Experience exploratory data analysis and hypothesis-driven modeling initiatives. Design, train, and validate machine learning models aligned with business objectives. Develop evaluation frameworks and define performance metrics. Prototype and validate GenAI use cases using LLMs and embeddings. Apply statistical rigor to experimentation and performance assessment. Communicate insights and recommendations to technical and business stakeholders. Collaborate with ML Engineers to productionize validated solutions. 3+ years of applied data science experience in enterprise environments. Experience designing multiagent solution, different generative frameworks, applying LLMs, embeddings, and prompt engineering techniques Strong statistical and modeling background. Expertise in Python and ML libraries.. Ability to translate business needs into analytical solutions. Experience working in consulting or client-facing contexts preferred. Experience on some of the clouds (AWS, Azure or GCP). Advanced English proficiency. Analytical rigor and structured problem-solving. Strong business acumen. Ability to operate in ambiguous and multi-industry environments. Clear communication and stakeholder management. Ability to connect analytical outcomes with measurable business impact.
At Softtek, we drive the strategic development of our clients through software engineering. For more than 40 years, we have helped leading companies develop, implement, and manage technology capable of improving people’s lives. Pioneers of the Nearshore model, Softtek connects innovation to business strategy. We don’t claim to “reinvent” or “reimagine” the business — we deliver results.
For more information on what we do, who we are, and career opportunities, visit www.softtek.com / Follow us on Instagram (@softtekofficial), on X (@Softtek), and be our fan on Facebook www.facebook.com/softtek.
