Senior Staff Engineer (Data Scientist)
Remote, India
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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 are looking for great new colleagues. That's where you come in!
Job Description
REQUIREMENTS:
- Experience: 10+ Years
- Proven experience as a Data Scientist or in a similar role.
- Hands-on experience is required in ML forecasting
- Proficiency in programming languages such as Python
- SQL knowledge querying, join, group by ,where , sub query is preferred
- Strong knowledge of machine learning packages & algorithms and statistical modelling.
- Strong knowledge of EDA, Data wrangling, ML packages, timeseries processing and feature engineering, demand forecasting
- Excellent problem-solving skills and the ability to think critically.
- Problem-solving aptitude, Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
- Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.
- Experience with big data platforms is a plus.
RESPONSIBILITIES:
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Computer Science Deep Learning EDA Engineering Feature engineering GCP Google Cloud Machine Learning Python PyTorch Security SQL Statistics TensorFlow
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