Senior Data Scientist (Data Science)

Location: Washington, D.C., District of Columbia, United States; hybrid work with East Coast (ET) hours

Company

hirify.global is a boutique market research and data analysis consulting firm focused on customer experience analytics, innovation testing, and data visualization for international clients, particularly US-based Fortune 500 companies.

What you will do

• Support quantitative research and consulting projects from planning through data analysis, modeling, and insights-based reporting.
• Collaborate with data scientists, designers, and project managers to derive structure and knowledge from complex datasets across multiple industries.
• Build, deploy, and automate classification, regression, and forecasting algorithms, as well as automated reports and analyses.
• Transform large volumes of internal and external data for analysis and perform complex ad-hoc and recurring analyses.
• Research new data sources, analytical tools, and data science and engineering methodologies.
• Communicate with clients, deliver insights-based reports, and provide expert guidance to analysts and sales directors.

Requirements

• Bachelor’s degree from a top university.
• 5–7 years of professional experience as a project-oriented data analyst or data scientist.
• Excellent problem-solving skills, including identifying causes and recommending solutions quickly.
• Strong quantitative background and ability to learn new technologies.
• High-level Python, modeling and machine learning, statistics, and SQL skills.
• Demonstrated experience with common Python packages for data analysis and modeling.
• Fluent and idiomatic written and spoken English.

Nice to have

• MA/MS in Data Science, Computer Science, Business Analytics, or another quantitative field.
• Excel skills including VBA, Power Pivot, Power Query, and DAX.
• Data visualization experience with Tableau or Power BI.
• Experience with Pandas, NumPy, scikit-learn, XGBoost, Jupyter, Dask, PySpark, or similar tools.
• Expertise in a data science domain such as geospatial analytics, dashboards, text analytics, causal inference, or cloud computing.

Culture & Benefits

• Hands-on consulting work with direct client engagement and senior-stakeholder delivery.
• Interdisciplinary collaboration across data science, design, and project management.
• Exposure to complex datasets and real-world problems across financial services, specialty retail, telecommunications, hospitality, and software.
• Work is organized around Washington, D.C. hybrid arrangements and East Coast (ET) hours.