Data Scientist

Role Description

As a Senior Data Scientist, you will help push Traackr’s product and business forward by turning ambiguous customer problems into measurable outcomes. You’ll partner closely with Product and Engineering to:

• Design experiments
• Develop and evaluate ML, AI, Statistics, and recommendation capabilities
• Establish reliable practices for evaluation, monitoring, and continuous iteration
• Coach others on experimentation and AI evaluation best practices

This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager.

Responsibilities

• Partner with Product and Engineering to identify high-impact opportunities, frame ambiguous problems, define success metrics, and choose pragmatic approaches (heuristics, statistics, ML, or GenAI).
• Lead rigorous experimentation across teams: hypothesis design, metric/guardrail definition, power analysis, A/B testing (or quasi-experiments), and clear readouts that drive decisions.
• Build and iterate on ML/AI capabilities that ship to production (e.g., classification, information extraction, ranking/recommendations, and GenAI components).
• Establish best-in-class evaluation practices for both ML and LLM features.
• Enable engineers to build safely and effectively with AI by coaching on prompt patterns, tool/function calling, structured outputs, guardrails, and debugging/evaluation workflows.
• Design and support agentic workflows where they add real product value.
• Support the end-to-end lifecycle of deployed models and AI systems.
• Raise org-wide leverage by creating reusable assets and running enablement workshops.
• Communicate insights and tradeoffs clearly to technical and non-technical stakeholders.
• Champion responsible, privacy-aware AI.

Qualifications

• 3+ years (or equivalent) delivering data science work that shipped to production and/or materially influenced product direction.
• Experience collaborating cross-functionally and communicating clearly with diverse stakeholders; ability to influence without authority.
• Strong Python and SQL skills, with the ability to write maintainable, production-quality code.
• Demonstrated mentorship/enablement—helping other engineers and teams adopt best practices and ship faster with higher quality.
• Strong applied statistics and experimentation skills.
• Proven ability to evaluate and improve models in real conditions.
• Hands-on experience building with LLMs in product contexts.
• Practical approach to LLM evaluation.
• Experience with modern MLOps/LLMOps practices.
• NLP and information extraction/classification on noisy social/content data.
• Experience developing and evaluating large scale Retrieval, Recommendation- and Search Systems.

Strong plus

• Experience with large scale data and analytics platforms.
• Experience with Spark or other distributed computing.
• Experience with data lake technologies such as Databricks or equivalent.
• Experience with cloud providers such as AWS or equivalent.

Benefits

• Competitive Salary
• Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
• Coworking Office Subscription for Collaborative Spaces
• Health, Dental, and Life Insurance Coverage*
• Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs
• Paid Parental Leave to Support Quality Time with Your Loved Ones
• Career Development, including Internal and External Training Opportunities