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Data Scientist
Bose Corporation
Boston, MA, United States
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Bose is looking for a data scientist to join its new and growing corporate data science group. The mission of this group is to develop, extend and use data science, data engineering, machine learning (ML), artificial intelligence (AI), and related technologies, algorithms, and tools to extract insights from data for driving business value. As the corporate center of excellence for data science, this group will provide world-class data science expertise, support and consulting to all business divisions (including consumer electronics and wellness) and functional units (including sales, marketing, research, supply chain, finance, product design and development) across the company. The desired business outcomes will include improved customer experiences, personalized recommendations and digital optimization.
This is a unique opportunity to grow the data science capabilities of a highly-respected multi-billion-dollar global consumer brand that produces industry-leading hardware devices and software.
Key capabilities and competencies
• Expertise in developing, prototyping and productizing algorithms in areas such as data science, AI, ML, deep learning, probabilistic and statistical modeling and reasoning, and mathematical optimization
• Proficiency in data science software development using languages and frameworks such as Python, R, MATLAB, Tensorflow, and cloud machine learning engines
• Experience in working with big data frameworks such as Hadoop and Spark, cloud platforms such as AWS and GCP, visualization platforms such as Tableau, and SQL and other NoSQL databases.
• Passion for using data and insights to improve customer experiences and business outcomes, while helping people do their job better
• Appreciation for the sort of precision and excellence that Bose has always been known for in audio
• Responsible for mining, analyzing, and modeling large structured and unstructured datasets, and applying advanced statistical predictive models and leading machine learning algorithms to solve business questions
• Creatively translate business problems into a subset of data science problems that leverage appropriate methodology (e.g., classification, regression, probability estimation, etc.), evaluate the results rigorously, and transform the results into insights and recommendations that are clearly communicated to the business
• Drive requirements for data systems professionals to develop the corporate data platform for ingestion, analytics, governance and delivery of data and insights.
• Champion and educate the business and product owners on ways to extract value from data that can be collected from our products or externally.
• Provide analytics results directly to business users, allowing them to identify trends and insights
• Develop and implement big data and artificial intelligence capabilities to help enhance customer experience.
Job Requirements
• A Bachelor’s degree (Master’s or PhD preferred) in computer science, business analytics, applied mathematics, statistics, engineering, economics, social sciences or related fields.
• 5+ years of experience in developing data science and analytics solutions for business applications using ML and AI technologies
• Proven track record of working with big data and social data, as well as cloud-based delivery of solutions
• Strong domain knowledge and a keen understanding of how to leverage IT and data analytics tools
• Excellent analytical, communication and presentation skills