Data Scientist

📋 Description

• Apply statistical methods to derive insights and build predictive models.
• Explain complex models (RandomForest, XGBoost, Prophet, SARIMA) to stakeholders.
• Visualize data with Power BI, ggplot, and matplotlib.
• Write efficient, reusable code for data manipulation and analysis.
• Design scalable dashboards and analytical tools for cross-functional use.
• Prototype analytics solutions and develop ML models for large datasets.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related technical field
• 3+ years of data science and analytics experience with time series models
• Familiarity with Jira, DataBricks or AWS; proficient in Python
• Experience with PySpark, SQL, and data cleaning packages (pandas, numpy)
• Proficiency with ML libraries (statsmodels, prophet, mlflow, scikit-learn, pyspark.ml)
• Knowledge of GLM/regression, random forests, boosting, and text mining
• Competence in SQL and relational DBs; able to use Power BI for visualization
• Strong communication and collaboration skills

🎁 Benefits

• Retirement plan
• Healthcare coverage
• Broad range of other benefits