Data Scientist
Schlumberger
Houston, TX
Description
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.
Benefits
International Opportunities
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Insurance
Health, vision, and dental insurance for you and your dependents available from day one.
Learning Opportunities
Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.
Diverse and Inclusive
Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.
About Us
We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.
Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact accommodationhotline@slb.com to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.
SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.