Data Scientist

4 weeks ago

Pune, India Awign Expert Full time
Job Description
About Awign Expert:
Awign Expert is an Enterprise focused platform that helps businesses Hire, Assess and Manage high skilled resources for Gig Based Projects. We provide our Experts a gateway to work for and build a freelance/consulting career with large scale Enterprises. We are a newly launched business division of Awign, which is one of the pioneers and currently the largest player in the Gig Economy in India. Here at Awign we are changing how the world works with a vision to uplift millions of Careers.

About the Role:
Duration: 6 months
Timings: Full Time (As per company timings)
Notice Period: (Immediate Joiner - Required)
Location: Pune

We are seeking a highly skilled Data Scientist specialized in Demand forecasting.
The candidate should have extensive experience in handling large-scale datasets, building robust forecasting models for long-term predictions (1, 3, and 5 years), and proficiency in Python programming.
The role entails a blend of exploratory data analysis (EDA), Feature engineering, model development, testing, and deployment in a fast-paced environment.

Job Profile: Data Scientist (Time Series Forecasting)

Responsibilities:
1. Data Preparation and Exploration:

2. Model Development:
- Design and implement advanced time series forecasting models tailored to specific business needs.
- Utilize statistical methods, machine learning techniques, and deep learning architectures for model development.
- Optimize model performance through feature engineering, hyper parameter tuning, and model selection.

3. Validation and Testing:
- Develop rigorous testing frameworks to evaluate model accuracy, robustness, and reliability.
- Perform backtesting and cross-validation to assess the generalization capability of the models.

4. Long-Term Forecasting:
- Develop forecasting models capable of predicting future trends over extended long periods
- Incorporate external factors, seasonal patterns, and macroeconomic indicators into the forecasting models.

5. Model Deployment and Monitoring:
- Deploy models into production environments, ensuring scalability and efficiency.
- Implement monitoring mechanisms to track model performance, drift detection, and recalibration as necessary.

6. Documentation and Communication:
- Document methodologies, assumptions, and findings for reproducibility and knowledge sharing.

Qualifications:
- Proven experience (3+ years) in developing time series forecasting models, preferably in a commercial or industrial setting.
- Proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy).
- Strong understanding of statistical methods ( ARIMA, SARIMA, LSTM, De-composition etc), machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with distributed computing frameworks (e.g., Spark) and cloud platforms (e.g., AZURE, Block Storage etc) is desirable.
- Excellent problem-solving skills, analytical thinking, and attention to detail.
- Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Demonstrated ability to work collaboratively in cross-functional teams and adapt to changing priorities in a fast-paced environment.

Requirements
Time Series Forecasting, Python programming and data manipulation libraries (e.g., Pandas, NumPy), statistical methods ( ARIMA, SARIMA, LSTM, De-composition etc), machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch).

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