Senior Data Scientist II (NLP)

We are seeking a skilled and experienced Senior Data Scientist (NLP) to join our growing team. The ideal candidate should have a strong foundation in Natural Language Processing (NLP) and PySpark, with experience working in a cloud environment (specifically Azure Databricks), and proficiency in SQL and data warehousing. He/she will be responsible for applying advanced data science techniques, build machine learning models that deliver business insights. This role requires a passion for learning and applying cutting-edge technologies in Generative AI and deep learning for NLP tasks and deliver projects that exceed client expectations.

Key Responsibilities

• Advanced AI/ML/GenAI Implementation: Build production grade machine learning models and ensure proper integration with business applications and systems.
• Data Engineering & Analysis: Design, optimize, and implement complex SQL queries; work with data warehousing concepts and help in the design of star schema or snowflake models.
• Client Engagement: Ensure high levels of client satisfaction through taking ownerships, excellent communication, impactful delivery, and strong stakeholder management.
• Exhibit consulting approach: Use consultative communication style, to be open to ask relevant questions when requirements/requests are not clear and possess an ability to evaluate the necessity and relevance of tasks and suggest improvements appropriately
• Cross-functional Collaboration: Work closely with data engineering, product, and business teams to align on objectives, achieve common goals, and show proactiveness to contribute more with knowledge and capacity.
• Version control: Follow Git best practices, including understanding and applying branching strategies
• Domain Adaptation: Apply data science methodologies across different industries and domains, with a willingness to quickly learn and adapt to new industries or sectors.
• Testing & Quality Assurance: Ensure the quality and reliability of models through rigorous testing and validation.
• Attention to Detail: Demonstrate strong attention to detail towards model validation, data processing, and analysis tasks.

Core Excellence Area (CEA)

Candidates must have a very strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying):

1. NLP + Generative AI
2. PySpark + Databricks
3. Machine Learning Modeling & Deployment
4. Python + SQL

Mandatory Skills

• Professional experience: Minimum 4+ years of total experience in data science, with at least 2+ years specifically in NLP.
• NLP Expertise: Proven experience with text classification, sentiment analysis, and topic modeling, using both traditional NLP techniques and advanced approaches, including Deep Learning and Generative AI (GenAI)
• PySpark & Databricks: At least 1+ year of experience working with Python, PySpark & Azure Databricks including libraries specific to analyse & manipulate large datasets, implement statistical models, and ensure high-quality data processing
• Machine Learning: Deep knowledge of ML models & algorithms, aptly deciding which models and techniques to use and why, and suggest additional measures to optimize/improve existing solutions
• SQL & Data Warehousing: Strong SQL skills and at least 1+ year of experience working with data warehousing concepts (star schema, snowflake) and building optimized queries.
• Cloud and Data Engineering: Familiarity with the Azure environment and Databricks for building and deploying scalable data pipelines and models.
• Version Control: Hands-on experience with Git and understanding of branching strategies for collaborative development.
• Good consulting capabilities
• SAP Experience (Nice to Have): Experience working with SAP systems (S/4 HANA, BW) is a plus.

Skills & Qualification:

• Education: Bachelors or masters degree in computer science, Data Science, Engineering, or a related field (Masters/PG in AI/ML/DS preferred).
• Technical Skills: Python, PySpark, SQL, Databricks, Azure, Generative AI, Deep Learning, NLP libraries (spaCy, NLTK, Hugging Face, etc.)
• Soft Skills: Consultative approach, Strong problem-solving skills, ability to work independently and as part of a team, excellent communication skills.

If you're passionate about NLP, data science, and the Azure ecosystem, and you're eager to work on challenging problems, we'd love to hear from you. Apply now to join our dynamic team!