INDORE · FULLTIME
Data Scientist
Kyvos
Indore · onsite · Posted 12d ago
Sourced from
Undisclosed1–3 yrsfulltimeIndore
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Section · 01
About this role
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 clear 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
claudekerasChatbotdata scientistHypothesis TestingAnalyticsLarge Language Models (LLMs)Exploratory Data AnalysisEvent DrivendeploymentData EngineeringAlgorithmsDeep LearningData ModelingData PipelineData ScienceMachine Learning