Data Scientist

TL;DR

Data Scientist (Data Science/ML): Building predictive models, performing exploratory data analysis, and developing data-driven solutions with an accent on feature engineering, model validation, and A/B testing. Focus on designing robust models, analyzing large datasets, and collaborating with data engineers to ensure data quality and reproducibility.

Location: Remote within the United States

Salary: $68,500 - $119,750

Company

hirify.global delivers software and information solutions for project-based businesses, fostering a values-driven and inclusive culture recognized globally.

What you will do

• Build predictive models using classification, regression, clustering, and time series techniques
• Perform exploratory data analysis to uncover patterns and insights in large datasets
• Create features from structured and unstructured data to improve model performance
• Develop and validate models with proper evaluation metrics and cross-validation
• Conduct A/B tests and analyze experiments to measure product impact
• Build dashboards and reports to communicate findings to stakeholders

Requirements

• Must have 3-5 years of data science experience with hands-on model building and statistical analysis
• Strong proficiency in Python and SQL for data manipulation and analysis
• Experience with machine learning algorithms and feature engineering
• Ability to work with messy, real-world data and create clear visualizations
• Effective communication skills to present findings to technical and business audiences
• Must be eligible to work in the United States (E-Verify program)

Nice to have

• Experience with NLP, recommendation systems, or optimization problems
• Familiarity with cloud platforms such as AWS, Azure, or OCI
• Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field

Culture & Benefits

• Access to healthcare benefits and 401(k) plan with company match
• Paid vacation time and holidays
• Well-living programs and disability coverage
• Tuition reimbursement and supportive growth environment