Senior Data Scientist

Company Overview Brother is a leading provider of home and office equipment, sewing and crafting products, and industrial solutions. With a legacy spanning over 115 years, our brand is renowned for producing award-winning printers, sewing machines, P-touch labelers, and more. Brother International Corporation (BIC) was established in 1954, marking over 70 years of operations in the United States. Our Americas headquarters is located in Bridgewater, New Jersey. BIC is a wholly owned subsidiary of Brother Industries Limited (BIL), which was founded in 1908 in Nagoya, Japan, and operates in more than 30 countries worldwide. Brother’s Americas presence includes subsidiaries in Canada, Mexico, Brazil, Argentina, Chile, and Peru. Why Work at Brother? Brother has consistently been recognized as a best place to work, reflecting our commitment to fostering a workplace culture aligned with our core values of being inclusive, collaborative, customer-centric, and socially responsible. We value work-life balance and flexibility, and as a result have introduced policies such as our hybrid office schedule, casual dress code, and flexible Fridays, which allow us to wrap up meetings for dedicated focus time or to start our weekends sooner, year-round. Our commitment to employee growth and development is demonstrated through our offering of facilitated courses and certificate programs and our investment in resources that enable self-paced learning. Role Overview The Senior Data Scientist leverages advanced analytics and the scientific method to uncover insights from complex data sets, including behavioral, time series, structured, and unstructured data. This role leads the development and implementation of data science solutions that inform strategic decisions working in close partnership with cross functional teams - such as data engineers, business analysts, and business stakeholders - this role proactively identifies opportunities, designs and validates models using statistical and machine learning techniques, and translates analytical findings into actionable insights for diverse audiences including non-technical stakeholders. Additionally, the Senior Data Scientist provides mentorship to junior team members and champions best practices in analytics and model deployment. Duties & Responsibilities Lead the cleaning and preparation of complex data from diverse sources to ensure data quality and readiness for advanced analysis Design and implement statistical models to solve business problems and drive business decisions Collaborate with senior business leaders and cross-functional teams to translate strategic objectives into data-driven solutions Apply advanced statistical and predictive modeling techniques to optimize customer experience, revenue, operations, and other key outcomes Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance Create clear, compelling visualizations and narratives to communicate complex insights to technical and non-technical stakeholders Stay current on emerging data science methodologies, tools, and technologies; evaluate and propose innovative approaches Establish efficient, automated processes for model development, model validation, model implementation, and large-scale data analysis Business Strategy Insights Translate complex business data into strategic insights that inform planning, product development, and decision-making Conduct root cause analyses and uncover key trends to address critical business challenges and opportunities Serve as a trusted advisor and liaison to product teams, ensuring insights are embedded into decision-making across the organization Partner with internal stakeholders to analyze and interpret market data, supporting more effective product positioning and marketing strategies Champion a culture of analytics by combining business acumen with compelling storytelling and visualization to drive action and alignment across teams Training and Mentorship Mentor junior members of the analytics & insights team to elevate overall team capability and maturity in data science Foster a culture of continuous learning and contribute to the establishment of best practices in model development, testing, and monitoring Experience & Qualifications Bachelor's Degree in Mathematics, Statistics, Computer Science, Data Science, Economics, or related field Master's Degree (Preferred) Experience 5+ years experience utilizing descriptive, predictive and/or prescriptive analytics to provide business insights; Experience with data mining, mathematics and statistical analysis; Experience with applied data science and predictive analytics using large/complex data sets Software/Technical Skills Strong knowledge of Microsoft Excel (including macro skills) Applied statistics (general, probability, sampling, Bayesian, etc.) Coding (R, Python, C/C++) Algorithms and Models (regression, ensemble, decision trees, clustering, etc.) Databases (SQL, NoSQL) Frameworks and Libraries (TensorFlow, scikit-learn, xgboost, panadas, etc.) Data Processing (Hadoop, Spark, Alteryx) (Preferred) Knowledge of Visualization Tools (Tableau, PowerBI, etc.) (Preferred) Other Skills/Knowledge/Abilities Strong communication skills (verbal & written) across all levels of the business Ability to translate data into understandable documents and present findings to internal stakeholders Business and financial acumen to translate data points into key measures and insights Ability to define complex technical terms clearly that resonate with non-technical audiences Cross functional teamwork - comfortable working with data engineers, business analysts, and management teams on broader strategic goals Ability to operate without fully defined structures and identify improvement initiatives Additional Details For This Role 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. Base Salary The targeted base salary range for this position is $120,000 - $145,000 per year. Base salary is determined by the education, experience, knowledge, skills, and abilities of the successful candidate, as well as factors such as internal equity, cost of labor in the hiring location, and alignment with market data. The base salary accounts for the entirety of the on-target earnings for this role. No additional incentives or variable pay are applicable. Our Benefits We offer a comprehensive benefits package with diverse plan options to meet your family’s needs, including health, vision, and dental insurance—all effective from day one of employment. Under our 401(k) retirement savings plan, we match up to 100% of the first 4% of employee contributions, with employer matches vesting immediately. Additionally, we offer an educational assistance program that reimburses up to 100% of tuition, lab fees, textbooks, and other related expenses for qualifying programs. Our Mission, Vision & Culture Our mission is to live our “at your side” promise to simplify and enrich the lives of our customers, employees, and communities. We aim to be where people and technology meet, providing products and solutions that enhance how people live, work, and create. We look to our strategic culture drivers - accountability, authenticity, boldness, and excellence - to enable us to consistently deliver on our vision, mission, and shared values. Equal Opportunity Employer (EOE) Statement Brother International Corporation (

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