Staff Engineer, Data Science

Posted 11 Days Ago
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Bengaluru, Karnataka
In-Office
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
The Staff Engineer, Data Science is responsible for developing machine learning models, statistical analysis, and ensuring quality coding while leading project designs and integrating technology solutions.
Summary Generated by Built In
Company Description

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 (17500+ experts across 39 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

REQUIREMENTS:

  • Total Experience 6+years.
  • Should have strong proficiency in Python/R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Must have expertise in statistical modeling, forecasting, and optimization techniques.
  • Should have hands-on experience with data visualization tools (Power BI, Tableau).
  • Must have knowledge of cloud platforms (AWS, GCP, Azure) and ML pipelines (Airflow).
  • Should have excellent communication skills to present insights to business leaders.
  • Should have experience in retail, inventory management, or supply chain analytics.
  • Should be familiar with big data technologies (Spark, Hadoop).

RESPONSIBILITIES:

  • Writing and reviewing great quality code
  • 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 clients’ 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.

Top Skills

Airflow
AWS
Azure
GCP
Hadoop
Power BI
Python
PyTorch
R
Scikit-Learn
Spark
SQL
Tableau
TensorFlow
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The Company
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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