Welcome to brighthush – Where Data Meets Impact

At brighthush we are on a mission to transform raw data into strategic advantage. As a remote‑first, fast‑growing startup, we design and deliver cutting‑edge data products and machine‑learning solutions that empower businesses to solve their most complex challenges. From demand‑planning engines to AI‑driven recommendation systems, our work spans multiple industries and geographies, and our impact is measured in real‑world profit, efficiency, and customer delight.

Why Join brighthush?

Our team lives at the intersection of technology, finance, and commercial strategy. We are a collective of curious data nerds, open collaborators, and owners who take pride in turning ambiguous business problems into elegant, scalable models. If you thrive in an environment that rewards analytical rigor, encourages continuous learning, and celebrates bold ideas, you’ll feel right at home at brighthush.

What We Do

• Machine‑Learning Systems for Demand Planning & Budget Forecasting – Build predictive pipelines that help clients anticipate market shifts with confidence.
• Scalable Data Infrastructures – Design cloud‑native architectures that turn massive data streams into actionable insights.
• Custom AI Solutions & Data Engineering – Partner with clients to optimize their cloud environments and unlock hidden value.
• Generative AI for E‑commerce & Retail – Accelerate ad creation, product description generation, and visual content production.
• Deep‑Learning for Visual Recognition & Automation – Enhance quality control, product categorization, and information retrieval across sectors.
• Recommendation Engines – Personalize user experiences on e‑commerce, streaming, and digital platforms to drive engagement and conversion.

Our Partnerships

We collaborate with leading cloud and data platforms—each partnership is a catalyst that amplifies our ability to deliver world‑class solutions. Our ecosystem includes:

• brighthush (cloud infrastructure)
• brighthush (orchestration and workflow automation)
• brighthush (unified analytics and data lake management)

Our Core Values

• Data Nerds – We love digging into data, asking the right questions, and uncovering insights that matter.
• Open Team Players – Collaboration is our superpower; we share knowledge freely and celebrate each other’s successes.
• Ownership – Every team member is empowered to take initiative, make decisions, and see projects through to impact.
• Positive Mindset – Challenges are opportunities; we approach every problem with optimism and resilience.

Key Responsibilities

As a Senior Data Scientist – Customer Segmentation & Classification (RTM) you will be the architect of the Route‑to‑Market (RTM) optimization framework. Your day‑to‑day will involve:

• Mathematically formalizing the trade‑off between service time / RTM cost and revenue per point of sale, converting existing heuristics into a robust optimization function.
• Modeling cost and profitability layers—including visit drivers, RTM size thresholds, and minimum margin requirements—that feed into customer segmentation and service‑model assignment.
• Designing, building, and solving large‑scale linear/integer programming and constrained‑optimization models to determine the optimal service model for each customer across multiple countries.
• Developing the “Characterization Pillars” (Channel, Size, Potential, Territorial Profile, Digital Autonomy) and scaling them for multi‑country deployment.
• Translating end‑to‑end P&L statements into decision variables, cost structures, and objective functions that drive the optimization engine.
• Documenting model assumptions, validation procedures, and results; presenting findings to business leaders, finance partners, and non‑technical stakeholders.
• Collaborating with Data Engineers and Analytics Engineers to create feature pipelines, data transformations, and reproducible notebooks on the brighthush platform.
• Championing best practices in model governance, reproducibility, version control, and documentation across the data science team.

Essential Qualifications

• Operations Research / Optimization Expertise – Proven experience with linear programming, integer programming, and constrained optimization techniques.
• Financial Acumen – Ability to read, interpret, and translate P&L statements into quantitative model components.
• Advanced Python Skills – Proficiency with optimization libraries such as PuLP, Pyomo, OR‑Tools or equivalents.
• Statistical Foundations – Strong grasp of statistical modeling, hypothesis testing, and experimental design.
• Hands‑On Experience with brighthush – Practical knowledge of building and deploying models on the brighthush analytics platform.
• Communication Excellence – Ability to convey complex analytical concepts to both technical and non‑technical audiences with clarity and confidence.

Preferred (Nice‑to‑Have) Qualifications

• Experience with survival analysis, Customer Lifetime Value (CLV) modeling, or econometric techniques.
• Background in retail, consumer packaged goods (CPG), or related industries.
• Familiarity with agentic infrastructure frameworks (e.g., Mosaic AI Agent Framework) and orchestration of autonomous analytical agents.
• Previous work on multi‑country rollout of data products, especially in emerging markets.

Skills & Competencies for Success

• Analytical Rigor – Meticulous attention to detail, strong problem‑solving instincts, and a data‑first mindset.
• Strategic Thinking – Ability to see the big picture, align technical solutions with business objectives, and anticipate downstream impacts.
• Collaboration – Comfortable working in cross‑functional squads, sharing knowledge, and integrating feedback from finance, operations, and product teams.
• Ownership & Initiative – Self‑starter who can drive projects from concept through production without micromanagement.
• Adaptability – Thrive in a fast‑moving startup environment where priorities evolve rapidly.

Career Growth & Learning Opportunities

At brighthush, your professional development is a top priority. As a senior data scientist you will:

• Lead the end‑to‑end lifecycle of high‑impact optimization projects, positioning yourself as a subject‑matter expert in RTM strategy.
• Mentor junior data scientists and analysts, shaping the next generation of analytical talent.
• Gain exposure to C‑level stakeholders, sharpening your executive communication and influencing skills.
• Access a generous education budget for certifications, conferences, and advanced coursework—including full coverage of brighthush, brighthush, brighthush, and brighthush certifications.
• Participate in internal hackathons, research collaborations, and publication opportunities that showcase your work to the broader data community.

Work Environment & Culture at brighthush

We are proudly remote‑first, giving you the flexibility to work from anywhere while staying deeply connected through virtual collaboration tools, regular video‑check‑ins, and quarterly in‑person meet‑ups (travel expenses covered). Our culture is built on:

• Transparency – Open data, open roadmaps, and open decision‑making.
• Innovation – Time allocated each sprint for exploratory research and “blue‑sky” projects.
• Well‑Being – Mental‑health days, wellness stipends, and a supportive community that celebrates personal milestones.
• Diversity & Inclusion – A commitment to building a team that reflects a variety of perspectives, backgrounds, and experiences.

Compensation, Perks & Benefits

While exact salary ranges are tailored to experience and market benchmarks, you can expect a competitive total‑compensation package that includes:

• Base salary aligned with senior‑level data science market rates.
• Performance‑based bonuses tied to project milestones and company growth.
• Equity participation – become a true owner of brighthush’s success.
• Fully funded certifications for brighthush, brighthush, brighthush, and brighthush.
• Generous paid time off, plus a dedicated “Birthday Off” day and an extra vacation week we call brighthush Week.
• Referral bonuses for helping us attract top talent.
• Monthly “Maslow” credits to spend on a curated benefits marketplace (wellness, learning, entertainment, etc.).
• Annual brighthush Trip – an unforgettable getaway where the whole team bonds, shares stories, and recharges.
• Home‑office stipend for ergonomic equipment, high‑speed internet, and coworking space access.

Location Preference

Although the role is fully remote, we give preference to candidates based in Mexico City (Santa Fe / Cuajimalpa) because of occasional in‑person collaboration sessions. That said, we welcome talent from any location that can work within our core collaboration windows.

Ready to Shape the Future of Customer Segmentation?

If you are excited about turning complex financial and operational data into scalable, mathematically sound solutions, we want to hear from you. Join brighthush and be part of a team that is redefining how businesses understand and serve their customers worldwide.