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Data Scientist

NYC Office · New York, United States

Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Product & Technology › ML/AI — team source
Department: Product & Technology › ML/AI
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require visa sponsorship to work legally in the United States (now or in the future)? This includes needing sponsorship for CPT, OPT or other visa types to work in the US.
From the employer’s application form
Apply at Confido

What you’ll work on

Full posting
  • Improve demand and sales forecasts across thousands of noisy retail time series

  • Measure promotion lift, price elasticity and cannibalization

  • Build statistical checks that keep models accurate as messy data flows in

  • Move exploratory analysis into production-grade models with the AI/ML team

From the employer’s posting
improving prediction quality across thousands of noisy, real-world retail time series
measuring lift, price elasticity, and cannibalization so brands know which promotions actually pay
building the statistical checks that keep our models honest as messy data flows in
move from exploratory analysis to production-grade insight

What you’ll bring

All qualifications

Core experience

  • 3-5+ years of hands-on data science experience with real-world data
  • Strong statistics: regression, time-series, experiment design, uncertainty quantification
  • Fluent in Python and SQL
  • Comfortable with modern data stack such as Snowflake and dbt
  • Can explain models to non-technical operators and defend them to ML engineers
Qualification wording
3-5+ years of hands-on data science experience with real-world (not benchmark) data
Strong statistical foundations: regression, time-series methods, experiment design, uncertainty quantification
Fluent in Python and SQL
comfortable working in a modern data stack (we use Snowflake and dbt)
You can explain a model to a non-technical brand operator and defend it to an ML engineer

Tools in this posting

  • Python
  • SQL
  • AWS
  • dbt
  • Snowflake
Source — Tool mentions in context
- Strong statistical foundations: regression, time-series methods, experiment design, uncertainty quantification - Fluent in Python and SQL; comfortable working in a modern data stack (we use Snowflake and dbt) - You care whether your analysis is right, not just whether it runs — you validate, sanity-check, and communicate uncertainty
- Familiarity with forecasting at scale (hierarchical forecasting, intermittent demand) Stack: Python · SQL · Snowflake · dbt · AWS 🌴 Perks + Benefits

Posting record

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Status in our records
Live
First seen by us
Aug 26, 2026 · 64 days ago
Recorded sightings
65
Last seen by us
Oct 29, 2026
Employer says posted
Aug 24, 2026

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  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees.

We're building the platform they run on, and a brand they'll be proud to be part of.

Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number.

We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.

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

THE ROLE

CPG brands live and die by their ability to predict what’s coming — how much product will sell, where demand will land, and what a promotion will actually do to the business. At Confido, you’ll build models that help brands forecast sales, price products, and shape promotional strategy. You’ll work with an unusually broad dataset spanning sell-through, inventory, deductions, trade promotions, and supply-chain signals from 200+ brands — much of it messy, real-world data that makes the problems genuinely interesting. The models you build will directly influence decisions behind the products you see on store shelves every day.

As a Data Scientist, you'll turn that data into models and analyses that ship inside the product — not slide decks. You'll work alongside our AI/ML engineering team to move from exploratory analysis to production-grade insight.

What you'll work on

  • Demand and sales forecasting — improving prediction quality across thousands of noisy, real-world retail time series

  • Promotion effectiveness — measuring lift, price elasticity, and cannibalization so brands know which promotions actually pay

  • Data quality and evaluation — building the statistical checks that keep our models honest as messy data flows in

About you

  • 3-5+ years of hands-on data science experience with real-world (not benchmark) data

  • Strong statistical foundations: regression, time-series methods, experiment design, uncertainty quantification

  • Fluent in Python and SQL; comfortable working in a modern data stack (we use Snowflake and dbt)

  • You care whether your analysis is right, not just whether it runs — you validate, sanity-check, and communicate uncertainty

  • You can explain a model to a non-technical brand operator and defend it to an ML engineer

Bonus

  • Experience with retail, CPG, supply chain, or demand-planning data

  • Experience shipping models into production systems (vs. offline analysis only)

  • Familiarity with forecasting at scale (hierarchical forecasting, intermittent demand)

Stack: Python · SQL · Snowflake · dbt · AWS

🌴 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.

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New York, United States

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