Data Scientist

We are seeking a Senior Data Scientist to lead the development of our predictive modeling ecosystem. You will be responsible for transforming ambiguous business challenges into concrete data science projects, building sophisticated models, and automating those models into production-grade data products. This is a “full-stack” data science role. You won’t just build models in a notebook; you will design, code, and deploy the entire lifecycle-from data ingestion and scoring to serving results on-demand. If you are an experienced data scientist who excels at identifying patterns in large datasets, loves automating workflows, and takes personal ownership of the business value your models deliver, we want to hear from you., Modeling & Strategic Analytics Predictive Architecture: Build high-accuracy predictive models for complex audience segmentation and strategic assessments. Utilize advanced statistical techniques (e.g., ensemble methods, decision trees, cluster analysis) to generate actionable insights. Problem Scoping: Partner with business leaders to translate high-level goals into technical project requirements. Own the roadmap from problem definition to final recommendation. Pattern Discovery: Leverage deep data mining to identify long-term trends, providing strategic recommendations that drive business decisions.

Engineering & Production Productization: Design and code end-to-end data products. Implement the full scope of data ingestion, model refreshing, and scoring services (both ad-hoc and on-demand). Automation: Collaborate directly with engineering teams to integrate models into production environments. Ensure high throughput and stability for all deployed solutions. Troubleshooting: Act as a technical expert for deep-dive analyses, model performance tuning, and ad-hoc data investigations.

Education: Advanced degree (Master’s or PhD) in Statistics, Computer Science, Data Science, or a related quantitative field. Experience Baseline: 5+ years of applied, hands-on experience in Data Science, specifically mining large-scale datasets. Technical Mastery: Expert-level proficiency in SQL and Python; strong applied experience in advanced statistics and machine learning. Ownership: Proven ability to deliver production-ready results in a fast-paced, high-throughput environment.

Preferred Attributes Strong interest in building “Data Products” (automation, APIs, scoring services) rather than just static reports. Exceptional communication skills-you can explain complex statistical outcomes to non-technical business partners without “dumbing it down.” A proactive, “Self-Starter” mindset-you don’t wait for clean data; you create the pipelines to get it.

For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.