Data Scientist

Jobtailor; Lehi (UT); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in Lehi, Utah, seeks a data scientist to analyze datasets, build models, and drive data-driven product decisions. You will partner with data engineers and product teams to deliver end-to-end analytical solutions and validate data for experiments and reporting.

The role emphasizes practical ML applications and scalable analytics capabilities. The ideal candidate brings 2–4 years of data science experience, strong Python and SQL skills, and a solid foundation in statistical methods, data

Qualifications

• 2–4 years’ experience in data science, analytics, statistical modeling, or related field including internships or projects.
• Proficient in Python and SQL
• Strong understanding of statistical methods, model evaluation, and analytical problem-solving
• Experience identifying patterns, testing hypotheses, and communicating findings
• Familiarity with data warehousing, data processing workflows, and cloud data platforms
• Experience with data visualization tools and reporting platforms

Responsibilities

• Analyze structured and unstructured datasets to identify trends and answer business questions
• Develop, test, and refine statistical and analytical models
• Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
• Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
• Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
• Evaluate new data sources and analytical methods
• Document analytical approaches and communicate findings
• Support deployment and ongoing improvement of data science solutions

Skills

Data Science

Statistical Modeling

Python Programming

SQL Proficiency

Machine Learning

Data Visualization

Analytical Problem-Solving

Communication Skills

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or related field

Equivalent practical experience

Tools

Pandas

NumPy

scikit-learn

Power BI

Tableau

MicroStrategy

AI Tools

ML Frameworks

Job description

• Analyze structured and unstructured datasets to identify trends and answer business questions
• Develop, test, and refine statistical and analytical models
• Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
• Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
• Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
• Evaluate new data sources and analytical methods
• Document analytical approaches and communicate findings
• Support deployment and ongoing improvement of data science solutions

Requirements

• 2–4 years’ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience
• Working knowledge of Python and SQL
• Understanding of statistical methods, model evaluation, and analytical problem-solving
• Experience identifying patterns, testing hypotheses, and communicating actionable findings from datasets
• Familiarity with database concepts, data warehousing, or data-processing workflows
• Strong written and verbal communication skills
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience
• Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI
• Experience with pandas, NumPy, scikit-learn, or similar analytical tools
• Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services
• Experience applying AI or machine learning to practical business, product, or customer use cases
• Exposure to R or other data science and statistical tools
• Experience with Power BI, Tableau, or MicroStrategy
• Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows

Core Competencies

Demonstrates expertise in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL. Capable of collaborating with cross-functional teams to develop and implement data-driven solutions that address business needs.

Highest-signal resume keywords

• Data Analysis
• Statistical Modeling
• Python Programming
• SQL Proficiency
• Machine Learning

ATS Optimization Keywords

Hard Skills

• Data Science
• Statistical Methods
• Model Evaluation
• Data Cleaning
• Data Transformation
• Pattern Identification
• Hypothesis Testing
• Analytical Problem-Solving
• Data Visualization
• Cloud-Based AI Services

Soft Skills

• Strong Communication Skills

Industry Keywords

• Data Warehousing
• Data Processing Workflows
• Distributed Data Processing
• Business Use Cases
• Analytics Capabilities

Tools & Technologies

• Pandas
• NumPy
• Scikit-Learn
• Power BI
• Tableau
• MicroStrategy
• AI Tools
• Machine Learning Frameworks