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Up Directory CCL 19.04.30 Data Scientist in Kyulux North America, Boston, USA
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To: jobs at
Date: Tue Apr 30 11:48:27 2019
Subject: 19.04.30 Data Scientist in Kyulux North America, Boston, USA
Kyulux is seeking a data scientist for its data engineering team to help 
discover new OLED materials alongside colleagues in the lab. 

This position is in the Kyulux data engineering team.  This world-class 
team is responsible for developing software tools; performing high 
through virtual screening with quantum chemistry and cheminformatics; 
using machine learning and data science on theoretical and experimental 
data with the goal of discovering new materials for OLED displays 
alongside our colleagues in the lab.  Your job is to push forward our 
science with an approach that leverages scientific intuition, 
evidence-based reasoning, practicality and wrangling copious amounts data.

Duties and responsibilities

- Use advanced statistical and data science concepts, combined with 
experimental/ theoretical chemistry data, to answer scientific inquiries 
about materials.
- Create and evaluate machine learning models to answer these scientific 
- Clean messy data from disparate sources.
- Design, write, & debug command line tools using the Python programming 
- Use version control tools to collaborate on code with colleagues.
- Document your work such that colleagues can use your tools unattended 
or repeat your scientific inquiry, such as in a Jupyter notebook, slide 
deck, or documentation.
- Present work periodically on biweekly evening video calls with team in 
Japan or in person with local team.


- Ph.D. or similar experience in chemistry, engineering or physics; a CS 
background with exposure to general chemistry concepts would also be 
- At least 2 years experience writing software in Python.
- Some project based work that demonstrates proficiency in data science 
- Evidence of effective verbal and written and communication skills, for 
example, experience giving seminars and writing peer-reviewed scientific 

Preferred Skills

- Version control with git or similar.
- Big picture understanding of neural networks (hands-on experience a 
- Database querying using Django or SQL; understanding of relational 
- Scientific computing packages including numpy, pandas, scipy, 
matplotlib (or other plotting favorite), jupyter notebook.
- Machine learning packages such as scikit-learn.

Working conditions

40 hour work week mostly in downtown Boston office excepting 1-2 hours a 
week from home to participate in weekly phone calls with Japan (approx. 
8pm).  Travel to Japan is an option but not required.
Interested applicants should contact Carolina Roman-Salgado 
(recruit_kna AT and supply a copy of their CV with a 
brief cover letter.
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Modified: Tue Apr 30 15:48:27 2019 GMT
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