Sr. Data Scientist

  • Permanent
  • Anywhere

Website KLM Careers

KLM Careers

Company : KLM Careers

Country: United States

Location : Mountain View, California

Post: Sun, 19 Sep 2021 07:12:40 GMT

Expires: Tue, 19 Oct 2021 23:59:59 GMT

Apply Job : Apply Online

—————————— Job Description ——————————

Sr. Data Scientist

Mountain View, California

Relocation Acceptable – Locals Preferred

Will sponsor – Must be currently located in the US – NO Exceptions.

We are looking for a Data Scientist with a scientific approach who has strong expertise in data analysis, statistics, programming, and machine learning to join our Data Science team. You will collaborate with Data Scientists, Computer Vision/Machine Learning Engineers, Data Engineers, and members across Software Engineering, Product, and Sales teams to build robust, scalable machine learning models for identification and annotation of the built world. Additionally, you will develop expertise in ground truth generation, model performance analysis, iterative model development, and unsupervised mapping of the feature space to bring scientific rigor, scalability, and robust performance to our core product offerings.

What You’ll Do:

* Develop scientifically rigorous, creative methodologies to continuously improve our machine learning models
* Incorporate machine learning and data-driven decisioning into the core of our infrastructure
* Contribute to design and automation of model training, model post-processing and evaluation pipelines at scale
* Leverage the extensive data generated in addition to data from external sources to generate structured knowledge about our feature space
* Present your results internally and externally;
* Defend your methodology and incorporate feedback from internal teams as well as customers.
* Improve model performance by identifying failure modes using supervised and unsupervised learning techniques
* Ideate and implement data-driven methodologies to help scale model performance across geographical, climatic, and temporal dimensions
* Implement automated solutions for ensuring data quality and delivery
* Explore and mine new data sources that will help optimize and validate our models
* Link model capabilities to market needs by customizing models, designing and running validation studies
* Contribute to peer mentorship, knowledge bases, and skills transfer


1. PhD in a STEM field and 1-3 years of hands-on industry experience

2. Solid knowledge of statistical techniques, including hypothesis testing, statistical sampling, significance testing, statistical inference, maximum likelihood estimation, and experimental design, among others.

3. Mastery of, supervised and unsupervised algorithms and their implementations, machine learning concepts including regularization, learning curves, optimizing hyperparameters, cross-validation, among others.

4. Advanced knowledge and significant programming experience in Python programming or other scripting language including relevant libraries like numpy, pandas, SciPy, matplotlib

5. Familiarity with the Linux environment including shell scripting, Git and tools for reproducibility (e.g. virtual environments, Docker )

6. Demonstrated expertise in building data tools for ETL and data analysis

7. Experience in building meaningful data visualizations using at least one scripting-based visualization tool such as matplotlib, js [ bokeh

8. Experience designing data schemas and extracting data from SQL and NoSQL databases. – nice to have

9. Experience with GIS systems. – nice to have

10. Experience with modern data technologies, e.g.

Spark, pytorch, Jupyter Notebook, DockerExperience with cloud

computing on AWS or GCP – nice to have

To apply for this job please visit www.resume-library.com.