Associate Data Scientist
4 days ago
**Location**: Mumbai
**Job Type**: Full-time
**Experience: 0-6months**
**About the**
**We are seeking a highly motivated Associate Data Scientist**with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining **energy load forecasting models**, analyzing **customer demand patterns**, and improving **forecasting accuracy** using advanced **time series analysis** and **machine learning techniques**. Your insights will directly support **risk management, operational planning, and strategic decision-making** across the company.
If you thrive in a fast-paced, dynamic environment and enjoy solving complex **data science challenges**, we’d love to hear from you
**Key Responsibilities**:
- Develop and enhance **energy load forecasting models** using **time series forecasting**, **statistical modeling**, and **machine learning techniques**.
- Analyze historical and real-time **energy consumption data** to identify trends and improve forecasting accuracy.
- Investigate discrepancies between **forecasted and actual energy usage**, providing actionable insights.
- Automate **data pipelines** and **forecasting workflows** to streamline processes across departments.
- Monitor day-over-day **forecast variations** and communicate key insights to stakeholders.
- Work closely with internal teams and external vendors to refine **forecasting methodologies**.
- Perform **scenario analysis** to assess seasonal patterns, anomalies, and market trends.
- Continuously **optimize forecasting models**, leveraging techniques like **ARIMA, Prophet, LSTMs, and regression-based models**.
**Qualifications & Skills**:
- ** 0-6months of experience** in data science, preferably in **energy load forecasting**, demand prediction, or a related field.
- Strong expertise in **time series analysis**, **forecasting algorithms**, and **statistical modeling**.
- Proficiency in **Python**, with experience using libraries such as **pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch**.
- Experience working with **SQL** and handling large datasets.
- Hands-on experience with **forecasting models** like **ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests**.
- Familiarity with **feature engineering, anomaly detection, and seasonality analysis**.
- Strong analytical and problem-solving skills with a **data-driven mindset**.
- Excellent communication skills, with the ability to **translate technical findings into business insights**.
- Ability to work independently and collaboratively in a **fast-paced, dynamic environment**.
- Strong attention to detail, time management, and organizational skills.
**Preferred Qualifications (Nice to Have)**:
- Experience working with **energy market data, smart meter analytics, or grid forecasting**.
- Knowledge of **cloud platforms (AWS)** for **deploying forecasting models**.
- Experience with **big data technologies** such as **Spark or Hadoop**.
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