Job Url: https://www.remoterocketship.com/company/planhub/jobs/senior-data-scientist-united-states-remote Job Description: PlanHub Website LinkedIn All Job Openings PlanHub is a leading preconstruction platform designed for the construction industry, connecting general contractors, subcontractors, and suppliers. It provides a suite of tools for project management, bid management, takeoff and estimation, and relationship management, enabling construction professionals to streamline their operations and win more bids. With a growing network of over 500,000 professionals, PlanHub simplifies the bidding process and facilitates better connections and opportunities. Software as a Service • Construction • Marketing • Technology • Software 51 - 200 employees Founded 2008 ☁️ SaaS 🏪 Marketplace 💰 Private Equity Round on 2020-10 Senior Data Scientist Yesterday 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • 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 Power BI 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. 🎯 Requirements • 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. 🏖️ Benefits • Flexible time-off policy. • An excellent benefit package, including medical, dental, vision, and life insurance. • 401(k) plan with company match.