Senior Data Scientist

Job not on LinkedIn

🕒 July 22

🌐 Mexico, Argentina – Remote

🇲🇽 Mexico – Remote 🇦🇷 Argentina – Remote

💵 $70k - $87k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TrueML

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

TrueML is a leading company in the fintech sector, known for its innovative solutions that prioritize customer experience in the financial services industry. The company, along with its family of companies like TrueAccord, focuses on developing intelligent, digital-first communication platforms and products that revolutionize the consumer experience in financial health management. TrueML leverages the expertise of a dynamic team of data scientists, financial services experts, and customer experience specialists to create technology that addresses roadblocks to consumers' financial well-being, ensuring inclusivity and accessibility in financial systems. Founded in 2013 by Ohad Samet, TrueML continues to disrupt traditional financial services by making them more consumer-friendly and effective.

📋 Description

• Drive the Roadmap: Contribute innovative ideas to the technical and product roadmaps, estimating effort for discovery and high-velocity execution. • Collaborate & Translate: Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations. • Predict & Prevent: Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions. • Own the Lifecycle: Take full end-to-end responsibility for complex initiatives, from initial scoping with stakeholders to production deployment and maintenance. • Lead by Example: Improve departmental code quality through thoughtful, detailed code reviews and by establishing team-level best practices for AI-assisted development. • Innovate: Stay ahead of industry trends, introducing new techniques and keeping a rigorous record of tech debt with clear paths to resolution.

🎯 Requirements

• 5+ years of relevant experience and a strong foundation in statistics, machine learning, or a similar quantitative field. • Proven experience leveraging AWS (S3, Lambda) and SageMaker to build, train, and deploy machine learning models at scale. • Mastery of Python and deep experience with ML techniques like regression, classification, and optimization. • The ability to make well-reasoned design trade-offs and provide high-level advice across multiple components of a domain. • Experience using AI tools to rapidly prototype features and the ability to define validation standards for AI-generated code. • A solid understanding of product experiment design, analytics, and statistically rigorous analysis. • Familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch) and libraries like Pandas/Numpy. • Experience building model development pipelines and productionizing models at scale. • The Communicator: You can facilitate high-stakes meetings with both technical and non-technical stakeholders, leaving everyone with a clear sense of the "so what." • The Finisher: You have the grit to see complex epics through to completion, valuing even the "undesirable" work if it helps the team move faster.

🏖️ Benefits

• Unlimited PTO • Medical benefit contributions in congruence with local laws and type of employment agreement