Associate Staff Engineer (Data Science)
Remote, India
Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.Company Description
👋🏼We're Nagarro
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.
Job Description
LOCATIONS: Gurgaon/ Noida/ Pune/ Jaipur/ Bangalore/ Hyderabad
REQUIREMENTS:
- Experience: 5+yrs
- Must have: Data Science - General Experience, Data visualization and strategy, Machine Learning - General Experience, Python for Data Science (Strong)
- Professional experience in data science, with a proven track record of delivering impactful solutions in predictive modeling and optimization with proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems with expertise in machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch), also familiarity with mathematical optimization techniques (e.g., linear programming, integer programming, genetic algorithms, ant colony optimisation, Reinforcement learning).
- Knowledge of Gen AI, interfacing of ML models with LLMs; Experience with RAG and experience with frameworks such as langchain, llamaindex and evaluation methods for RAG and Prompt engineering with excellent communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders and demonstrated ability to work independently as well as collaboratively in a fast-paced, dynamic environment.
- Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
- Fundamental knowledge of design patterns
- Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
- Passionate about building great solutions.
- Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
- Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications
Bachelor's or Master's degree in computer science, Information Technology, or a related field.
Additional Information
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Data visualization Engineering Generative AI LangChain LLMs Machine Learning ML models NumPy Pandas Predictive modeling Privacy Prompt engineering Python PyTorch R RAG Reinforcement Learning Scikit-learn Statistics TensorFlow Testing
Perks/benefits: Career development Team events
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