Senior Data Scientist (AI)

Location: 221 River Street, Hoboken, NJ 07030, United States

Salary: $115,835–$216,000 per year, plus annual or quarterly performance incentives.

Company

hirify.global provides marketing and advertising analytics within Walmart's business ecosystem.

What you will do

• Develop, analyze, validate, and refine statistical, machine learning, predictive, and Marketing Mix Models for large-scale business and marketing datasets.
• Evaluate marketing investments, campaign performance, channel contribution, business outcomes, and optimization opportunities.
• Perform regression, time-series, forecasting, causal inference, and quasi-experimental analyses, including Difference-in-Differences.
• Use Python and SQL to extract, transform, clean, validate, and analyze large datasets; perform exploratory analysis and feature engineering.
• Apply AI and machine learning techniques to structured and semi-structured data in cloud-based environments.
• Collaborate with cross-functional stakeholders, communicate complex findings to senior leadership, and translate insights into business actions.

Requirements

• Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering, Applied Data Science, or a related field and 1 year of analytics-related experience; or bachelor’s degree or equivalent in one of these fields and 3 years of analytics-related experience.
• Experience with statistical modeling and predictive analytics using regression techniques for large-scale business and marketing datasets.
• Experience with Python, including Pandas, NumPy, and Scikit-learn, for data processing, modeling, and analysis.
• Experience with SQL and relational database querying for extraction, transformation, and aggregation of large datasets.
• Experience with exploratory data analysis, data cleaning, feature engineering, machine learning model validation, and performance evaluation.
• Experience with time-series analysis, forecasting, causal inference, and quasi-experimental methods, including Difference-in-Differences.
• Experience with marketing and business analytics, ROI measurement, channel contribution analysis, controlled experiments, and A/B testing.
• Experience integrating and handling large datasets from multiple sources, using data visualization and reporting tools, and working with cloud-based data platforms.
• Any amount of experience with the required skills will be accepted.

Culture & Benefits

• Full-time employment with medical, vision, and dental coverage.
• 401(k), stock purchase plan, company-paid life insurance, and performance-based incentive awards.
• Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
• Short- and long-term disability coverage, education assistance with 100% company-paid college degrees, company discounts, military service pay, and adoption expense reimbursement.
• Benefits eligibility may depend on job classification and length of employment and may be subject to plan terms.