Senior Data Scientist

kplace 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.

The Role at a Glance

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.

Key Duties & Responsibilities

Data Science and Machine Learning

• 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

Key Experience & Qualifications

Education

• Bachelor's Degree Mathematics, Statistics, Computer Science, Data Science, Economics, or related field Required

• Master's Degree Mathematics, Statistics, Computer Science, Data Science, Economics, or related field Preferred

Experience

Minimum 5 years Required

• 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) Advanced Required

• Applied statistics (general, probability, sampling, Bayesian, etc.) Advanced Required

• Coding (R, Python, C/C++) Advanced Required

• Algorithms and Models (regression, ensemble, decision trees, clustering, etc.) Advanced Required

• Databases (SQL, NoSQL) Intermediate Required

• Frameworks and Libraries (TensorFlow, scikit-learn, xgboost, panadas, etc.) Intermediate Required

• Knowledge of Microsoft Office (Outlook, PowerPoint, Word) Advanced Preferred

• Data Processing (Hadoop, Spark, Alteryx) Intermediate Preferred

• Knowledge of Visualization Tools (Tableau, PowerBI, etc.) Intermediate Preferred

Other Skills/Knowledge/Abilities

• Strong communication skills (verbal & written) across all levels of the business Required

• Ability to translate data into understandable documents and present findings to internal stakeholders Required

• Business and financial acumen to translate data points into key measures and insights Required

• Ability to define complex technical terms clearly that resonate with non-technical audiences Required

• Cross functional teamwork - comfortable working with data engineers, business analysts, and management teams on broader strategic goals Required

• Ability to operate without fully defined structures and identify improvement initiatives Required

Compensation & Schedule 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. #LI-Hybrid

• The salary (or hiring) range for this position is $120,000 - $145,000 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

• 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/2025/guidebook/

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. To learn more, visit our benefits page: https://careers.brother-usa.com/benefits

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. To learn more, visit our benefits page: https://careers.brother-usa.com/benefits

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. These drivers help us shape a culture that empowers the business to succeed. To learn more about our culture drivers and company culture, visit: https://careers.brother-usa.com/ourculture

About Where We Work

Brother's corporate headquarters for the Americas is in Bridgewater, NJ, across from the Bridgewater Commons Mall. This location houses key corporate functions, including HR, legal, finance, IT, and supply chain, and a significant presence of our business unit leadership and marketing teams. Our manufacturing and distribution facility in Bartlett, TN spans an impressive 1.5 million square feet - equivalent to 26 football fields - and is located on Brother Boulevard. In addition to the distribution center operations team, this facility hosts several other departments, including our customer service group. Brother also has employees based in other locations, such as Westminster, CO, where many of our marketing and product engineering team members from the mobile solutions division operate, as well as our distribution centers in Richmond, VA and Perris, CA. Additionally, our outside sales teams work remotely within their territories, staying geographically close to the accounts they support to ensure they are always "at your side" for our customers.

Links to Learn More

To hear more about our business and culture, visit these helpful links:

• Brother's Product Categories:
  https://careers.brother-usa.com/our-products

• Diversity, Equity, and Inclusion (DEI) and Employee Resource Groups (ERGs):
  https://careers.brother-usa.com/employee-resource-groups-diversity

• Corporate Social Responsibility:
  https://careers.brother-usa.com/our-corporate-social-responsibility-sustainability

• Work-Life and Flexibility:
  https://careers.brother-usa.com/lifeatbrother

• Growth and Development:
  https://careers.brother-usa.com/career-development

• Follow us on LinkedIn:
  https://www.linkedin.com/company/brother-usa/

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 or any other aspect of the application or interview process, a reasonable accommodation will be made upon request.