Predictive Sales AI a Spectrum Communications & Consulting LLC Brand · 4 hours ago
Data Science Engineer
Chicago, IL
Full-time
Hybrid
Mid Level
3+ years expPredictive Sales AI is redefining how technology and intelligence transform digital marketing. They are seeking a Data Science Engineer to build, scale, and operate the data and ML foundations behind predictive sales AI, partnering with various teams to deliver trusted data products and production-ready model pipelines.
ConsultingInternetInternet of ThingsTelecommunications
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
Qualification
Required
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
Benefits
Performance-based bonuses
Flexible work arrangements
Robust benefits package
Company
Predictive Sales AI a Spectrum Communications & Consulting LLC Brand
With proven success across many industries over 30 years, we have accumulated the blueprint to scaling your home services business.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Ty King
President & CEO
Company data provided by crunchbase