Job description
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
