Senior Data Scientist

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 (18 000+ 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! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are seeking a talented and adaptable Senior Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to drive data-driven decision-making across our organization. You will work in a dynamic, multi-cloud environment and collaborate with cross-functional teams to deliver impactful solutions.

Key Responsibilities

Design, develop, and deploy scalable machine learning models and data science solutions to solve complex business problems
Extract, transform, and analyze large datasets to uncover actionable insights
Build and maintain data pipelines and ETL processes to support analytics initiatives
Collaborate with business stakeholders to understand requirements and translate them into technical solutions
Develop and optimize queries and data models across multiple platforms
Create compelling data visualizations and communicate findings to both technical and non-technical audiences
Mentor junior team members and contribute to best practices within the data science team
Stay current with emerging technologies and industry trends to improve our capabilities continuously

Qualifications

Required technical skills

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
5+ years of experience in data science, analytics, or a related role
Proven track record of delivering end-to-end data science projects from concept to production
Strong proficiency in Python for data analysis, machine learning, and automation
Hands-on experience with Spark SQL for large-scale data processing
Solid knowledge of PL/SQL for database development and optimization
Experience working in AWS and GCP environments
Familiarity with Databricks for collaborative data engineering and data science workflows
Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, etc.)
Knowledge of statistical analysis and modeling techniques
Proficiency in data visualization tools (Tableau, Power BI, or similar)
Understanding of CI/CD practices and version control (Git)

Key non-technical competencies

Adaptability: Demonstrated ability to quickly learn and adapt to new technologies, tools, and environments
Context Switching: Proven capability to effectively manage multiple projects and priorities simultaneously while maintaining quality and focus
Problem-Solving: Strong analytical and critical thinking skills with a solutions-oriented mindset
Communication: Excellent verbal and written communication skills; ability to explain complex technical concepts to diverse audiences
Collaboration: Team player with experience working in cross-functional and agile environments
Self-Motivation: Ability to work independently and drive projects forward with minimal supervision

Additional Information

Nice To Have Additional Skills

Experience in the food manufacturing or CPG industry
Knowledge of supply chain analytics or demand forecasting
Experience with MLOps and model deployment at scale
Familiarity with data governance and data quality frameworks

What We Offer

Opportunity to work with cutting-edge technologies in a multi-cloud environment
Collaborative and innovative team culture
Exposure to diverse projects across the organization

Senior Data Scientist

Key Skills

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