Head of Predictions & Optimization

Posted 43 Minutes Ago
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New York, NY, USA
In-Office
250K-350K Annually
Senior level
Artificial Intelligence • Fintech • Financial Services
Build the AI operating system for the brands you see every day.
The Role
Lead Confido’s data science function for Revenue Growth Management, developing pricing, promotion, forecasting, causal inference, and optimization models. Translate predictions into actionable recommendations under budget, margin, and retailer constraints. Partner with AI/ML engineers on productionization, evaluation, backtesting, and monitoring. Hire and mentor a team of data scientists while setting technical direction with company leadership.
Summary Generated by Built In

Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations, unified in one system for the first time.

We're growing 5x year over year with a small team in New York City; the people who join now will shape the product, the culture, and the company itself.

If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.


THE ROLE

Tell brands what to charge, which promotions to run, and where. Back it with data almost no one else has.

Confido sees what's actually happening in the physical world of CPG: shipments, depletions, inventory, consumption, what's on the shelf, merchandising, deductions, the demographics of who lives near each store, and forward-looking promo plans. That means rich actuals and a real view of the future, across hundreds of brands. Most of this data isn't publicly available anywhere.

As Head of Prediction & Optimization, you'll build and lead Confido's data science function, starting with our newest product area: Revenue Growth Management (RGM). You'll own the models that turn a detailed picture of the business into decisions brands actually act on, and you'll grow the team to 3+ data scientists.

Location: New York, NY (Relocation supported)

WHAT YOU'LL DO
  • Lead pricing and trade optimization for RGM, including price elasticity, promo lift, cannibalization, and halo effects, so you can answer "how much should I charge for this?"

  • Build promotion recommendations that get specific. Should a promo run 4 weeks or 8? Should it be a deeper discount, a BOGO, or buy-3-get-1? Which regions, retailers, and accounts should get it?

  • Turn predictions into prescriptions by building optimization that works under real constraints like trade budgets, margin targets, and retailer calendars

  • Measure what actually worked, using post-event analysis, causal inference, and baselines that brands trust enough to change their plans

  • Partner with our AI/ML engineers to take models to production, and set the bar for backtesting, evaluation, and monitoring

  • Build the team: hire and mentor data scientists, and set the roadmap and technical direction alongside our CTO and AI research lead

WHAT WE'RE LOOKING FOR

Required

  • 7+ years of applied data science or predictive modeling, including experience leading projects or people

  • Deep expertise in statistical modeling and ML for pricing, demand, or forecasting, such as elasticity, causal inference, or uplift modeling

  • Experience building optimization or decision-support models, beyond predictions alone

  • Strong Python and SQL, plus rigor about validation: you know how to avoid leakage and when to distrust a good-looking result

  • The ability to turn a model into a clear recommendation a non-technical business user will act on

Nice to have

  • RGM, trade promotion, pricing, or revenue management experience in CPG, retail, or marketplaces

  • Experience with syndicated or retailer data (Nielsen, SPINS, Circana, retailer POS)

  • Taking models to production yourself. We're indexed on modeling, but end-to-end is a plus

  • Operations research or mathematical optimization (MIP, solvers)

  • Startup or 0-to-1 team-building experience

🌴 Perks + Benefits
  • Equity — own a meaningful piece of the company you’re helping build

  • Fully paid health coverage through Aetna — we cover 100% of employee premiums

  • Top-tier dental and vision coverage through Guardian

  • Carrot Fertility Pro — comprehensive fertility and family-forming support

  • 12 weeks of paid parental leave

  • Unlimited PTO — plus regular 4-day holiday weekends we actually take

  • 401(k) through Vestwell

  • Paid relocation support — we’ll help you make the move to NYC

  • Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup

  • Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Skills Required

  • 7+ years of applied data science or predictive modeling experience, including leading projects or people
  • Deep expertise in statistical modeling and machine learning for pricing, demand, or forecasting, including elasticity, causal inference, or uplift modeling
  • Experience building optimization or decision-support models beyond predictions
  • Strong Python and SQL skills
  • Strong validation practices, including avoiding data leakage and evaluating unreliable results
  • Ability to turn models into clear recommendations for non-technical business users
  • RGM, trade promotion, pricing, or revenue management experience in CPG, retail, or marketplaces
  • Experience with syndicated or retailer data such as Nielsen, SPINS, Circana, or retailer POS
  • Experience taking models to production end-to-end
  • Operations research or mathematical optimization experience, including MIP or solvers
  • Startup or zero-to-one team-building experience
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The Company
HQ: New York, NY
100 Employees
Year Founded: 2022

What We Do

CPG is a multi-trillion-dollar industry, but the path from factory to store shelf still runs on spreadsheets, emailed PDFs, and legacy systems held together with duct tape. Brands lose real time and money every day reconciling data, fighting retailer disputes, and coordinating across finance, sales, and supply chain. We're replacing that manual work with AI agents on a single intelligent platform — from cash application and deductions to demand forecasting, supply planning, and trade promotion management. It's working. We're the infrastructure behind 200+ brands, from OLIPOP to Simple Mills to Dr. Squatch, managing $40B+ in customer revenue, with 5x ARR growth. Backed by Insight Partners, Footwork, Y Combinator, and others.

Why Work With Us

You'll never wait for a performance review to get a raise or bonus you've earned. Ownership works the same way: trusted from day one to own things end to end. Need something to do your job better? You won't have to ask twice.

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Confido Offices

OnSite Workspace

We are on-site in Chelsea, New York.

Typical time on-site:
HQNew York Headquarters
Our company is in a trendy Chelsea neighborhood nearby plenty of restaurants, gyms, and bars.

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