Data Scientist Engineer

Role overview

Data Scientist Engineer at ALTEN India

Required qualifications

• 2-3 Years
• BE/B.Tech/MCA Employment : Full Time

Employment details

• Location: Bengaluru Why Join ALTEN India?
• Opportunity to work with leading global aerospace clients.
• Dynamic, innovation-driven environment with exposure to cutting-edge technologies.
• Continuous learning and career growth opportunities.
• Inclusive and collaborative workplace culture.
• Location: Bengaluru [India]

Application details

• Familiarity with ROS2 for robotics application development.

Additional role details

• Must-Have Expertise in the Python scientific stack (NumPy, SciPy, Pandas, Polars).
• Strong foundation in linear algebra and vector calculus.
• Experience with linear algebra, vector calculus, and coordinate transformations (reference frame handling) for 3D trajectory processing & spatial data processing Familiarity with 3D spatial indexing (k-d trees, octrees), mesh processing, surface normal calculations, and point-to-mesh / path mapping.
• Experience with statistical modeling, multivariate time-series analysis including descriptive statistics, rolling / window based analysis, trend estimation, rate of change of analysis, correlation analysis,and configurable / dynamic thresholding.
• Experience aligning asynchronous and multi-rate data streams using timestamp-based synchronization, interpolation, resampling, and temporal alignment techniques.
• Experience preparing high-frequency industrial process data for time series analysis and modelling, including data validation, restructuring, segmentation, and generation of model ready spatial-temporal datasets.
• Experience in time series based condition / health monitoring, including analysis of machine status, alarms, fault event, operating conditions, degradation indicators & detection of abnormal trends or behavior Experience processing 3D spatial datasets, time-series data, and vector operations Good-to-Have C++ & Performance Tooling Experience writing C++ code based on functional requirements.
• Familiarity with converting analytical outputs into binary formats (e.g., Protobuf, FlatBuffers) for efficient backend distribution.
• Familiarity with building low-latency 3D spatial calculation engines using standard C++ performance libraries (e.g., Eigen, CGAL).
• Software Engineering & Architecture Experience converting analytical outputs into binary formats (e.g., Protobuf, FlatBuffers) for efficient backend distribution.
• Experience in industrial-grade software development and the software development lifecycle (SDLC).