Senior Data Scientist

Remote for Covid-19 (some on-site in Boston office post Covid)

This role is with a Syrinx Digital Streaming Partner

12+ Month Contract with Possible Extension (Client will convert full time, if desired)

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. No Corp to Corp.

Ideal fit is someone with a video/audio processing background, but not required.

• Demonstrated understanding of market demand and supply interactions. Working knowledge of forecasting techniques, such as surveys, trend analysis, econometric models and machine learning algorithms.
• Intermediate to advanced skills in programming languages (particularly Python and SQL) and ability to apply them for data acquisition, preprocessing, modeling and monitoring.
• Familiarity with the wide range of data science/analytics software tools (e.g. Jupyter Notebook, SQL consoles, Hadoop, Spark) and cloud computing platforms (e.g. Amazon Web Services).

 

Qualifications:

• 5+ years of experience solving business problems leveraging data and analytics.
• 5+ years of experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications. Skilled in Python, experience with Pandas, Scikit-learn.
• Experience in machine learning techniques, such as Linear and Logistic Regression, Bayesian models, Decision Trees, Random Forests, Neural Networks, Clustering, Time Series Analysis, Forecasting, Survival / Duration Analysis, or similar. Experience with agile development practices and Git version control.
• Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc., Experience with Spark, SQL, Graph stores, or NoSQL stores.
• Domain expertise in financial services, banking, real-time gross settlement and payment related systems
• Data science certification or AWS machine learning certification is a plus