Jobs at Syrinx

Sr. Data Scientist

Philadelphia, PA

Our ideal player will:

Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting and optimization
Work with Software development team to deploy models as micro-services leveraged inside of business software products
Monitor, maintain, and refine predictive models as necessary, including re-training
Work with product team to align software goals with KPI’s via empirical measure of effectiveness
Participate in the agile / scrum process
Follow the CRISP-DM process to generate robust documentation associated with iterative work
Present results to technical and business stakeholders.

Our ideal player will have:

M.S. or higher in computer science, mathematics or related discipline with a focus on machine learning or the equivalent of 5 years of experience in machine learning, forecasting and
Practical experience in building evaluating and deploying machine learning pipelines as with python, preferably within AWS or GCP ecosystem
Strong programming skills in Python, fluency in data manipulation (SQL, Spark, Pandas), machine learning (e.g. scikit-learn, Keras/Tensorflow, pymc3) and optimization (e.g. linear programming) tools
Experience with accessing and organizing data drawn from relational and non-relational data stores.
Experience in cloud computing ecosystems (preferably in AWS and GCP)
Practical experience in deep learning architectures and frameworks
Proven background answering open ended research questions using data
Experience with computational statistics and understanding of theoretical fundamentals of statistics and mathematical workings of machine learning algorithms.
Strong analytical and quantitative problem-solving ability.
Demonstrated communication skills including the ability switch between technical and business contexts.
Preferably a background in software development

Extra Credit if you have: