Data Science

**Company Description** About Hitachi Solutions India Pvt Ltd**:
Hitachi Solutions, Ltd., headquartered in Tokyo, Japan, is a core member of Information & Telecommunication Systems Company of Hitachi Group and a recognized leader in delivering proven business and IT strategies and solutions to companies across many industries. The company provides value-driven services throughout the IT life cycle from systems planning to systems integration, operation and maintenance. Hitachi Solutions delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China and India. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities.

**Our Competitive Edge**

We work together in a dynamic and rewarding work environment. We have an experienced leadership team, excellent technology and product expertise, and strong relationships with a broad base of customers and partners.

We offer competitive compensation and benefits package, regular performance review, performance bonuses, and regular trainings.

**What is it like working here?**

We pride ourselves on being industry leaders and providing an enjoyable work environment where our people can grow personally and professionally. Hitachi is the place people can develop skills they’re excited about. The following are our commitments to employees.
- We recognize our profitability and project success comes from our team—great people doing great things. As such, we pursue profitable growth and expanded opportunities for our team.
- We offer challenging and diverse work across multiple industries and reward creativity and entrepreneurial innovation.
- We respect, encourage, and support each individual needs to continually learn and grow personally and professionally. We are committed to fostering our people.
- We listen. Every employee has something important to say that can contribute to enriching our environment.
- We compensate fairly. And while employees might come for the paycheck, they stay for the people. Our people are the reason we are exceptional. This is something we never forget.

We are seeking a talented and innovative Data Scientist to join our dynamic team in Pune, India. As a Data Scientist, you will play a crucial role in extracting valuable insights from complex datasets, developing advanced analytical models, and driving data-driven decision-making across our organization.
- ** Job Description**

**Experience: 8 - 14 years**

**Primary Skills: Data Science**

**Secondary Skills: Data Engineering/Data Analytics**

**Overview**:
**Required Skills**:

- Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting.
- Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA.
- Strong understanding of model development lifecycle: from data ingestion to deployment.
- Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau).
- Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances.
- Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment.
- ** Good to have**:

- Experience or interest in Computer Vision: object detection, OCR, or visual product search.
- Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR.
- Exposure to multi-modal ML systems (combining text, image, and tabular data).
- Knowledge of API development (FastAPI, Flask) to expose ML models for product use.
- Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring).
- ** Data Engineering**:

- Experience in building and managing data pipelines using Azure Data Factory.
- Familiarity with Azure Synapse Analytics for data warehousing and analytics.
- Working knowledge of Azure Data Lake, Databricks on Azure, or Azure SQL for handling large-scale data.
- Good understanding of ETL/ELT processes, data transformation, and integration workflows in Azure ecosystem.
- Experience with scheduling, monitoring, and optimizing pipelines for ML data readiness.
- ** Key Responsibilities**:
**Natural Language Processing**:

- Fine-tune transformer-based models (e.g., BERT, RoBERTa, LLaMA) for classification, summarization, and named entity recognition.
- Work with domain experts to create and maintain retail-specific taxonomies and knowledge structures.
- Ensure model outcomes are explainable, ethical, and aligned with business needs.
- ** Time Series Forecasting**:

- Analyze historical demand, inventory, and sales data to uncover trends and seasonality.
- Utilize pre-trained models (e.g., ARIMA, Prophet, DeepAR) to generate accurate demand forecasts.
- Fine-tune and adapt existing models using domain-specific data from the apparel/footwear industry.
- Translate forecasts into