About Us:
At Koocafe, we're dedicated to curating the ultimate café experience for everyone. Our mission is to connect coffee enthusiasts with the best cafes while also empowering these cafes with the technical infrastructure to effortlessly provide top-quality online services to their customers. Koocafe currently serves users and cafes in multiple countries worldwide and is actively expanding its business in Iran. If you're passionate about joining us on this journey and becoming part of our team, we eagerly await your CV.
Job Description:
We are seeking a talented and insightful Data Scientist to join our dynamic team. As a Data Scientist at Koocafe, you will play a key role in leveraging data to understand user behavior, optimize our platform, enhance the café experience, and drive strategic business decisions. You will collaborate with cross-functional teams including product, engineering, and marketing to uncover insights and build data-driven products and features.
Responsibilities:
- Identify, collect, clean, and transform data from various sources related to user activity, cafe performance, and market trends.
- Analyze complex datasets to identify actionable insights, patterns, and opportunities for growth and platform improvement.
- Design, develop, test, and deploy machine learning models to enhance user experience (e.g., personalized recommendations, search ranking) and optimize business processes (e.g., demand forecasting, churn prediction).
- Develop and maintain metrics, dashboards, and reports to monitor key performance indicators (KPIs) and effectively communicate findings across the organization.
- Collaborate with product managers and engineers to define data requirements, implement data tracking, and integrate data-driven solutions into our platform.
- Design, execute, and analyze A/B tests and other experiments to validate hypotheses and measure the impact of new features or strategies.
- Stay updated on the latest advancements in data science, machine learning, statistical modeling, and relevant technologies.
- Present complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
Requirements:
- High level of English, both written and verbal.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Proven experience as a Data Scientist with at least 4 years of hands-on experience applying data science techniques to solve real-world business problems.
- Strong proficiency in programming languages commonly used in data science, particularly Python (preferred) or R.
- Solid understanding of statistical concepts, experimental design, and machine learning algorithms (e.g., regression, classification, clustering, NLP).
- Experience with core data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Proficiency in SQL for data extraction and manipulation from relational databases.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to communicate insights effectively.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data/ML services is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to translate complex data insights into actionable recommendations.
- Ability to work independently and manage projects in a fast-paced, dynamic environment.
Benefits:
- Competitive salary commensurate with experience.
- Remote work opportunity with flexible hours.
- Comprehensive benefits package.
- Professional development and training opportunities.
- Dynamic and inclusive work culture with opportunities for growth and advancement.
Please send your CV in English.