Data Engineer III

Momentive Software•Atlanta, GA

1d•Remote

About The Position

Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive’s cloud-based software and services to address their most pressing challenges – from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe "good enough" is never enough – so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com.

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.
Hands-on experience with data analysis, machine learning, and statistical modeling.
Proficiency in Python, R or similar technologies for data analysis and modeling.
Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
SQL proficiency for data extraction and transformation.

Nice To Haves

Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.

Responsibilities

Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
Communicate findings and recommendations through reports, dashboards, and presentations.
Clean, preprocess, and transform raw data for analysis and modeling.
Collaborate with data engineering teams to ensure data availability and quality.
Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.
Translate business problems into analytical frameworks.
Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
Provide statistical rigor in experimentation and decision-making.
Stay up-to-date with the latest developments in data science, machine learning, and AI.
Propose innovative approaches and solutions for complex problems.
Other duties as assigned