Experience:1-3 Years

Qualification:Bachelor’s degree in Computer Science, Engineering, or a related field.

Skills Required:

Python, Pandas, NumPy, Scikit-learn, NLTK, Keras, SQL

Job Profile:

Qualifications:

- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 1-3 years of proven experience in Data Science.
- Strong theoretical and practical knowledge of advanced statistical algorithms, including machine learning, deep learning, and optimization techniques, with the ability to apply them effectively to real-world business problems.

Responsibilities:

- Design and develop end-to-end machine learning pipelines, including model development, tuning, implementation, and monitoring for various analytical use cases.
- Collaborate closely with business stakeholders and product management teams to deliver impactful analytics solutions.
- Present insights and analytical results to both technical and non-technical audiences in a transparent and compelling manner.
- Continuously explore and evaluate emerging tools and technologies to enhance solution efficiency and scalability.
- Demonstrate outstanding analytical thinking and problem-solving skills.

Mandatory Skills:

Languages & Libraries:

- Python, Pandas, NumPy,



Scikit-learn, NLTK, Keras, SQL

Techniques & Concepts:

- Exploratory Data Analysis (EDA)
- Machine Learning and Neural Networks
- Transformers and Natural Language Processing (NLP)
- Model building, hyperparameter tuning, and performance evaluation based on business metrics
- Model deployment and MLOps practices
- Strong foundation in Statistics (e.g., Probability Distributions, Hypothesis Testing)
- Deep Learning techniques and architectures
- Data pipelines and Data Engineering fundamentals

Good to Have:

- Expertise in Large Language Models (LLMs) for solving NLP problems using state-of-the-art models and services (e.g., OpenAI, Claude).
- Familiarity with Retrieval-Augmented Generation (RAG) and techniques to enhance the performance and capabilities of LLM-based solutions.
- Strong logical reasoning and design skills for creating effective, user-centric conversational flows for chatbot applications.
- Passion for research and innovation, with a commitment to staying current on advancements in NLP, LLMs, and ML.
- Experience in data modeling and designing robust data architectures.

📌 Data Scientist (India)
🏢 Intellicus Technologies
📍 India