Nokia Hiring: Staff Software Development Engineer 2026:-
Nokia is hiring experienced professionals for the position of Staff Software Development Engineer in Bangalore, Karnataka, India. This is a full-time, regular employment opportunity under the Applied R&D job category, offering candidates the opportunity to work on data science, machine learning, advanced analytics, and AI-driven solutions.
| Company: | Nokia |
| Job Role: | Staff Software Development Engineer |
| Job Type: | Full-Time, Regular |
| Experience: | 7+ Years |
| Salary: | As per Company Standards |
| Application Deadline: | ASAP |
Role Overview
As a Staff Software Development Engineer, you will contribute to data-driven engineering and advanced analytics initiatives by analyzing complex datasets, developing machine learning models, and delivering scalable analytical solutions.
The role involves working closely with engineering, product, and business teams to transform data into actionable insights. You will also contribute to data preprocessing, feature engineering, experimentation, data visualization, and workflow automation.
This position requires strong technical expertise, analytical thinking, problem-solving abilities, and the capacity to mentor junior team members while supporting continuous improvement.
Educational Requirements
Candidates must meet the educational requirements specified in the job description.
- Required Qualification: B.Tech or M.Tech in Computer Science, Statistics, Mathematics, Data Science, or a related field.
- Listed Degree Level: Bachelor’s degree.
Candidates should verify the exact accepted qualifications in Nokia’s official job listing.
Key Skills
1. Technical Skills
- Python Programming
- SQL
- TensorFlow
- PyTorch
- Machine Learning Model Development
- Data Preprocessing and Cleaning
- Feature Engineering
- Statistical Modeling
- Data Visualization
- ETL/ELT Pipelines
- Cloud Data Platforms
- RDBMS and NoSQL Databases
- Structured and Unstructured Data Processing
2. Data Science & Functional Skills
- Data Science and Advanced Analytics
- Machine Learning Model Validation and Deployment
- Probability Theory and Hypothesis Testing
- A/B Testing and Experimental Design
- Big Data Processing
- Data Pipeline Automation
- Cloud-Based Data Engineering
- Dashboard Development and Reporting
- Predictive Analytics
- Scalable Analytics Solutions
3. Tools & Technologies
- Python
- SQL
- TensorFlow and/or PyTorch
- Microsoft Azure, AWS, or Google Cloud Platform
- Tableau
- Power BI
- Matplotlib
- Seaborn
- Apache Spark and Hadoop (preferred)
4. Soft Skills
- Strong analytical and problem-solving abilities
- Critical thinking
- Effective written and verbal communication
- Ability to explain complex technical concepts to non-technical stakeholders
- Cross-functional collaboration
- Mentoring and knowledge sharing
- Attention to detail
- Adaptability and continuous learning
Roles & Responsibilities
Data Analysis & Insights
- Analyze large datasets to identify trends, patterns, and actionable insights.
- Apply advanced statistical techniques to support business decisions.
- Work with structured and unstructured data from multiple sources.
- Translate complex datasets into meaningful analytical outcomes.
Machine Learning & Model Development
- Develop, validate, and deploy machine learning models to support business objectives.
- Build predictive models using Python and frameworks such as TensorFlow or PyTorch.
- Perform data preprocessing, cleaning, and feature engineering.
- Evaluate model performance and improve prediction accuracy.
Data Engineering & Pipeline Automation
- Develop and automate data pipelines and workflows.
- Work with ETL/ELT processes and cloud-based data platforms.
- Handle relational and NoSQL databases.
- Support scalable data processing using suitable big data technologies.
Experimentation & Statistical Analysis
- Design and implement A/B tests and hypothesis-testing methodologies.
- Validate assumptions through structured experiments.
- Apply statistical modeling and probability concepts to analytical problems.
- Generate evidence-based insights to support product and business decisions.
Data Visualization & Stakeholder Communication
- Create dashboards and reports using tools such as Tableau, Power BI, Matplotlib, or Seaborn.
- Present findings clearly to technical and non-technical stakeholders.
- Collaborate with engineering, product, and business teams to understand requirements.
- Deliver analytics solutions aligned with organizational objectives.
Technical Leadership & Continuous Improvement
- Stay updated with developments in data science, machine learning, and artificial intelligence.
- Identify opportunities to improve analytics capabilities and operational efficiency.
- Mentor junior team members and encourage knowledge sharing.
- Contribute to continuous improvement across data-driven engineering initiatives.
About the Company
Nokia is a global leader in connectivity for the AI era. The company delivers technologies and solutions across fixed, mobile, and transport networks, supported by research and innovation from Nokia Bell Labs.
Nokia focuses on advancing connectivity to help build a more connected and secure world.
Nokia Hiring: Staff Software Development Engineer 2026 Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
