Senior Data Scientist

PlanHub, Inc.; Canada; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading SaaS platform provider is seeking a Senior Data Scientist to lead data analysis and model development. You will collaborate with various teams to extract insights from complex data and enhance business strategies, making significant contributions to the company’s growth. Ideal candidates will have strong analytical and communication skills and experience with machine learning in a data-rich environment.

Benefits

Flexible time-off policy

Medical, dental, vision, and life insurance

Empowerment and growth opportunities

Qualifications

• Proven ability to develop machine learning models like regression, classification, clustering.
• Excellent understanding of experimental design and hypothesis testing.
• Ability to translate business questions into data analyses.

Responsibilities

• Analyze customer behavior and operational data to uncover insights.
• Design and implement predictive models for strategic planning.
• Collaborate with cross-functional teams to deliver data-informed insights.

Skills

SQL

Python

Quicksight

statistical methods

data visualization

communication skills

Agile workflows

Education

7+ years in data science or analytics

Tools

Amazon Redshift

Snowflake

PowerBI

Tableau

Git

Job description

PlanHub is the leading pre-construction SaaS platform and marketplace helping general contractors, subcontractors, and suppliers connect and grow their businesses. Built with tradespeople in mind, PlanHub is designed around the user workflow to help boost productivity, maintain deadlines, increase revenue, and create relationships. Easily post projects or submit bids with anytime-anywhere collaboration for every commercial construction trade.

We are seeking an experienced Senior Data Scientist to lead the development of data-driven insights and analytics that guide strategic decisions across our SaaS business. This role will focus on delivering high-impact analysis, building predictive models, and informing the development and evaluation of AI/ML solutions. The ideal candidate combines strong statistical and analytical skills with a deep understanding of business operations and a passion for uncovering actionable insights. You’ll collaborate closely with business stakeholders, analysts, AI engineers, and data engineering teams to drive a data-informed culture.

What you’ll be doing

• Analyze customer behavior, product usage, financial, and operational data to uncover trends, risks, and opportunities across the business
• Design and implement predictive models, segmentation, churn analysis, forecasting, and other machine learning approaches to support strategic planning and operational efficiency
• Develop insightful dashboards and reports in Quicksight that deliver ongoing visibility into key performance metrics for leadership and teams
• Support the AI engineering team by analyzing and preparing training data, evaluating model performance, and identifying relevant features and target variables
• Work with unstructured and structured data sources to generate insights that inform AI model training, RAG pipelines, and agent task performance
• Collaborate with cross-functional teams (Product, Sales, Marketing, Customer Success) to translate business questions into data analyses and models
• Communicate complex findings clearly to technical and non-technical stakeholders through visualizations, presentations, and written reports
• Partner with the data engineering team to ensure clean, reliable, and timely data pipelines for analysis and reporting
• Lead experimentation and A/B testing to evaluate business changes and feature releases
• Establish and enforce best practices in data quality, analytics governance, data security, and model transparency

What you’ll need on day one

• 7+ years of experience in data science or analytics roles, preferably within a SaaS or data-rich environment
• Strong skills in SQL, Python, and Quicksight (or equivalent BI tools like PowerBI, Tableau, or Looker)
• Proven ability to develop and evaluate machine learning models (e.g., regression, classification, clustering, time-series forecasting) for business use
• Experience working with cloud-based data warehouses (e.g., Amazon Redshift, Snowflake, BigQuery) and data lakes
• Excellent understanding of experimental design, hypothesis testing, and statistical methods for inference and optimization
• Ability to distill large volumes of data into clear, actionable insights with business impact
• Experience contributing to AI/ML projects, including model evaluation metrics, training data preparation, and feature selection
• Strong communication skills with the ability to work across functions and influence decision-making
• Familiarity with Agile workflows, Jira, Confluence, and Git-based collaboration
• A proactive, self-driven mindset and comfort with ambiguity in a fast-paced environment

What will make you stand out

• Experience supporting RAG-based or LLM-based AI pipelines by analyzing embeddings, content performance, and data coverage
• Familiarity with SageMaker, Bedrock, or other ML platforms for model evaluation and experimentation
• Experience working with semi-structured/unstructured data, such as PDFs, text, or images, to support NLP/CV use cases
• Exposure to Responsible AI or model monitoring practices
• Background in SaaS metrics such as ARR, CAC, CLTV, and churn analysis
• Familiarity with customer segmentation and cohort analysis
• Experience using dbt or data transformation pipelines to prepare analytic datasets

What's in it for you:

The opportunity to join a dynamic team that landed into the top list of Inc. 5000 in 2024 You can make an immediate impact as PlanHub moves to dominate the industry!

PlanHub offers:

• An awesome culture where you will be empowered, make an impact, and learn a ton.
• Flexible time-off policy.
• An excellent benefit package, including medical, dental, vision, and life insurance.