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 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 Master s 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 hitachisolutions com 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 hitachisolutions com 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