Principal Data Scientist

Smith Hanley Associates, Seattle, WA (United States)

Category: Programming

Posted on: 20 Nov 2020

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Job DescriptionTitle: Principal Data Scientist
Location: Seattle, WA
Salary: $150,000 - 200,000
Contact: Paul Chatlos, pchatlos@smithhanley.com
As the Founding/Principal Data Scientist, you will establish our company's approach to
many problems involving analysis of software developer processes, source code, and
production outcomes of that source code. Working with the founding team, you'll make choices
about problems to tackle, and the tools and techniques we'll continue to use into the future.
You'll be responsible for both investigating problems in our data set, and building production
models to predict outcomes. We'll count on you to research and select techniques, and to
present those decisions to the team. You're the expert, but we all need to come along for the
ride. You, along with the rest of the team, will integrate, ship and maintain models you develop
in production. We will look forward to your stewardship of data, modeling, and quality metrics.
The Principal Data Scientist has used:
-Jupyter notebooks
-SciKit-learn, Pandas, MatplotLib, etc. to manipulate, model and present data
-MapReduce, Spark, etc. to process data at scale
-PyTorch, TensorFlow, Keras, etc.
Some of the techniques youfre familiar with:
-Descriptive and predictive statistics
-Regression analysis, including logistic regression and other regression techniques
-Feature engineering
-Deep learning
-Natural language processing
About the team
Led by a founder with a diverse business, engineering and product background, wefre a team of
gdoersh. We work on hard problems and we take a technical approach. We aim to be best in
class, with the best methodology and the best technology.
We work hard and appreciate other people who work hard too. We're motivated and engaged
by solving customer and data problems. Making things that work well is exciting to us and we
prioritize seeing results quickly and iterating. These are early days and there's plenty to do.
That's what gets us up in the morning.


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