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About Freshworks
Freshworks is a leading provider of software-as-a-service solutions that enable businesses to deliver exceptional customer and employee experiences. Our innovative platform combines cutting-edge technology with a user-centric approach to drive growth and success.
Job Description
We are seeking a highly skilled Senior Data Scientist to join our dynamic team. As a key member of our data science team, you will be responsible for developing and deploying advanced machine learning and NLP models to drive business outcomes. Your expertise in NLP and AI will be instrumental in shaping the future of conversational AI technology.
Key Responsibilities:
- Strategic Problem Solving: Identify and define critical business problems that can be addressed through advanced machine learning and NLP techniques. Translate complex requirements into actionable data science projects.
- Advanced Model Development: Design, develop, and deploy sophisticated NLP models, including LLMs and retrieval systems, for applications such as answer generation and conversational AI. Utilize RAG methodologies to enhance model performance and accuracy.
- Algorithmic Expertise: Apply your deep understanding of machine learning algorithms, statistical methods, and mathematical principles to create innovative solutions that address real-world problems and drive user engagement.
- Collaboration and Leadership: Partner with product managers, engineers, and business stakeholders to understand requirements, define success metrics, and ensure alignment with business objectives. Lead cross-functional teams to deliver end-to-end solutions.
- System Architecture and Scalability: Oversee the integration of machine learning models into production systems. Collaborate with engineering teams to build scalable, high-performance data pipelines and ensure robust deployment of models in live environments.
- Research and Innovation: Stay at the forefront of research in NLP, AI, and related fields. Contribute to the advancement of the company's technology stack and explore new methodologies to maintain a competitive edge in the industry.
Qualifications:
- Experience: Minimum of 3 years of experience in data science, with a strong focus on NLP, machine learning, and AI technologies. Proven track record of developing and deploying NLP models and working with large-scale data systems.
- Technical Skills: Expertise in machine learning frameworks (TensorFlow, PyTorch), NLP libraries (spaCy, Hugging Face Transformers), and experience with retrieval-augmented generation (RAG) techniques. Proficiency in programming languages such as Python and familiarity with big data technologies (Hadoop, Spark) is required.
- Education: Master's or Bachelor's in Computer Science, Data Science, Statistics, or a related field.
- Problem Solving: Strong problem-solving skills.
- Communication: Excellent verbal and written communication skills. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively across teams.