Senior AI, Machine Learning and Data Science Leader 1381 views

Bose is a company built on disruptive innovation—having the courage to challenge the status quo, an unwavering commitment to their customers, and the fundamental belief that anything is possible. They never settle; they have a passion for discovering better ways to help people enjoy the things they love. They need people like you, people with better solutions. If you join them, you’ll find the opportunity to do your best work and the freedom to enjoy it. Here, every employee has the opportunity to build their own success and contribute to theirs. It’s an atmosphere of trust, collaboration, high expectations, and great reward. Their goal is to make your experience exciting and meaningful—a valuable opportunity to contribute to the industry and to Bose.

Bose AI & Data team is looking for an experienced Data Scientist to lead their Artificial Intelligence, Machine Learning, Data Science and Data Analytics satellite team for the Consumer Electronics business. Your team will create algorithms, products and services that improve people lives, helping them feel more, do more and be more. These efforts will lead to smarter Consumer Electronic products providing amazing customer experiences (e.g. personalized and contextual noise cancellation and audio augmented reality), better product management decisions (e.g. feature prioritization), and better engineering and manufacturing decisions (e.g. product quality).

Responsibilities

• Responsible to the Consumer Electronics division leadership for delivering business value with Artificial Intelligence/Machine Learning/Data Science/Data Analytics capabilities and solutions
• Identify and define Artificial Intelligence/Machine Learning/Data Science/Data Analytics value add opportunities across the consumer electronics division – analyze information and recommend strategies to meet business goals and objectives
• Align with Consumer Electronics stakeholders regularly to update and re-prioritize roadmap
• Provide strong leadership to guide an Artificial Intelligence/Machine Learning/Data Science/Data Analytics team – developing people, managing interpersonal challenges and addressing talent gaps
• Develop the management and leadership capabilities of direct reports
• Ensure integration across teams and/or functions
• Establish operational objectives and work plans, coordinate workflow and manage team’s performance
• Plan and staff projects to deliver the roadmaps to schedule – hire, coach, develop and retain staff
• Provide direction to individual team members to achieve objectives
• Influence core Data Science capabilities to support the Consumer Electronics satellite’s short term and long term needs
• Provide technical direction and leadership support
• Initiate and maintain collaborations with outside vendors and academic partners
• Foster a healthy team culture
• Represent the Consumer Electronics Division within the larger AI & Data program and escalate issues when necessary

Competencies

• Exemplary team leadership
• Courageous approach to learning fast
• Strong customer focus
• Highly innovative mindset
• Results oriented and business outcome focused
• Builds effective teams and develops talent
• Technical competencies in Artificial Intelligence, Machine Learning, Data Science and Data Analytics
• Communicates effectively
• Ensures accountability
• Manages conflict
• Keen and quick to understand business strategy
• Ability to deal with ambiguity and change
• Embraces collaboration
• Thinks critically and strategically
• Cultural inclusion
• Flexible and Resilient

Prior Experience

• 5+ years of experience in collaborating with business leadership in delivering business value
• 5+ years of leadership experience with proven ability to lead a highly technical team
• MS or PhD in Machine Learning, Computer Science, Electrical Engineering, or other related fields
• 5+ years of experience in designing, architecting, developing and shipping production-quality AI, ML and DS applications
• Experience with deep learning architectures and frameworks such as TensorFlow, Keras or PyTorch.
• Experience using cloud computing platforms such as AWS or GCP and distributed ML frameworks such as SageMaker, ML Engine, Apache Spark, Neo4j, Elasticsearch or Mahout.
• Experience with edge computing, embedding machine learning and deep learning algorithms into hardware systems
• 3+ years of programming experience in at least two of the following: Python, C++, Java or Scala

Bose is an equal opportunity employer that is committed to inclusion and diversity. They evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company’s pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let them know the nature of your request and your contact information.