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Senior Data Scientist

ActiveCampaign, LLC

Job Overview

Location

Krakow

Job Type

Full-time

Full Job Description

📋 Description

• Architect the next generation of agentic AI systems that autonomously execute marketing strategies for thousands of small businesses worldwide, turning enterprise-grade capabilities into accessible tools.
• Design and implement foundational AI data platforms and robust MLOps pipelines capable of handling high-volume model training, evaluation, and real-time inference at global scale.
• Build end-to-end, production-ready agentic AI systems from ideation through deployment, ensuring reliability, observability, and continuous improvement in a live SaaS environment.
• Advance ActiveCampaign’s LLM capabilities by leading research and implementation of RAG architectures, fine-tuning strategies, RLHF workflows, and emerging techniques that keep the product on the cutting edge.
• Conduct deep statistical analysis on billions of marketing touchpoints to uncover causal drivers of campaign success, translating insights into actionable product features and measurable business impact.
• Partner directly with product managers, designers, and full-stack engineers to integrate AI models into customer-facing workflows, shipping features that materially improve revenue and retention for SMB customers.
• Champion data governance, privacy, and ethical AI practices across the organization, ensuring models are fair, explainable, and compliant with global regulations.
• Contribute to Krakow’s new office culture by mentoring junior data scientists, leading internal tech talks, and shaping engineering standards in a flat, collaborative hierarchy.
• Stay ahead of the rapidly evolving AI landscape—experimenting with new libraries, papers, and cloud services—then distill findings into pragmatic solutions that ship to production within weeks, not quarters.
• Own the full lifecycle of experimentation: formulate hypotheses, design A/B tests, analyze results, and iterate quickly to optimize model performance and customer outcomes.
• Present findings to executive leadership and external stakeholders, translating complex technical concepts into clear narratives that influence roadmap priorities and strategic investments.
• Collaborate with Customer Success and Marketing teams to gather qualitative feedback, ensuring AI agents solve real-world pain points and deliver delightful user experiences.

🎯 Requirements

• 7+ years of hands-on experience in data science or machine learning, with a proven record of shipping production models that drive measurable business value.
• Demonstrated success architecting scalable data pipelines and ML platforms using Python (scikit-learn, TensorFlow, PyTorch, Hugging Face) and advanced SQL in cloud environments.
• Direct experience with agentic systems, NLP, or deep learning, including RAG architectures, fine-tuning, RLHF, and comprehensive model evaluation frameworks.
• Strong statistical analysis skills and the ability to translate complex datasets into actionable insights that influence product strategy.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams and explain technical concepts to non-technical stakeholders.

🏖️ Benefits

• Comprehensive health and wellness: 100% employer-paid medical and dental for you, 50% for dependents, vision reimbursements, telehealth access, and a free Calm subscription.
• Growth and development: LinkedIn Learning, professional development programs, and clear career progression in a fast-growing, AI-first organization.
• Generous paid time off and a four-week paid sabbatical with bonus after five years to recharge and maintain work-life balance.
• Total rewards package: pension scheme with up to 1.5% company match, MultiSport Plus card, home office stipend, and a collaborative culture that values innovation and mutual support.

Skills & Technologies

Python

TensorFlow

PyTorch

Scikit-learn

Data Science

Senior

Hybrid

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ActiveCampaign, LLC

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About ActiveCampaign, LLC

ActiveCampaign provides cloud-based customer experience automation software that unifies email marketing, marketing automation, sales automation, and CRM for small to mid-size businesses. Its platform enables personalized campaigns across email, web, SMS, and social channels, leveraging machine learning to segment audiences, trigger workflows, and score leads. Founded in 2003, the company serves over 180,000 customers in 170 countries, integrating with more than 870 third-party applications to consolidate customer data and automate engagement throughout the lifecycle.

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