Data Scientist

Tecknoworks is a global technology consulting company. At our core, we embody values that define who we are and how we operate. We are curious, continuously seeking to expand our understanding and question conventional wisdom. Fearlessness drives us, propelling us to take daring steps to achieve significant outcomes. Our aspiration to be inspiring motivates us to consistently reach for our personal and collective best, setting an example for ourselves and those we interact with. Collaboration is our strength, capitalizing on the diverse brilliance within our team. Our commitment knows no bounds; we consistently go the extra mile to ensure enduring positive effects for our clients.

We are looking for a Data Scientist with solid experience in analytics and machine learning, particularly within AWS and Amazon SageMaker. You will work on end-to-end ML projects involving structured and unstructured data, developing scalable models and actionable insights for business stakeholders. Depending on your seniority, you will either contribute as a strong individual contributor (Mid-Level) or drive architectural decisions, stakeholder alignment and mentoring (Senior).

Tecknoworks Context - What You Can Expect • You’ll work in a cross-functional squad with Data Scientists, ML Engineers, Data Engineers, and Project Lead. • Capacity to understand stakeholders, autonomy in execution, and collaborative problem-solving. • Some project industries: Energetic, Life Sciences, FinTech and more. • Tech ecosystem: AWS and/or Azure cloud, plus Python and SQL. • Delivery: outcome and quality driven. • Access to senior mentorship and a structured growth path, supporting the development and communication skills. Also, we promote a growth mindset, empowering you to learn continuously and take ownership in solving complex, ambiguous problems. •  A consultant’s mindset and proactive attitude are essential; they allow you to foresee client requirements, spot opportunities, and provide concise, influential, data-based recommendations. • Influence: Aligns multiple stakeholders and supports decision-making.