Senior Data Scientist at Smith Hanley Associates (Boston, MA)

Job Description

Title: Senior Data Scientist
Location: Boston, MA
Salary: $130,000 - 160,000
Contact: Paul Chatlos, pchatlos@smithhanley.com
#GD

Senior Data Scientist THE ROLE

As Senior Data Scientist, you will support research and development efforts in a diverse set of challenges as we rapidly prototype and build new products. Many of the concepts we develop require novel use of company and partner data, and the application of current and emerging machine learning techniques. You will interact with product and engineering teams to implement your solutions within internal and customer facing software
products.

Senior Data Scientist Responsibilities include:

-Translate product ideas into well-posed data science challenges, and solve them
-Find new markets and novel applications for our core internal data
-Design and deploy Machine Learning (ML) systems backing our products
-Translate and champion our ML capabilities for non-technical audiences
-Participate in the broader ML community to stay current with the latest techniques and software
-Engage with staff within and beyond the Innovation team, training and advocating for the use of ML techniques in other business areas

Senior Data Scientist Qualifications

-Competencies typically acquired through a Ph.D. degree (in Engineering, Computer Science, Mathematics, or other scientific field of study) and 0-4+ years of relevant experience, a Master's degree (scientific field of study) and 3-5+ years of relevant experience or may be acquired through a Bachelor's degree(scientific field of study) and 4-7+ years of relevant experience.
-Extensive experience analyzing data and a broad understanding of core statistical and ML techniques
-Expertise with Python, Java, C, or similar language, along with standard machine learning libraries
-Proven track record of rapid prototyping and development, leveraging open source or commercial frameworks (e.g., TensorFlow, Hadoop, AWS)
-Computer science background, comfortable working with both technical and non-technical staff to translate concepts and algorithms into working prototypes
-Ability to thrive in a fast-paced environment with significant uncertainty
-Possess strong analytical, strategic, project management, decision-making and problem-solving skills

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