Data Scientist - Intermediate - Hybrid

Precision Human Capital Inc; Canada; Hybrid; CAD 111,000 - 147,000; Full time

Job summary

A leading recruitment agency is seeking an intermediate Data Scientist for a full-time, permanent position. This role involves performing deep analytical dives, creating personalized segmentation strategies, and monitoring experiments aimed at optimizing user experience and revenue. Candidates should have a BA/BS in a quantitative field and strong SQL and Python skills. The position is hybrid and based in Houston, TX.

Qualifications

• 2+ years of relevant experience or 1+ years with a PhD.
• Ability to create plans for analytics projects.
• Understanding of statistical concepts and application.

Responsibilities

• Perform analytical deep-dives to identify hypotheses.
• Create segmentation strategies based on user attributes.
• Build automated reporting dashboards for key trends.

Skills

Statistical analysis

SQL proficiency

Communication skills

Python programming

Education

BA / BS degree in a quantitative field

PhD degree in a related field

Job description

Overview

Our client requires an intermediate level Data Scientist on a permanent / full time basis with ability to work Hybrid Monday to Friday in Houston, TX.

Responsibilities

• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and Senior Executives)

Qualifications

• BA / BS degree in a quantitative field (e.g., Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience.
• Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
• Understanding of statistical concepts and experience in applying them.
• Related understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization)
• Experience in data analyses using SQL.
• Experience in at least one programming language (preferably Python).
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to have

• Domain experience in product, marketing, growth, and/or other business analytics areas.

If this opportunity speaks to you then don't delay, apply today!