Junior Data Scientist

• Develop and maintain time-series forecasting models to predict daily/weekly sales, customer demand, and product trends.
• Analyze historical sales data, seasonality, promotions, and external factors (e.g., weather, holidays) to improve forecast accuracy.
• Assist in inventory and supply chain optimization by predicting ingredient demand and reducing waste.
• Collaborate with cross-functional teams to implement data-driven strategies.
• Continuously monitor model performance and refine algorithms for better predictions.
• Support ad-hoc data analysis requests to identify business opportunities.

• Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related field or relevant experience.
• 1-2 years of experience in data science, analytics, or forecasting (internships/projects count!).
• Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) or other modeling tools.
• Experience with time-series forecasting (ARIMA, Prophet, LSTM, statistical etc.) and machine learning.
• Familiarity with SQL for data extraction and manipulation.
• Knowledge of data visualization tools is a plus (Looker Studio, Tableau, or Matplotlib/Seaborn).
• Strong analytical mindset with attention to detail.
• Ability to translate business problems into data solutions.

• Experience in retail, QSR, or supply chain analytics.
• Knowledge of cloud platforms (AWS, GCP) and big data tools.
• Understanding of statistical hypothesis testing and A/B testing.

• Opportunity to work on real-world forecasting challenges in a fast-paced industry.
• Collaborative environment with mentorship from data solution architects.
• Impactful role—your work will directly influence business decisions.
• Flexible work culture with growth opportunities.

Hungry Lion