Senior Data Engineer (Data Science)

TL;DR

Senior Data Engineer (Data Science): Developing data pipelines and analytical frameworks to extract business insights from complex datasets with an accent on machine learning, statistical modeling, and A/B testing. Focus on designing experiments, implementing ML models, and optimizing data preparation for high-impact business outcomes.

Location: Atlanta, GA, US (Remote flexibility). Must be based in the US.

Company

hirify.global provides cloud-based software and services to help nonprofits and associations manage fundraising, events, and community engagement.

What you will do

• Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
• Clean, preprocess, and transform raw data for analysis and modeling.
• Collaborate with product managers, engineers, and business leaders to translate business problems into analytical frameworks.
• Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
• Research and propose innovative AI and machine learning approaches for complex problems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 5+ years of experience in data science or a related field.
• Proficiency in Python or R for data analysis and statistical modeling.
• Strong experience with data manipulation (Pandas, NumPy) and ML libraries (Scikit-Learn, TensorFlow, PyTorch).
• SQL proficiency for data extraction and transformation.
• Must be eligible to work in the United States without sponsorship.

Nice to have

• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with big data technologies like Spark or Hadoop.

Culture & Benefits

• Comprehensive Medical, Dental, and Vision benefits.
• 401(k) Savings Plan with company match.
• Flexible planned paid time off and generous sick leave.
• Employer-paid parental leave and short-term disability.
• Purpose-driven culture with a strong commitment to work-life balance and community involvement.