Data Scientist Engineer

Alten Group; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Global aerospace clients

Innovation culture

Career growth

Continuous learning

Job summary

ALTEN India in Bengaluru seeks a talented engineer to advance Python-based analytics for 3D spatial data and industrial time-series modeling. You will work on trajectory processing, data synchronization, and scalable back-end components.

Ideal candidates have strong math background, experience with NumPy/SciPy/Pandas, and C++ tooling to deliver high-performance software in a dynamic aerospace-focused environment.

Qualifications

• Expertise in Python scientific stack (NumPy, SciPy, Pandas, Polars) required.
• Strong foundation in linear algebra and vector calculus is essential.
• Experience with 3D trajectory processing, spatial data processing and reference frame handling.

Responsibilities

• Develop and optimize time-series models for high-frequency industrial data.
• Implement 3D spatial processing workflows and data synchronization across streams.
• Build efficient backend components for distribution of analytical results.

Skills

Python scientific stack

Linear algebra

Coordinate transformations

3D trajectory processing

3D spatial indexing

Mesh processing

Statistical modeling

Time-series analysis

Data alignment

Vector calculus

Education

BE/B.Tech/MCA

Tools

C++

Protobuf/FlatBuffers

Eigen

CGAL

ROS2

Job description

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

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).
• Familiarity with ROS2 for robotics application development.

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).

Experience: 2-3 Years

Education: BE/B.Tech/MCA

Employment: Full Time

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.