Remote Senior Data Scientist, Production ML & AI

Traackr, Inc.; Mexico; Hybrid; PHP 4,626,773 - 5,243,676; Full time

Benefits offered by this job

Remote work options

Home office stipend

Coworking subscription

Health insurance

Dental & life insurance

Generous vacation policy

Parental leave

Career development

Job summary

Traackr, Inc. is a remote‑first global SaaS company providing a data‑driven influencer marketing platform. This role focuses on leading ML/AI features, experimentation, and end‑to‑end model lifecycle in production.

You will partner with product and engineering to define success metrics and deliver high‑impact capabilities. The position emphasizes rigorous evaluation, collaboration across teams, and mentorship for engineers to ship with quality and cost efficiency.

Qualifications

• 3+ years delivering data science work that shipped to production 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 (testing, reviews, documentation).
• Demonstrated mentorship/enablement—helping other engineers and teams adopt best practices and ship faster with higher quality.

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 such as RAG or developing the agent harnesses for our core agentic journeys), optimizing for value‑added, latency, and cost.
• Establish best‑in‑class evaluation practices for both ML and LLM features: golden datasets, offline/online evaluation plans, regression suites, and monitoring that catches quality drift early.
• Enable engineers to build safely and effectively with AI by coaching on prompt patterns, tool/function calling, structured outputs, guardrails, and debugging/evaluation workflows.

Skills

Data science in production

Cross-functional communication

Python & SQL

Job description

Traackr, Inc. is a remote‑first global SaaS company providing a data‑driven influencer marketing platform. This role focuses on leading ML/AI features, experimentation, and end‑to‑end model lifecycle in production.

You will partner with product and engineering to define success metrics and deliver high‑impact capabilities. The position emphasizes rigorous evaluation, collaboration across teams, and mentorship for engineers to ship with quality and cost efficiency.