Data Science Engineer

Job Title: Data Science Engineer Location: Chicago, IL-Remote/Hybrid About Us: At Predictive Sales AI (PSAI), we’re redefining how technology and intelligence transform digital marketing. Our AI-powered software enables home services businesses to make smarter, faster decisions—fueling growth through automation, prediction, and precision. We’re seeking a Data Science Engineer to build, scale, and operate the data and ML foundations behind predictive sales AI (lead scoring, pipeline risk, churn/renewal prediction, forecasting, and next-best-action recommendations). In this role, you’ll partner closely with Data Science, Product, and Operations to deliver trusted data products and production-ready model pipelines that drive measurable revenue impact. Job Overview: As a Data Science Engineer to build and run reliable, scalable data pipelines that bring together CRM, marketing, product, and external data into well-modeled warehouse/lakehouse datasets. You’ll ensure data is accurate and production-ready through strong quality checks, monitoring, SLAs, and continuous improvements, while optimizing performance and cost. You’ll also partner with engineering and analytics/ML teams to design instrumentation, integrate new sources, and deliver ML-ready datasets and feature pipelines, supported by solid documentation, CI/CD practices, and team mentorship. Key Responsibilities: • Build and operate scalable data pipelines (batch and, where needed, near-real-time) that ingest data from CRMs, marketing platforms, product events, and external sources. • Develop and optimize warehouse/lakehouse models to support predictive modeling and customer reporting (clean schemas, documented definitions, efficient querying). • Implement data quality and reliability standards: automated validation, anomaly detection, audits, and reconciliation; drive corrective action and prevention. • Own production readiness for pipelines: monitoring, alerting, SLAs, incident response, and postmortems with durable improvements. • Support ML workflows by producing ML-ready datasets and feature pipelines that are time-aware and leakage-resistant. • Integrate new data sources via APIs, connectors, and event streams; design secure and maintainable ingestion patterns. • Partner with engineering on product initiatives by advising on instrumentation, data architecture, and scalable integration approaches. • Improve performance and cost through query tuning, incremental processing, partitioning, and compute/storage optimization. • Contribute to automation and CI/CD for data workflows: version control, testing, deployment processes, and environment management. • Document systems and best practices (data contracts, runbooks, lineage, ownership) and mentor junior team members through reviews and pairing. Desired Traits: We are looking for an individual who is organized, proactive, and detail-oriented. In this role, you will work closely with teams across the company. Here’s what we’re looking for: • Ownership mindset with a reliability-first approach • Strong SQL/Python and a high attention to data quality • Scales systems thoughtfully (performance/cost aware, maintainable designs) • Collaborative communicator across engineering, RevOps, and analytics • Documents well and supports others through reviews/mentorship Required Skills and Experience: • Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a closely related quantitative field. • 3+ years of experience in data engineering (or equivalent experience delivering production-grade pipelines). • Strong proficiency in SQL and Python (or Scala). • Hands-on experience with cloud data services (Azure, AWS, or GCP) and modern data warehouses/lakehouses. • Experience with distributed processing tools such as Spark/Databricks (or similar). • Working knowledge of data modeling (dimensional modeling, normalization) and performance optimization. • Comfortable operating production systems (monitoring, alerting, incident response) and collaborating across teams. Why Join Us? • Innovative Environment: Be part of a forward-thinking company that values creativity and encourages the exploration of new ideas. • Professional Growth: Access opportunities for continuous learning and career advancement within a supportive and dynamic team. • Comprehensive Benefits: Enjoy a competitive salary, performance-based bonuses, flexible work arrangements, and a robust benefits package. • Collaborative Culture: Work in a team-oriented environment where collaboration and mutual respect drive our success. If you're ready to be part of an innovative, growth-oriented team, apply today!