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The Director, Data Science and Machine Learning leads our data science team and drives the successful execution and implementation of data-driven initiatives across Brother. This role leverages expertise in data engineering, behavioral analyses, time series data, and cutting-edge open-source tools to deliver actionable insights and innovative solutions. This role plays a pivotal role in transforming raw data into strategic business advantage.

As a member of the Data Enablement and Process Excellence Group (DEPEG) leadership team, this position is expected to work together with the Senior Director and other leaders within the internal team to establish group cohesiveness, efficient and effective work and communication flows (both within and outside of the DEPEG) and a team culture that embodies the core performance management competencies, a baseline of professionalism, data-based decision- making, and a one-brother and service-oriented mindset.

Duties and Responsibilities

Data Science and Machine Learning Strategy and Execution

  • Strategy and Vision: Develop and execute a holistic data science and machine learning strategy that aligns with our business goals, harnessing the expertise in behavioral analyses and time series data to uncover valuable insights
  • Project Execution: Oversee a spectrum of projects ranging from fundamental statistical analyses to intricate deep neural network endeavors. Collaborate closely with cross-functional teams to ensure timely project completion and alignment with business objectives
  • Stakeholder Collaboration: Work directly with stakeholders to scope projects and guide their evolution as insights emerge from ongoing work while adapting strategies based on evolving data understanding
  • Innovation: Stay at the forefront of data science and machine learning advancements, identifying opportunities to pioneer creative solutions and propel our organization forward
  • Privacy and Ethics: Uphold the highest standards of data privacy and ethics, utilizing the knowledge to deliver impactful results while safeguarding the company's reputation and compliance with regulations
  • Data-Driven Problem Solving: Devise data-driven approaches and strategies to address intricate business challenges effectively
  • Technology Evolution: Collaborate with evolving technology stacks and infrastructure to deploy scalable and reliable data science solutions, including but not limited to Python, open-source tools, and cloud platforms
  • Performance Insights: Develop and monitor key performance indicators (KPIs) to evaluate the effectiveness of data science initiatives and refining strategies to optimize performance
  • Communication Excellence: Convey complex technical insights to non-technical stakeholders, both in written reports and oral presentations, influencing decisions and fostering understanding
  • Execution: Manage, process, and interpret specialized large, complex data sets from a wide range of sources to prepare it for analysis. Manage the development and implementation of machine learning models to solve business problems and drive data-driven business decisions.

Leadership

  • Serve as an active, passionate, and engaged member of the Data Enablement and Process Excellence leadership team
  • Influence cohesiveness and collaboration among the leadership team to align team goals to the overall vision of the data and process excellence strategy
  • Seek out work/projects for the entire team and engage members at all levels of continuous improvement output
  • Provide updates and communicate about projects, work output, and relevant information cascaded from other areas of the organization

Management of the Data Science and Machine Learning Teams

  • Manage overall operations of Data Science and ML Team and its members:
  • Serve as a role model/mentor for the team
  • Develop skills and capabilities
  • Embed a data-first, quality management and efficiency/effectiveness mindset
  • Address performance issues swiftly – together with HR
  • Deliver good and timely feedback
  • Lead a diverse team of skilled data scientists, machine learning engineers, and analysts, nurturing a culture of collaboration and innovation, while ensuring successful project delivery and professional growth
  • Ensure members are skilled in their relevant areas of expertise and hold the appropriate certifications
  • Establish written/documented work processes and best practices to provide overall excellence
  • Illustrate overall excellence in prioritizing, overseeing, organizing, and communicating about the team's work and its members
  • Ensure the work performed by/on behalf of the Data Science and Machine Learning team is compliant, produced using approved company provided tools, and of an acceptable level of quality and reliability
  • Develop a team culture that embodies the core performance management competencies, a baseline of professionalism, data-based decision-making, and a one-brother and service-oriented mindset

Education

  • Bachelor's Degree (or equivalent experience) Mathematics, Statistics, Computer Science, Data Science, Economics, or related field Required
  • Master's Degree (or equivalent experience) Mathematics, Statistics, Computer Science, Data Science, Economics, or related field Preferred

Experience

  • 10+ years of data architecture, analytics development, or machine learning experience Required
  • At least 5+ years building and leading high performing teams of Data Scientists and Data Professionals Required

Software/Technical Skills

  • Applied statistics (general, probability, sampling, Bayesian, etc.) Advanced Required
  • Coding (R, Python, C/C++) Advanced Required
  • Databases (SQL, NoSQL) Advanced Required
  • Data Processing (Hadoop, Spark, Alteryx) Advanced Required
  • Algorithms and Models (regression, ensemble, decision trees, clustering, etc.) Advanced Required
  • Frameworks and Libraries (TensorFlow, scikit-learn, xgboost, panadas, etc.) Advanced Required
  • Knowledge of Microsoft Office (Outlook, PowerPoint, Word) Intermediate Required
  • Strong knowledge of Excel (including macro skills) Intermediate Required
  • Knowledge of Visualization Tools (Tableau, PowerBI, etc.) Intermediate Preferred

Other Skills/Knowledge/Abilities

  • Experience developing data strategy to enable business results Required
  • Expertise in conveying complex technical concepts to non-technical audiences Required
  • Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and business leaders Required
  • Extensive experience in at least one cloud platform (e.g., AWS) and associated machine learning services, e.g., Amazon SageMaker Required
  • Advanced business intuition and a solution orientated approach to problem solving Required
  • Familiarity with Agile software development practices Required
  • Strong presentation skills that provide insightful analysis and the ability to influence decision-making across all levels in the organization including senior management Required
  • Proven leadership skills with the ability to develop and mentor Required
  • Proven ability to influence across businesses that leads to acceptance and utilization of data driven decision making Required

This role will be a hybrid role. Subject to business needs, employees may work remotely up to two days per week. Assigned office days will be determined by managers.

#LI-Hybrid

  • The salary (or hiring) range for this position is $180,000-$213,000 per year
  • Starting salary to be determined by the education, experience, knowledge, skills and abilities of the applicant, internal equity, location, and alignment with market data
  • This position is eligible to participate in the relevant Brother variable pay incentive plan(s). Applicable bonus awards are discretionary and contingent upon 1) achievement of your individual objectives and 2) Brother achieving its corporate and business-level objectives
  • Benefits include, but are not limited to, healthcare and wellness coverage, life and disability insurance, 401K, tuition reimbursement, and Paid Time Off. Details are available at https://mybenefits.nfp.com/Brother/2024/guidebook/

Brother International Corporation has earned its reputation as a premier provider of home office and business products, home appliances for the sewing and crafting enthusiast as well as industrial solutions that revolutionize the way we live and work. Brother International Corporation is a wholly-owned subsidiary of Brother Industries Ltd. With worldwide sales exceeding $6 billion, this global manufacturer was started more than 100 years ago. Bridgewater, New Jersey is the corporate headquarters for Brother in the Americas. It has fully integrated sales, marketing services, manufacturing, research and development capabilities located in the U.S. In addition to its headquarters, Brother has facilities in California, Illinois and Tennessee, as well as subsidiaries in Canada, Brazil, Chile, Argentina, Peru and Mexico. For more information, visit www.brother.com.

Brother International Corporation ("Brother") is an equal opportunity employer and does not discriminate or make employment decisions on the basis of race, color, religion, sex, disability, or any other characteristic protected by applicable state or federal laws. If you require any physical or other assistance in completing this application, a reasonable accommodation will be made upon request.

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Confirmed 22 hours ago. Posted 30+ days ago.

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