Data Scientist

Houston, MS - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client Limited is an oilfield services company and has more than 140 nationalities working in more than 120 countries. This Client has four principal executive offices located in Paris Houston London and The Hague. This Client is the worlds largest offshore drilling company.

Job Title: Data Scientist

Duration: Full Time

Work Location: Houston TX 77077

Job Type: Full Time

Work Type: Hybrid

Job Description:

Build train and deploy large-scale self-supervised foundation models that learn rich representations of time series sequential sensor data in addition to textual and vision data to be fine-tuned for tasks such as anomaly/event detection predictive maintenance forecasting classification or multi-modal sensor fusion for industrial and scientific applications.

Data/Signal Processing

Time Series & Sequential Data: processing augmentation feature engineering for financial industrial IoT medical or other sensor streams (univariate/multivariate time series).
Sensor Data Analysis: expertise with diverse sensor modalities (e.g. accelerometers temperature vibration audio images) sampling rates synchronization and real-world noise/artifact handling.
Multi-Modality Learning: integrating heterogeneous data types (time series images text audio structured) into robust deep learning architectures; cross-modal representation learning.

Machine Learning & Foundation Model Expertise

Self-supervised and Semi-supervised Learning: time series foundation models masked modeling contrastive methods temporal predictive coding multimodal alignment and fusion.
Model Architectures: sequence models (RNNs GRU/LSTM TCN) 1D/2D/3D CNNs Transformers (BERT ViT TimeSFormer) graph neural networks diffusion/generative models multi-modal/fusion encoders.
Transfer Learning & Fine-Tuning at Scale: prompt/adapter-based strategies temporal domain adaptation few-shot learning for specialized tasks.
Evaluation Metrics: regression/classification (MSE F1 AUC) time series similarity (DTW correlation) event detection/segmentation (IoU accuracy) business/end-user KPIs.

Software & Infrastructure

Programming: expert Python (NumPy SciPy Pandas) C/CUDA for custom kernels and high-performance preprocessing.
Deep Learning Frameworks: PyTorch (Lightning Distributed) TensorFlow/Keras JAX/Flax.
Large-scale Training: multi-GPU multi-node clusters mixed-precision ZeRO optimization scalable data loaders for long sequences.
Data Engineering: robust pipelines for ingesting cleaning segmenting and aligning large-scale time-synchronized multi-sensor datasets.

Mathematical & Algorithmic Foundations

Linear Algebra Probability & Statistics Optimization (stochastic convex/non-convex Bayesian).
Signal Processing: Fourier/wavelet analysis filters (Kalman Savitzky Golay) resampling noise modeling.
Numerical Methods: ODE/PDE solvers inverse problems regularization time-frequency methods for complex systems.

Collaboration & Communication

Cross-disciplinary teamwork with domain experts engineers product owners and end-users from industrial scientific or medical backgrounds.
Clear presentation of complex model behaviors (interpretability attention analysis) uncertainty quantification and value impact.
MS / Ph.D. in computer science data science and AI or related fields
3 years of relevant experience in data science and AI or related fields.

TekWissen Group is an equal opportuity employer supporting workforce diversity.

Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client Limited is an oilfield services company and has more than 140 nationalities working in more than 120 countries. Thi...