Senior Staff Engineer, Data Science

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

10+ years of experience in data science, with expertise in predictive modeling and optimization., Proficiency in Python and/or R, with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch., Strong knowledge of cloud platforms such as GCP and Azure, including deploying data solutions., Bachelor's or master's degree in computer science, Information Technology, or related fields..

Key responsibilities:

  • Developing and reviewing high-quality code for data science solutions.
  • Understanding client business needs and translating them into technical designs.
  • Collaborating with cross-functional teams to implement scalable and secure data solutions.
  • Conducting proof-of-concept projects to validate design and technology choices.

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Nagarro XLarge https://www.nagarro.com
10001 Employees
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Job description

Company Description

👋🏼Were 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 a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and nonhierarchical. Were looking for great new colleagues. Thats where you come in!

Job Description

REQUIREMENTS:

  • Total experience 10+ years.
  • Hands on working experience in data science with a focus on predictive modeling and optimization.
  • Strong working experience with Data Science on GCP, Generative AI fundamentals.
  • Strong experience with Python (andor R) and libraries such as Pandas, NumPy, Scikitlearn, TensorFlow, PyTorch.
  • Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure, GCP).
  • Proficient in Java, Scala, C++.
  • Experience in deploying ML models in production using MLflow, Kubeflow, Docker, Kubernetes.
  • Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques.
  • Familiarity with Generative AI fundamentals and handson experience with RAG, Lang Chain, Llama Index, and prompt engineering.
  • Strong understanding of MLOps principles and tools for CICD, monitoring, and model lifecycle management.
  • Excellent communication skills and the ability to collaborate effectively with crossfunctional teams.
    • 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 highlevel 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 nonfunctional 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 codereview, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
      • Carrying out POCs to make sure that suggested designtechnologies meet the requirements.
        • Qualifications

          Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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