Data Science

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:

  The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP) Time Series Forecasting and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers analysts and domain experts and help us build holistic multi-modal solutions.

  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).
• Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks.
• 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:

• Apply NLP techniques to extract insights from text data such as product descriptions reviews internal documents and reports.
• 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 actionable insights for supply chain merchandising and planning teams.

• Good to have - Computer Vision:

• Assist or contribute to CV projects involving product imagery shelf monitoring visual search or quality control.
• Apply basic CV techniques like image classification object detection (e.g. using YOLO OpenCV or CNNs).
• Support integration of image-based data into larger multi-modal ML systems.

• Collaboration & Integration:

• Work closely with cross-functional teams (e.g. Data Engineering DevOps Product and Business Stakeholders).
• Develop scalable reusable ML components that can be deployed in production environments.
• Participate in designing evaluation frameworks and A/B tests for forecasting and NLP model effectiveness.

Qualifications :

• Masters degree in Computer Science Data Science Statistics or a related field
• Proven experience in data science machine learning or a similar role
• Strong proficiency in Python and SQL for data manipulation and analysis
• Experience with cloud technologies preferably Azure Databricks and MLflow
• In-depth knowledge of machine learning algorithms including regression classification clustering and deep learning
• Expertise in feature engineering feature selection and model evaluation techniques
• Strong skills in exploratory data analysis (EDA) and data visualization
• Experience building end-to-end AI systems and pipelines
• Familiarity with big data technologies such as Hadoop and Spark
• Solid understanding of statistical analysis and probability theory
• Experience with version control systems preferably Git
• Excellent problem-solving skills and ability to translate complex business problems into technical solutions
• Strong communication skills to effectively present findings to both technical and non-technical audiences
• Ability to work independently and collaboratively in a fast-paced dynamic environment
• Knowledge of distributed systems is a plus

Additional Information :

Beware of scams

Our recruiting team may communicate with candidates via our @ domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.  

All offers will originate from our @ domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain it may not be legitimate.