Data Scientist, Sr.
Glendale, CA

Job Description

Work That Matters - Our work is 24 hours a day, 365 days a year. No one has more expertise treating children than Children#s Hospital Los Angeles. CHLA is the only children#s hospital in California to make the prestigious U.S. News # World Report Honor Roll of #Best# children#s hospitals, and is nationally ranked in all 10 pediatric specialties. Join a hospital where the work you do will matter#to you, to your colleagues, and above all, to our patients and families. At times the work may be challenging, but it is always rewarding. We hope you#ll come and find out for yourself. It#s Work That Matters. The Senior Data Scientist directs and carries out data-intensive research and development (R#D). The Senior Data Scientist is required to solve meaningful clinical problems and develop new decision support tools by applying techniques and models from machine learning and computational statistics to large clinical datasets. Qualifications/Work Experience: 5 years# experience in computer science or statistics research. Publications are a plus. Excellent English communication skills, both written and spoken. Preferred experience: ########### Previous experience with open-source software projects ########### Familiarity with clinical domain ########### Familiarity with information visualization concepts and tools # Education/Licensure/Certification: M.S. in Computer Science or Statistics, PhD preferred.#Coursework in machine learning, computational statistics, artificial intelligence, probabilistic models, or optimization.

Qualfications/Work Experience:

Bachelor's Degree in a STEM field and 5+ years' experience conducting data science research, or M.S. or Ph.D. in a STEM field and 3+ year's experience conducting data science research. Publications are a plus. Excellent English communication skills, both written and spoken.

Preferred

* Previous experience with open-source software projects
* Familiarity with clinical domain
* Familiarity with information visualization concepts and tools
* Fluency in Python
* Fluency in Pandas
* Fluency in machine learning libraries (e.g., Keras, Theano, Sci-kit Learn)
* Familiarity with modern relational databases (e.g., MySQL, SQL Server)
* Familiarity with big data technologies (Hadoop, NoSQL databases, etc.)
* Familiarity with project management tools (e.g., JIRA, git)
* Passion for data science and keeping up to date on latest methods

Education/Licensure/Certiication:

B.S in Computer Science, Statistics, Physics, Electrical Engineering, or related field.

M.S. in Computer Science, Statistics, Physics, Electrical Engineering, or related field.

Ph.D. preferred.

Graduate-level coursework in machine learning, data mining, visualization, statistics, artificial intelligence, probabilistic models, or optimization.