data scientist

7 days ago


Pune, Maharashtra, India CodePlateau Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Hiring: Data Scientist / AI Specialist (7+ Years Experience)

Location:
Remote

Timezone:
UK / US / IST (with overlapping hours)

Note:
Candidates must include
live links to relevant projects
in their CV.

About the Role

We are looking for a highly skilled
Data Scientist / AI Specialist
to lead the design and development of advanced analytics and machine-learning solutions for a
gravimetry and magnetometry project
.

You will be responsible for building end-to-end data pipelines, implementing ML models, and collaborating closely with scientists and engineers to deliver the core technical outputs.

Key Responsibilities1. Data Processing & Signal Analysis

  • Process raw gravity, magnetic, IMU, and GNSS sensor data.
  • Develop filtering, denoising, drift/vibration correction, and resampling pipelines.
  • Convert time-series sensor outputs into calibrated spatial anomaly profiles.

2. Simulation & Synthetic Data Development

  • Create synthetic datasets using physics-based forward models.
  • Add instrument, environmental, and vibration-related noise.
  • Build labelled hazard-detection datasets (voids, water ingress, weak zones, utilities, etc.).

3. Machine Learning & Anomaly Detection

  • Design, train, and evaluate models for:
  • anomaly detection
  • subsurface hazard classification
  • uncertainty quantification
  • Use classical ML (Random Forest, XGBoost, SVM) and deep learning (CNN, LSTM, autoencoders, transformers).
  • Develop semi-supervised and unsupervised models for limited labelled data.

4. Multi-Sensor Data Fusion

  • Develop fusion architectures integrating multiple sensor streams.
  • Implement early, mid-level, and late fusion techniques.
  • Estimate anomaly probability scores with confidence intervals.

5. Spatial Analytics & Geospatial Modelling

  • Convert anomaly outputs into geospatial hazard maps.
  • Use GIS tools (QGIS/ArcGIS) for interpolation and corridor mapping.
  • Assist with 1D/2D/3D geospatial visualisations.

6. Technical Reporting & Demonstrations

  • Document algorithms, pipelines, and findings.
  • Support feasibility studies and business-case documentation.

Essential Skills & ExperienceAI / Machine Learning

  • Strong Python skills (NumPy, SciPy, Pandas, PyTorch and/or TensorFlow).
  • Experience with time-series analysis, anomaly detection, and deep learning.
  • Ability to design complete ML pipelines from scratch.

Signal Processing

  • Experience with filtering, PSD analysis, spectral methods, Kalman filtering.
  • Skilled at working with noisy, multi-sensor real-world datasets.

Geospatial & Modelling

  • Experience with spatial data, GIS tools, DEMs, coordinate transforms.
  • Exposure to geophysical modelling or physics-driven ML is a plus.

Software Engineering

  • Ability to write clean, modular, reproducible scientific code.
  • Version control and modular ML pipeline development experience.

Communication

  • Strong documentation and technical writing abilities.
  • Comfortable collaborating with physicists, engineers, and PMs.

Desirable (Nice-to-Have) Skills

  • Experience with gravity/magnetic modelling tools (Fatiando a Terra, GemPy, Oasis Montaj).
  • Background in
    geophysics
    ,
    quantum sensing
    , or
    engineering physics
    .
  • Knowledge of Bayesian modelling & advanced data fusion.
  • Experience with:
  • quantum sensors
  • inertial navigation systems
  • UAV/drone survey datasets
  • geotechnical, transport, or civil infrastructure projects

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