Data Scientist, Topsort

Salary not provided

SQL

AWS

GCP

Python

NumPy

Pandas

Scikit-Learn

Mid and Senior level

Barcelona

Boston

San Francisco Bay Area

4 days a week in office

AI-first infrastructure platform

Open for applications

AI-first infrastructure platform

21-100 employees

B2BArtificial IntelligenceMarketingAnalyticsMachine LearningSaaSAdvertisingAPI

Open for applications

Salary not provided

SQL

AWS

GCP

Python

NumPy

Pandas

Scikit-Learn

Mid and Senior level

Barcelona

Boston

San Francisco Bay Area

4 days a week in office

21-100 employees

B2BArtificial IntelligenceMarketingAnalyticsMachine LearningSaaSAdvertisingAPI

Company mission

To democratize world-class auction and AI-based monetization technology that giants in Silicon Valley have been using as a profit engine into the wider ecosystem of eCommerce.

Job

Company

Role

Who you are

Ideal master or Ph.D. in Data Science, Statistics, Mathematics, or related field
3+ years of experience in data science, specifically in forecasting
Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-Learn)
Strong expertise in time-series forecasting, regression analysis, and machine learning
Experience with data visualization tools (Matplotlib, Seaborn)
Knowledge of SQL and experience with cloud data platforms (AWS, GCP)
Experience in ad tech or related industries; familiarity with financial modeling and budget optimization techniques
Nice to have: AI Forecasting experience

What the job involves

We’re looking for a sharp and experienced Data Scientist to join our growing team at Topsort!
As a Data Scientist, you’ll collaborate with product and engineering teams to analyze large datasets, identify trends, and refine algorithms that drive our platform forward
Develop and implement machine learning models for prediction of user behavior
Develop and implement budget forecasting models. Analyze large datasets to identify trends and optimize forecasting algorithms
Collaborate with product and engineering teams to deliver data-driven insights

Our take

With the likes of Meta, Amazon, and Google hosting the majority of ad campaigns, contemporary strategies can become overly complicated and lacking in owner control. Topsort has created a simple and customisable API through which users can create advertising elements like sponsored listings, banner and video ads, and control how they’re shown to potential customers.

Where the platform stands out is in its transparency and privacy-first approach - delivering a direct replacement of the “cookie” system usually used in sponsored ads. Topsort’s “clean room” is an encrypted technology that has zero-visibility into privacy data, ensuring anonymity for those being analysed.

This exciting new approach to media marketing analysis and campaign planning has turned investors' heads, at a time when data privacy is a hot topic. Topsort has enjoyed an impressive Series A of $20M, which will be used to scale and accelerate its growth.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

Glassdoor (3.5)

Company

Funding (2 rounds)

Mar 2024

$20m

SERIES A

Mar 2022

$8m

SEED

Total funding: $28m

Company HQ

SoMa, San Francisco, CA

Leadership

Regina Ye

(Co-Founder & CEO)

Previously a Product Lead at Hopin, and Founder at ZIRUI Inc.

Francisco Larrain

(Co-Founder & CTO)

Currently a Board Member at Maxxa. Previously worked in Local Engineering at Groupon, and was Founder and CEO of Zappedy.

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