Key Responsibilities:
- Analyze large and complex datasets to identify trends, patterns, and opportunities
- Build and validate statistical, predictive, or machine learning models
- Design experiments and evaluate results to support business decisions
- Collaborate with product, engineering, and business teams to define data needs
- Translate analytical findings into clear insights and recommendations
- Create documentation and visualizations to communicate results effectively
- Continuously improve data models, methodologies, and workflows
Must-Have:
- 3+ years of experience in Data Science or applied analytics roles
- Strong proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-learn, etc.)
- Solid understanding of statistics, probability, and data modeling
- Experience working with SQL and relational databases
- Ability to communicate complex insights clearly to non-technical audiences
Nice to Have:
- Experience with machine learning frameworks (TensorFlow, PyTorch, etc.)
- Exposure to cloud platforms (AWS, GCP, or Azure)
- Experience with experimentation frameworks (A/B testing)
- Familiarity with data visualization tools (Tableau, Power BI, Looker, etc.)
- Background in startup or fast-paced environments
Top Skills
What We Do
We are on a mission to give every company, no matter the size, the opportunity to innovate and help build a better future. Our Services: Dedicated Tech (full/partial) Squads: we create multi-disciplinary, remote (near-shore) Tech Squads that become part of your team. They adapt to your workflows and are trained on Agile methodologies to deliver continuous value. We believe that well-trained remote teams bring clients the opportunity to increase innovation output by accessing a greater / more diverse pool of talent, while reducing the cost of development. On-Demand Software Development: at our core, we are software developers excited about building digital products and solutions using the latest technologies and agile methodologies. We provide end-to-end capabilities to deliver on your technical requests. Product Management, Tech Architecture, Front / Back End Development, Devops & QA Venture Building: we partner with companies to co-launch new digital businesses that leverage core assets of the company (distribution channels, customer base, industry knowledge, proprietary technology, etc). We take the co-created ideas into MLP’s (Most Lovable Product) aiming to find product market fit and scale in the leanest possible way. As startup founders ourselves, we love getting things from 0 to 1. We are End-To-End Innovation Enablers, helping your company unlock it's full innovation potential.
