Solution Architect- Data Scientist
KSB SE & Co. KGaA (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 20–35 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable and performance-critical data science models and algorithms for IIoT platforms using Python and Spark.
- Transform large-scale industrial and telemetry data into actionable business insights through statistical analysis and predictive analytics.
- Own quality, scalability, and reliability of analytical solutions supporting business decision-making and long-term AI/ML strategy.
Minimum Requirements
- Bachelor’s or Master’s degree in Mathematics, Data Science, Statistics, Computer Science, or related field.
- Strong programming expertise in Python, with experience in Jupyter, pandas, NumPy, SciPy, and scikit-learn.
- Practical experience in quantitative statistical analysis of large datasets and developing scalable analytical algorithms.
- Experience with Apache Spark and Databricks preferred; understanding of data pipelines, data lakes, and cloud analytics platforms.
Ideal Candidate Profile
- Experienced in delivering data science solutions in IIoT or industrial telemetry environments with a focus on scalability and performance.
- Capable of contributing to architectural decisions and aligning technical solutions with business needs and analytics strategy.
- Demonstrates disciplined coding practices and strong cross-functional collaboration skills to deliver maintainable and reliable analytics workflows.