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Data scientist

São Paulo do Potengi
Hunter Douglas, Inc.
Data Scientist
Anunciada dia 20 março
Descrição

Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.
We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours? Position Overview We are seeking a strategic and technically strong Data Scientist to support high-impact analytical initiatives across finance, strategy, pricing, and commercial functions. This role works directly with the Head of Strategy, and senior commercial leaders to shape business decisions through rigorous analytics, AI-driven insights, and a deep understanding of complex product and channel environments. The ideal candidate brings a blend of technical excellence, business acumen, and the ability to influence outcomes across a diverse set of stakeholders.
What you'll do Strategic Partnership & Collaboration
Serve as a core analytical partner to the CFO, Head of Strategy, and commercial leadership, helping define analytical priorities and shaping strategic decision-making.
Translate evolving business needs into robust analytical plans, ensuring clarity around objectives, data requirements, and expected impact. Advanced Analytics & Data Science Execution
Develop predictive models, segmentation frameworks and optimization analyses to support financial planning, portfolio strategy, and commercial performance.
Build and refine scalable analytics workflows in SQL and Google Big Query, ensuring high-quality data pipelines and efficient processing of large datasets.
Apply AI and machine learning techniques to automate processes, enhance decision-making, and unlock new insights across pricing, customer behavior, and product performance. Revenue, Pricing & Growth Insights
Conduct deep-dive analyses into revenue drivers, product mix, elasticity, promotions, and customer/segment profitability.
Support revenue management or growth initiatives by identifying leverage points for price optimization, margin enhancement, sales acceleration, and product strategy.
Evaluate performance across complex or configurable product portfolios, ensuring insights account for multivariate product and commercial structures. Business Communication & Influence
Synthesize analytical findings into clear, concise narratives tailored for executives and commercial teams.
Help build a data-driven culture by elevating analytical standards, sharing best practices, and improving access to insights. Who you are
5+ years in data science, advanced analytics, revenue management, pricing analytics, or growth-focused analytical roles.
Deep expertise in SQL and Google Big Query, with hands-on experience managing large, complex datasets.
Proven track record partnering with finance leaders, strategy leaders, or senior commercial executives.
Strong business judgment with the ability to proactively identify high-value analytics and AI opportunities.
Experience with complex product portfolios, configurable/custom products, or multi-category commercial environments.
Hands-on experience implementing AI-driven methods within data science workflows.
Excellent communication skills with the ability to align technical insights to business priorities.
Ability to communicate effectively in English, both verbally and in writing (Required)
Previous experience supporting teams globally with a focus on North America (Preferred)
Experience with pricing analytics, elasticity modeling, promotional analysis, or revenue optimization. (Preferred)
Prior work in growth, revenue strategy, commercial analytics, or similar functions. (Preferred)
Proficiency in Python, R, or comparable languages for advanced modeling. (Preferred) What's in it for you
Annual base salary range: BRL 235,000 - 319,000
Bonus target range: 25%
Enjoy our Flexible Time Off (FTO) program designed to support work–life balance (excludes new hires in Illinois).
Generous benefits package
A company culture that prioritizes internal development and professional growth Please note, all offers presented to candidates are carefully crafted to ensure market competitiveness, equity, and reflect the individual candidate’s education, experience, skills and potential. Hunter Douglas is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply. The deadline to apply for this position is April 20, 2026

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