Senior Staff Engineer, Data Science

Reposted 18 Days Ago
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Hiring Remotely in IN
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.
Summary Generated by Built In
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 (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: 7+ years
  • Must have experience in Machine Learning Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment.
  • Must have hands on generative AI fundamental, RAG, text to SQL.
  • Should have experience in Python or R for Data Science.
  • Should have experience in Classification-regression, Forecasting, Anomaly detection, Market mix model, Predictive analysis, Unsupervised Models, Recommendation Systems, Natural Language processing & Optimization.
  • Should have experience in Data science on AWS/Azure/GCP.
  • Must have exposure in model deployment using docker/Kubernetes.
  • Strong troubleshooting skills in different disparate technologies and environments.
  • Should be enthusiastic about different areas of work and exploring new technologies.
  • Should have clarity of thought and strong communication skills to effectively pitch solutions.
  • Must have ability to explore and grasp new technologies.
  • Must be capable of mentoring team members in projects and helping them keep up with new technologies.
  • Should be empowering the team members to be solution providers and enable a flat environment where everyone’s point of view is considered, and feedback is encouraged.

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 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.
  • Should be open to travel onsite once a month.

Qualifications

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

Skills Required

  • Experience in Machine Learning Fundamentals
  • Experience in Data Analysis & Visualization
  • Experience in Statistics & Probability
  • Experience in SQL
  • Experience in Model Packaging & Deployment
  • Hands on generative AI fundamentals
  • Experience in Python or R for Data Science
  • Experience in Classification-regression techniques
  • Experience in Forecasting and Anomaly detection
  • Experience in Market mix model and Predictive analysis
  • Experience in Unsupervised Models and Recommendation Systems
  • Experience in Natural Language processing & Optimization
  • Experience in Data science on AWS/Azure/GCP
  • Exposure in model deployment using docker/Kubernetes
  • Strong troubleshooting skills in different disparate technologies
  • Ability to mentor team members and help in new technologies
  • Bachelor's or master's degree in computer science, IT, or related field

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

Nagarro Insights

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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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