Sr. Data Scientist
Worldwide | May 8, 2025
Company: TECLA
Salary: $48,000 - $66,000
Type: Remote
Employment: Full-time
Description:
TECLA builds AI, cloud, and DevOps solutions for fintech, healthtech, and e-commerce companies in the U.S. Our agile teams work closely with our partners to develop cutting-edge products.
TECLA is a fully remote software development company with a diverse and highly skilled team of 100+ experts across Latin America. We specialize in AI, cloud, automation, and DevOps, building innovative solutions for high-growth startups and established mid-market technology companies in the U.S.
Our work culture is agile, collaborative, and fast-paced—we take our work seriously while keeping the environment fun and engaging. As a remote-first company, we emphasize strong teamwork and close collaboration, working seamlessly with our U.S. partners as one integrated unit. Whether optimizing cloud environments, developing AI-driven applications, or enhancing DevOps automation, TECLA is at the forefront of technical innovation, solving complex challenges with cutting-edge technology.
- Design and implement the ML, AI and data science solutions that power customer-facing features.
- Own the full ML lifecycle, from data expiration and modelling to deployment and monitoring.
- Translate customer problems into scalable, data-driven solutions.
- Contribute to our overall data and ML infrastructure, including tooling and deployment pipelines.
- Collaborate cross-functionally to ensure insights are delivered effectively and reliably.
- Help define our data strategy.
TECLA is a fully remote software development company with a diverse and highly skilled team of 100+ experts across Latin America. We specialize in AI, cloud, automation, and DevOps, building innovative solutions for high-growth startups and established mid-market technology companies in the U.S.
Our work culture is agile, collaborative, and fast-paced—we take our work seriously while keeping the environment fun and engaging. As a remote-first company, we emphasize strong teamwork and close collaboration, working seamlessly with our U.S. partners as one integrated unit. Whether optimizing cloud environments, developing AI-driven applications, or enhancing DevOps automation, TECLA is at the forefront of technical innovation, solving complex challenges with cutting-edge technology.
Job Details:
We are growing to the next level of maturity, having found early success and market validation. We are seeking a stellar Full-Stack Data Scientist to lead the development of data-driven features and insights that will shape our core product and elevate customer decision-making. The selected candidate will work directly with senior leadership and will own the machine learning and data roadmap, from problem definition to production deployment. If you have world-class data science skills, thrive in ambiguity, move fast, and are excited about building technology that makes a difference, this role is for you.
Benefits:
- A fully remote position with a structured schedule that supports work-life balance.
- The opportunity to make a huge impact by contributing to cutting-edge technology and product innovation.
- Two weeks of paid vacation per year.
- 10 paid days for local holidays.
*Please note we are only looking for full-time dedicated team members who are eager to fully integrate within our team.
What You Bring:
- BS or MS in Data Science, Machine Learning, Computer Science, or a related field.
- 5+ years of proven track record delivering ML/AI-driven products in commercial environments.
- Expertise in both supervised and unsupervised learning techniques, including model selection, tuning, and evaluation.
- Strong skills across machine learning, statistical modeling, and data engineering.
- Experience working with LLMs for summarization, generation, and agentic workflows.
- Experience shipping models to production, including deployment, monitoring, and versioning.
- Proven ability to work independently in a fast-paced, ambiguous, early-stage environment.
- Strong communication and interpersonal skills.
Bonus Points For:
- Familiarity with MLOps.
- Comfort working across backend infrastructure (e.g., Django, APIs, PostgreSQL).
- Prior experience in Fintech.
Apply here:
Web: Apply here
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