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Director, Data Science and Research

Company: Sleep Number
Location: San Jose
Posted on: January 16, 2022

Job Description:

Company OverviewSleep Number team members are part of a passionate, purpose-driven culture that supports improving the health and wellbeing of society through higher quality sleep. We are not just focused on our customers, however; being employed by Sleep Number means your personal wellbeing is important, too. As we continue to grow, we are looking for team members who will bring their unique personalities, backgrounds, and skills to work. Whether you are entering, returning, or experienced in the workforce, we have a place for you.In our 35+ years in the industry we have improved over 13 million lives, and we are just getting started. With 5,000+ team members nationwide supporting work disciplines from technology to manufacturing, retail stores to field services technicians, corporate teams to customer service, we are a sleep innovation leader because of our team members. Now is a great time to join us as we invest further in our people and sleep innovation. #TeamSleepNumberSN LABS, a subsidiary of Sleep Number Corporation, is a fast moving, highly technical team of people with the ambitious goal of bringing people better health and well-being through the best possible sleep experience. We combine our established expertise in creating comfortable, adjustable beds with the latest in sleep science, cutting-edge sensor technology, and data processing algorithms. SN LABS is the pioneer of biometric sensor solutions and sleep monitoring technologies and owns the most comprehensive sleep data base in the market.As a Director on our Data Science & Research team, you will play a key role in strategically leading software solutions leveraging bio signal data to support our innovative strategy to maximize customer benefit in the form of improved sleep and sleep data-based insights. Specifically, you will be involved in working with the executive leadership team and cross functional leaderships teams to deliver sleep and health capabilities with an emphasis on scale, performance, and interpretability.Primary Responsibilities

  • Leading Research & Development efforts for the next generation of products, features, services and technologies
  • Research and development of digital signal processing and machine learning methods for noninvasive sleep & health monitoring
  • Managing new product R&D projects starting from concept to feasibility studies, and to proof-of-concept prototypes, and shepherding their development as commercial products
  • Applied algorithm development for health and wellness
  • Lead the design and development of advanced machine learning methods for big sleep data
  • Collaborating cross-functionally to bring research ideas from concept to product development, integration and commercialization
  • Providing key technical input and implementation strategies to drive the companys short- and long-term objectives
  • Plans and directs all aspects of research activities and projects within Algorithm Development. Ensures all research projects, initiatives, and processes are in conformance with organization's established policies and objectives. Utilizes best practice research methods and provides expert technical guidance for research initiatives. Incorporates strategy, investigations, and trials that result in new and remarkable features for the
  • R&D team building and training
  • Lead development of distributed applications, platform infrastructure, and interface to solve large-scale processing problems.
  • Work with embedded and cloud-based software engineering teams to scale and operationalize prototyped concepts and to ensure successful implementation and deployment of algorithms.
  • Stay abreast of latest data science developments and determine if/how these can best be incorporated in our designs.
  • Lead various stake holders (eg. product, engineering team, and external ML partners) to develop analytics and ML/AI solution roadmap and identify key requirements, and drive the validation of requirements in the market by working with early customers.
  • Lead the cross functional team to develop, implement, and monitoring the production-scale analytics products (such as standard dashboards) and ML/AI algorithms on the platform Provide design input
  • specifications, requirements, and guidance to data and software engineering team for building robust data pipeline, and deploying and optimizing the analytics products and ML/AI algorithms
  • Lead analytics initiatives to support customer project deliveries and drive insights for the customers from the data captured on the platform
  • Become a thought-leader, and stay up-to-date in the field of machine learning, AI, and deep learning
  • Support business development and marketing process, and present ML/AL methodology and business value effectively to customers and external partners
  • Collaborate with engineering and research teams to improve algorithms and to support advanced features.
  • Work closely with management and cross functional teams to ensure successful implementation and deployment of algorithms.Knowledge, skills & abilities:
    • Proven written and verbal communication skills to convey complicated processes and systems to business partners.
    • Experience working in a fast-paced, high-tech software development environment and comfortable navigating conflicting priorities and ambiguous problems
    • Exceptional communication skills and an ability to connect people with different points of view and with varying levels of experience
    • Proven ability to attract, build, develop, inspire and motivate technical teams in a fast-paced engineering organization across multiple locations
    • Technical depth in: Bio-Science Technology Product Development, User Experience, Internet of things (IOT), AWS Cloud Computing, location-based services, hardware, software and digital signal processing development, UI/ UX and quality assurance experience
    • Understanding of advanced Biomedical Signal Processing and Machine Learning: DNN, Signal Processing
    • Cardio-Respiratory Patient Monitoring: Filtering, Delineation, Segmentation, Compression, Feature Extraction, Classification, Cardiac Risk Stratification, Myocardial Infarction Detection, T-wave Alternans Analysis, ECG Modeling, Heart Rate Variability Analysis, ECG-Derived Respiration Rate Estimation
    • Cardiac Rhythm Management: Cardiac Electrophysiology, Electrocardiography (body surface and intracardiac electrograms from implantable devices), Diagnostic and Therapeutic Cardiac Technologies
    • Data Analysis: Algorithm Development, Real-Time Data Processing, Learning and Inference, Statistical and Probabilistic Analysis, Validation Techniques
    • Programs: Matlab, LabView, Stata, Python, Tensorflow
    • Strong background and experience in building products based on AI/data science
    • Strong background in signal processing theory and application.
    • Pragmatic, product-oriented approach.
    • Ability to work cross-functionally with minimal supervision.
    • Proven success in managing/leading team of engineers and research scientists
    • Ability to mentor engineers
    • Ability to recruit talented engineers
    • Ability to work with cross functional teams
    • Ability to work with leadership teams
    • Ability to drive complex projects and deliver products for consumer and health sectors
    • Publications or patent applications is a plus.Position Requirements
      • BS/MS degree in biomedical engineering, computer engineering, data science, computer science or similar fields
      • PhD is a plus
      • 10+ years of experience / with at least 5 years experience in a senior leadership role#SIQLPay & BenefitsWELLBEING AT SLEEP NUMBER, WITH SLEEP AT THE CENTERImproving the health and wellbeing of society through higher quality sleep starts with you. We strive to infuse wellbeing into all aspects of our culture championing your emotional, financial, career, community, and physical health.By joining Team Sleep Number, in addition to offering competitive pay programs, we are proud to offer eligible team members an extensive wellbeing package including, but not limited to comprehensive health plan options, 401(k) Plan with discretionary company match, incentive eligibility paid time off and much more:
        • A free Sleep Number 360 Smart Bed for team members, and additional product discounts for friends and family throughout the year.
        • Emotional wellbeing resources to help you balance life, such as free access to therapy, family care concierge and discounted childcare.
        • Financial support when you need it the most - paid parental leave, time to recover from an illness or injury, and saving for lifes expected & unexpected adventures.
        • Opportunities for connection in and outside of work through our Diversity, Equity & Inclusion Council, and volunteerism in our communities.
        • Career development supported by our tuition reimbursement program. and continuous learning and development opportunities.
        • Work for your day flexibility, available for select corporate roles.SafetySafety is a top priority for Sleep Number supporting customers and team members wellbeing. COVID-19 Precaution(s) are in place consistent with CDC guidelines, U.S. Department of Labors Occupational Health & Safety Administration (OSHA), and state/local laws.EEO StatementSleep Number is an equal opportunity employer. We are committed to recruiting, hiring and promoting qualified people and prohibit discrimination based on race, color, marital status, religion, sex (including gender, gender identity, gender expression, transgender status, pregnancy, childbirth, and medical conditions related to pregnancy or childbirth), sexual orientation, age, national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status or any other status protected by federal, state, or local law.Americans with Disabilities Act (ADA)It is Sleep Numbers policy to provide reasonable accommodations to qualified individuals with disabilities during the application process, consistent with applicable law. We may require supporting medical or religious documentation where applicable and permissible by law. If you are a qualified individual, you may request a reasonable accommodation at any time during the selection process, including if you are unable or otherwise limited in your ability to access open roles here.

Keywords: Sleep Number, San Jose , Director, Data Science and Research, Executive , San Jose, California

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