Remote Associate Staff Engineer, Data Science

Description:

• The Associate Staff Engineer, Data Science position at Nagarro requires a minimum of 5 years of experience in data science and data visualization, with a proven track record in delivering impactful solutions in predictive modeling and optimization.
• The role involves proficiency in programming languages like Python or R, along with experience in data manipulation libraries such as Pandas and NumPy.
• Candidates should have a strong understanding of statistical concepts and techniques and be able to apply them to real-world problems.
• Expertise in machine learning algorithms and frameworks like scikit-learn, TensorFlow, and PyTorch is essential.
• Familiarity with mathematical optimization techniques like linear programming, integer programming, genetic algorithms, ant colony optimization, and reinforcement learning is required.
• Knowledge of Generative AI, interfacing ML models with LLMs, and experience with RAG is preferred, along with proficiency in frameworks like LangChain, LlamaIndex, and evaluation methods for RAG and Prompt Engineering.
• Excellent communication skills are necessary to effectively convey complex technical concepts to non-technical stakeholders.
• The role requires the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Requirements:

• Bachelor's or Master's degree in computer science, Information Technology, or a related field.
• Minimum of 5 years of experience in data science and data visualization.
• Proficiency in programming languages such as Python or R.
• Strong understanding of statistical concepts and techniques.
• Expertise in machine learning algorithms and frameworks.
• Familiarity with mathematical optimization techniques.
• Knowledge of Generative AI, LLMs, and RAG.
• Excellent communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Benefits:

• Opportunity to work in a dynamic and non-hierarchical work culture at Nagarro.
• Chance to be part of a global team of 18,000+ experts across 36 countries.
• Full-time remote position based in South Asia.
• Scope to work on building products, services, and experiences that inspire, excite, and delight.
• Potential for personal and professional growth in a scaling Digital Product Engineering company.