Data Scientist

• Contribute to the development of AI-driven and advanced analytics solutions, such as AI agents and hybrid models, that support decision-making and optimize internal processes.
• Support efforts to automate workflows and strengthen the company's transition to becoming more AI & data-driven.
• Build and train machine learning models for business use cases (e.g., segmentation, prediction, scoring systems) with a focus on scalability and impact.
• Collaborate with product, sales, operations, and marketing teams to understand requirements and deliver actionable insights.
• Develop and maintain efficient data pipelines and analytical tools that empower internal teams through self-service insights.
• Collaborate in the design and maintenance of dashboards using Tableau to support decision-making across departments.
• Contribute to the development and evolution of the company's data warehouse, ensuring data quality, consistency, and accessibility.
• Stay up to date with state-of-the-art AI methodologies and frameworks and apply them where relevant.
• Present findings and results clearly to both technical and non-technical stakeholders.
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• 3-5 years of experience in data science, machine learning, or applied AI.
• Strong proficiency in Python for data analysis, modeling, and automation.
• Solid knowledge of SQL and relational databases (e.g., PostgreSQL, MongoDB).
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Ability to analyze, structure, and communicate data effectively.
• Strong problem-solving skills, comfortable with ambiguity and evolving requirements.
• Experience with version control tools (e.g., Git) and collaborative development workflows.
• Desired: familiarity with BI tools.
• Desired: experience collaborating in the design of data warehouses and analytical architectures.
• A self-starter attitude with the ability to thrive in a dynamic, fast-changing environment.
• Passion for applying data and AI to improve both user experiences and business performance.
• Collaborative mindset, openness to feedback, and ability to work effectively across teams.

• Competitive Compensation: Based on experience and performance
• Flexibility: We believe that work/life balance is important, so we offer flexible working conditions
• Energetic team environment

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