Required Skills:

<ul>
<li style="margin-left:0px;">Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong understanding of model development lifecycle: from data ingestion to deployment.</li>
</ul>

<ul>
<li style="margin-left:0px;">Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau).</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment.</li>
</ul>

Good to have:

<ul>
<li style="margin-left:0px;">Experience or interest in Computer Vision: object detection, OCR, or visual product search.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR.</li>
</ul>

<ul>
<li style="margin-left:0px;">Exposure to multi-modal ML systems (combining text, image, and tabular data).</li>
</ul>

<ul>
<li style="margin-left:0px;">Knowledge of API development (FastAPI, Flask) to expose ML models for product use.</li>
</ul>

<ul>
<li style="margin-left:0px;">Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring).</li>
</ul>

<ul>
<li style="margin-left:0px;">Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks.</li>
</ul>

Data Engineering:

<ul>
<li style="margin-left:0px;">Experience in building and managing data pipelines using Azure Data Factory.</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with Azure Synapse Analytics for data warehousing and analytics.</li>
</ul>

<ul>
<li style="margin-left:0px;">Working knowledge of Azure Data Lake, Databricks on Azure, or Azure SQL for handling large-scale data.</li>
</ul>

<ul>
<li style="margin-left:0px;">Good understanding of ETL/ELT processes, data transformation, and integration workflows in Azure ecosystem.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with scheduling, monitoring, and optimizing pipelines for ML data readiness.</li>
</ul>

Key Responsibilities:
 Natural Language Processing:

<ul>
<li style="margin-left:0px;">Apply NLP techniques to extract insights from text data such as product descriptions, reviews, internal documents, and reports.</li>
</ul>

<ul>
<li style="margin-left:0px;">Fine-tune transformer-based models (e.g., BERT, RoBERTa, LLaMA) for classification, summarization, and named entity recognition.</li>
</ul>

<ul>
<li style="margin-left:0px;">Work with domain experts to create and maintain retail-specific taxonomies and knowledge structures.</li>
</ul>

<ul>
<li style="margin-left:0px;">Ensure model outcomes are explainable, ethical, and aligned with business needs.</li>
</ul>

Time Series Forecasting:

<ul>
<li style="margin-left:0px;">Analyze historical demand, inventory, and sales data to uncover trends and seasonality.</li>
</ul>

<ul>
<li style="margin-left:0px;">Utilize pre-trained models (e.g., ARIMA, Prophet, DeepAR) to generate accurate demand forecasts.</li>
</ul>

<ul>
<li style="margin-left:0px;">Fine-tune and adapt existing models using domain-specific data from the apparel/footwear industry.</li>
</ul>

<ul>
<li style="margin-left:0px;">Translate forecasts into actionable insights for supply chain, merchandising, and planning teams.</li>
</ul>

Good to have - Computer Vision:

<ul>
<li style="margin-left:0px;">Assist or contribute to CV projects involving product imagery, shelf monitoring, visual search, or quality control.</li>
</ul>

<ul>
<li style="margin-left:0px;">Apply basic CV techniques like image classification, object detection (e.g., using YOLO, OpenCV, or CNNs).</li>
</ul>

<ul>
<li style="margin-left:0px;">Support integration of image-based data into larger multi-modal ML systems.</li>
</ul>

Collaboration &amp; Integration:

<ul>
<li style="margin-left:0px;">Work closely with cross-functional teams (e.g., Data Engineering, DevOps, Product, and Business Stakeholders).</li>
</ul>

<ul>
<li style="margin-left:0px;">Develop scalable, reusable ML components that can be deployed in production environments.</li>
</ul>

<ul>
<li style="margin-left:0px;">Participate in designing evaluation frameworks and A/B tests for forecasting and NLP model effectiveness. </li>
</ul>
Qualifications 
<ul>
<li style="margin-left:0px;">Master's degree in Computer Science, Data Science, Statistics, or a related field</li>
</ul>

<ul>
<li style="margin-left:0px;">Proven experience in data science, machine learning, or a similar role</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong proficiency in Python and SQL for data manipulation and analysis</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with cloud technologies, preferably Azure Databricks and MLflow</li>
</ul>

<ul>
<li style="margin-left:0px;">In-depth knowledge of machine learning algorithms, including regression, classification, clustering, and deep learning</li>
</ul>

<ul>
<li style="margin-left:0px;">Expertise in feature engineering, feature selection, and model evaluation techniques</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong skills in exploratory data analysis (EDA) and data visualization</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience building end-to-end AI systems and pipelines</li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with big data technologies such as Hadoop and Spark</li>
</ul>

<ul>
<li style="margin-left:0px;">Solid understanding of statistical analysis and probability theory</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with version control systems, preferably Git</li>
</ul>

<ul>
<li style="margin-left:0px;">Excellent problem-solving skills and ability to translate complex business problems into technical solutions</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong communication skills to effectively present findings to both technical and non-technical audiences</li>
</ul>

<ul>
<li style="margin-left:0px;">Ability to work independently and collaboratively in a fast-paced, dynamic environment</li>
</ul>

<ul>
<li style="margin-left:0px;">Knowledge of distributed systems is a plus</li>
</ul>

Data Science in Chennai (UID-10757)

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Skills Required for Data Science

Job Description for Data Science

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