
Unlock Business Growth as a Senior Data Analyst
2 days ago
This role focuses on utilizing data science methods and tools to drive business growth through effective forecasting.
- Data Analysis and Modelling: Develop and implement advanced data analysis and predictive models using techniques such as ARIMA, THETA, Exponential Smoothing, GBM, LightGBM, XGBoost, Linear Regression, DeepAR, NBEATS, LSTM, RNN, and Hierarchical Forecasting.
- Collaboration and Business Opportunities: Work closely with cross-functional teams to identify business opportunities and develop data-driven solutions.
- Simulation Development: Design and develop simulations using Anylogic and other relevant tools.
- Industry Knowledge and Trends: Stay up-to-date with industry trends and advancements in data science and related technologies.
- Communication Skills: Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Requirements:
- A bachelor's or master's degree in Statistics, Economics, Data Sciences, Engineering, or quantitative related field.
- A minimum of 5-9 years of working experience as a Data Scientist in industry.
- Strong expertise in data science tools and techniques, including simulation model building, machine learning, point forecasting, probabilistic forecasting, statistical forecasting, ML-based forecasting, DL-based forecasting, and cross-validation.
Preferred Skills:
- Agent-based Simulation Model using Anylogic.
- Any type of simulation model experience.
- MLOps skills.
- Exposure to LLM or GPT skills.
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