasting, experimentation, optimization, analytical data modeling, and/or data architecture
• Familiarity with modern cloud data platforms and analytical development workflows
• Familiarity with BI and visualization platforms and how analytical solutions reach business users
• Practical familiarity with generative AI and AI-assisted development or analytical tools, including their capabilities and limitations
• Strong analytical curiosity and willingness to investigate unfamiliar datasets and business problems
• Strong collaboration and communication skills
• No educational credential explicitly required

Core Competencies

Demonstrates expertise in developing predictive models and analytical solutions using SQL and Python, while effectively communicating insights to diverse audiences. Proficient in leveraging AI-enabled workflows and modern cloud data platforms to enhance analytical capabilities across various business functions.

Highest-signal resume keywords

• SQL Skills
• Predictive Modeling
• Python Programming
• AI-Enabled Analytical Workflows
• Data Engineering

Hard Skills

• Predictive Modeling
• Machine Learning
• Data Architecture
• Analytical Data Modeling
• Data Transformation
• Data Validation
• Data Analysis
• Forecasting
• Optimization
• Experimentation

Soft Skills

• Analytical Curiosity
• Collaboration
• Communication

Industry Keywords

• Data Science
• Advanced Analytics
• Analytics Engineering
• Customer Analytics
• Marketing Effectiveness

Tools & Technologies

• Cloud Data Platforms
• BI Platforms
• Visualization Platforms
• AI-Assisted Development Tools