You will be a key member of our department. This role requires a skilled professional with a strong background in Data Science and Machine Learning to analyze and interpret complex data, develop cutting-edge solutions, and provide valuable insights to drive business growth. The successful candidate will have the opportunity to make a significant impact on our organization's data-driven decision-making processes.

- Analyze large datasets to uncover trends, patterns, and insights, utilizing advanced statistical techniques.
- Develop, validate, and deploy machine learning models to support business objectives and make accurate predictions.
- Collaborate with engineering, product, and business teams to understand requirements and deliver tailored analytics solutions.
- Perform data preprocessing, cleaning, and feature engineering to ensure data quality and model accuracy.
- Design and implement experimental methodologies, including A/B testing and hypothesis testing, to validate assumptions.
- Visualize data insights through dashboards and reports, effectively communicating complex information to stakeholders.
- Automate data pipelines and workflows to streamline processes and improve efficiency.
- Work with structured and unstructured data sources, leveraging big data technologies to develop scalable analytics solutions.
- Stay updated with the latest advancements in Data Science, Machine Learning,



and AI to enhance our analytics capabilities.
- Provide mentorship and guidance to junior team members, fostering a culture of knowledge sharing and continuous improvement.

- B.Tech / M.Tech in Computer Science, Statistics, Mathematics, Data Science, or a related field is required.
- 7+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles, with a proven track record of success.
- Proficiency in Python and SQL, with hands-on experience in TensorFlow and/or PyTorch for model development.
- Experience with data engineering and cloud data platforms, including ETL/ELT pipelines and working with RDBMS and NoSQL databases on Azure, AWS, or GCP.
- Solid understanding of statistical modeling, probability theory, hypothesis testing, and data preprocessing techniques.
- Experience working with large-scale structured and unstructured datasets, and the ability to handle and process big data.
- Proficiency in data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn to present insights effectively.
- Familiarity with big data technologies like Spark and Hadoop is preferred.
- Strong problem-solving skills, analytical thinking, and the ability to communicate complex ideas to both technical and non-technical audiences.
- Experience in [industry domain – telecom, finance, healthcare, or embedded systems] is an advantage.

📌 Staff Software Development Engineer (India)
🏢 NOKIA
📍 India