Senior Data Scientist

8 hours ago


Boston, United States Syndic8 DMS Full time

You:

You are not a traditional data scientist. You sleep, eat, and breathe Excel and R, but are tired of working task lists in a slow-moving corporation. You enjoy the process of discovering new data challenges and want the freedom to create meaningful solutions in real-time. You are constantly learning, teaching yourself new disciplines, and you are obsessed with the potential uses of neural networks, artificial intelligence, and machine learning. You want the autonomy and responsibility that comes with being the company’s go-to resource for all things data.

In this role, you will translate complex business challenges into data tasks – our managers and clients know what’s wrong, and it is up to you to investigate in the data, determine the cause, and devise an elegant solution. You will continually refine your models to learn from increasing amounts of available information. You will decide what data points should be silently corrected vs. highlighted with intuitive suggestions. This suggestion engine will be the foundation of the company’s core product.

As the quality of data improves, your role will increasingly shift towards predictive analytics – using platform data to drive the high-level business strategies of our clients.

You’ll be a skills fit if you:

  • have 5+ years of experience using R, Python, Excel VBA, Apache Spark, Eclipse Deeplearning4j, and similar libraries
  • have significant experience using AI toolkits such as TensorFlow, Pylearn2, and Pattern
  • have significant experience building and training models using web services such as Amazon Rekognition, IBM Watson, and Google CloudVision
  • have experience with image recognition and image content identification
  • routinely identify high-value data issues, explain their business impact to senior executives, and devise an elegant solution to the problem

You’ll be a character fit if you:

  • enjoy the challenges and rewards of working in a *very* early stage startup (very strong preference for someone who has worked in a


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