Data Scientist (Solutions Engineering)

Paris, Île-de-France, France

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, SaaS, Data & AnalyticsIndustries

Requirements

Candidates should possess a strong technical foundation with fluency in systems and code, including the ability to write SQL and architect integrations. They should thrive on direct customer interaction, effectively translating complex technical concepts into clear business value. A bias toward action with an unwavering commitment to quality is essential, along with a desire for strategic influence at the intersection of data, product, and revenue.

Responsibilities

The Data Scientist will architect the semantic layer, transforming raw commerce data into actionable insights for AI agents. They will design proofs of concept to accelerate sales cycles, lead implementations to deliver value quickly, and unlock new use cases to inform the product roadmap. Responsibilities include driving $1M ARR per quarter by owning the technical close for deals, launching successful features monthly by collaborating with Product, building power user networks at top accounts, and partnering with Customer Success on deal nurturing and technical challenges.

Skills

semantic layer

data modeling

unified data model

Shopify data

advertising data

retention data

business logic

metrics

data integration

proofs of concept

end-to-end data implementations

AI agents

data pipeline

data foundations

Polar Analytics

Marketing analytics and data visualization platform

About Polar Analytics

Polar Analytics provides marketing analytics and data visualization solutions specifically designed for eCommerce brands. Their platform integrates various data sources, enabling clients to visualize key performance indicators (KPIs) and gain actionable insights. The platform automatically calculates important marketing metrics such as Customer Acquisition Cost (CAC), Return on Ad Spend (ROAS), and Lifetime Value (LTV), which helps eCommerce businesses streamline their data management and enhance marketing strategies. Unlike competitors, Polar Analytics offers a user-friendly dashboard that consolidates data from multiple sources, eliminating the need for manual data handling. The company's goal is to empower eCommerce brands to make informed decisions that drive growth and efficiency through a subscription-based model that includes customizable features and dedicated support.

Paris, FranceHeadquarters

2020Year Founded

$9.7MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Consumer SoftwareIndustries

11-50Employees

Benefits

Paid Vacation

Health Insurance

Home Office Stipend

Company Equity

Flexible Work Hours

Risks

Increased competition from established platforms like Tableau and Looker threatens market share.

Emerging EU privacy regulations could complicate data integration for Polar Analytics.

Economic downturns may reduce budgets for analytics tools among small to medium eCommerce businesses.

Differentiation

Polar Analytics offers a comprehensive platform integrating multiple data sources for eCommerce.

The platform automatically calculates essential marketing metrics like CAC, ROAS, and LTV.

Polar Analytics provides a single dashboard, eliminating manual data exports and consolidations.

Upsides

Increased demand for real-time analytics in eCommerce boosts Polar Analytics' market potential.

Growing trend of AI-driven analytics tools aligns with Polar Analytics' advanced solutions.

Shift towards personalized marketing strategies enhances the need for Polar Analytics' segmentation capabilities.

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