AI-First Data Analyst (Technical & Causal)

Canada

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Data Science, AI & Machine LearningIndustries

Requirements

Candidates should have 1–3 years of experience in data science, quantitative analysis, or machine learning, and a Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field. Expertise in causal inference frameworks, especially Double ML, A/B testing, and other counterfactual methods is required, along with strong coding skills in Python or R and proficiency with SQL, Jupyter, and version control (Git).

Responsibilities

The AI-First Data Analyst will conduct causal analysis and treatment effect estimation using Double ML, causal forests, and uplift modeling to guide high-stakes decisions, build AI-powered internal tools that automate analytical tasks and surface insights, develop and own dashboards and data pipelines that drive real-time visibility across sales, marketing, operations, and finance, partner directly with business leaders to translate fuzzy questions into testable hypotheses and deliver answers that inform action, identify opportunities to automate recurring analyses via custom GPTs, scripts, or workflow platforms, and work closely with engineering and data platform teams to improve data cleanliness, accessibility, and documentation.

Skills

Statistical analysis

Causal inference

Machine learning

Double ML

Causal forests

Uplift modeling

Data pipeline development

Dashboard creation

Data automation

GPT-powered tools

Anomaly detection

Data accessibility and documentation

CSC Generation

Acquires and revitalizes struggling retail brands

About CSC Generation

CSC Generation specializes in acquiring and revitalizing struggling retail brands to make them profitable. The company identifies underperforming brands with potential and integrates them into its operating platform, which includes technology, skilled personnel, and efficient processes. This approach has allowed CSC Generation to successfully transform several well-known brands, such as DirectBuy and Sur La Table, into profitable ventures. The company generates revenue through the sales of products from its portfolio, which features over 325,000 items and attracts around 10 million monthly page views. Unlike many competitors, CSC Generation focuses on "unsexy" opportunities—brands that others might overlook but have significant turnaround potential. The goal of CSC Generation is to drive growth and profitability for the brands it acquires, ultimately enhancing the customer experience and increasing sales.

Merrillville, IndianaHeadquarters

2016Year Founded

$107.6MTotal Funding

SERIES_ECompany Stage

Consumer Software, Consumer GoodsIndustries

51-200Employees

Risks

Increased competition may lead to higher acquisition costs for CSC Generation.

Operational challenges in integrating new brands like Backcountry could affect performance.

Economic downturns could reduce consumer spending, impacting CSC's profitability.

Differentiation

CSC Generation specializes in acquiring and revitalizing struggling retail brands.

The company integrates brands into its platform to drive growth and profitability.

CSC Generation identifies 'unsexy' opportunities with significant potential for turnaround.

Upsides

CSC Generation's acquisition of Backcountry expands its consumer-centric brand portfolio.

The rise of AI-driven personalization can enhance CSC's customer engagement and conversion rates.

Direct-to-consumer models offer CSC increased profitability by cutting out intermediaries.

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