Data Scientist – Mid-Level (Full-time)

About the role

We are looking for a Data Scientist to design and develop data‑driven solutions that address complex business challenges and support informed decision‑making. The role combines statistical analysis, machine learning, programming and business understanding to transform data into meaningful insights and scalable analytical solutions.

Key responsibilities

• Analyze complex datasets to identify patterns, trends and actionable insights.
• Design, develop and evaluate statistical and machine‑learning models.
• Perform data exploration, cleaning, wrangling, normalization and feature engineering.
• Develop predictive and analytical solutions that meet business requirements.
• Work with Python and SQL/PostgreSQL to manipulate, analyze and model data.
• Create reports, visualizations and dashboards to communicate findings.
• Collaborate with business stakeholders, data engineers and technical teams to translate challenges into data‑science solutions.
• Present findings and recommendations clearly to both technical and non‑technical audiences.
• Contribute to automation and improvement of analytics processes.
• Ensure quality, reliability and proper documentation of analytical work.

Required profile

• Hands‑on experience in data science, advanced analytics or statistical modeling.
• Strong programming skills in Python.
• Strong knowledge of SQL/PostgreSQL and experience with structured datasets.
• Good understanding of statistics, probability and machine‑learning techniques.
• Experience with data analysis, wrangling, modeling and visualization.
• Experience developing and evaluating predictive or machine‑learning models.
• Familiarity with common Python data‑science and machine‑learning libraries.
• Experience with visualization tools such as Power BI, Tableau or Qlik.
• Strong analytical and problem‑solving abilities.
• Ability to communicate complex technical concepts clearly and translate findings into business recommendations.
• Good English communication skills.

Required skills

• Python
• SQL / PostgreSQL
• Power BI
• Tableau
• Qlik
• Git
• Cloud‑based data platforms
• Generative AI, LLMs, NLP