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Job Title: Technology Lead | data science | Machine Learning - Data Scientist Work Location & Reporting Address: St Louis, MO 63131 (Onsite) Contract duration: 12 MAX VENDOR RATE: ***-*** per hour max Target Start Date: 13 Mar 2026 Does this position require Visa independent candidates only? Yes
Must Have Skills: • Python • ML Ops • Generative AI • LLMs • Prompt Engineering • NLP
Nice to Have Skills: • AWS • ETL
Detailed Job Description:
Minimum Qualifications- Education & Prior Job Experience: • Lead the full ML development lifecycle: problem framing, hypothesis formulation, feature engineering, model development, validation, deployment, and monitoring. • Develop, test, and optimize machine learning models including: o Supervised & unsupervised learning o Statistical modeling and forecasting o Natural Language Processing (NLP) o Generative AI techniques for automation and insight extraction o Graph/network analytics for analyzing network behaviors and relationships • Build advanced anomaly detection, predictive maintenance, and risk scoring models for network security and operational efficiency. • Conduct large-scale exploratory data analysis (EDA) to identify trends, data quality issues, and opportunities for automation. • Define and implement model evaluation and A/B testing strategies. • Collaborate with ML engineering teams to operationalize models using MLOps best practices. • Communicate complex analytical findings through clear narratives, visualizations, and presentations tailored to technical and non-technical audiences.
Data Engineering & ETL • Design, develop, and maintain scalable, fault-tolerant ETL pipelines using Spark to support analytics and machine learning workloads. • Implement monitoring, alerting, and automated recovery mechanisms to ensure data pipeline reliability. • Build robust feature pipelines that enable real-time and batch ML processing. • Integrate data from a wide range of sources: o APIs o Flat files o Relational databases o Distributed file systems (HDFS/S3) • Support continuous integration and continuous delivery (CI/CD) workflows for data and ML components.
Collaboration & Leadership • Partner with engineering, operations, security, and business teams to embed machine learning solutions into production systems. • Provide mentorship to junior data scientists and analysts. • Evangelize data science best practices across the organization and contribute to the development of internal frameworks, tools, and standards. • Help educate teams on analytic techniques, statistical reasoning, and responsible AI practices.
Required Qualifications • Strong communication, presentation skills, and ability to translate analytics into business value. • Expertise in programming languages commonly used in data science: o Python (primary) o Scala or Java (preferred for ETL/engineering) • Proven experience with Spark and large-scale distributed data processing. • Deep understanding of: o Statistical modeling o Hypothesis testing o Experimental design o Causality and multicollinearity • Strong SQL skills and experience with relational and NoSQL databases. • Expertise across a wide range of ML methodologies: o Regression, classification, clustering o Time-series forecasting o Bayesian methods o NLP and text analytics o Graph analytics • Experience with data preprocessing, feature engineering, and EDA. • Familiarity with data architectures such as data lakes, warehouses, and marts. • Demonstrated ability to continuously learn, adapt, and share knowledge.
Preferred Qualifications • Experience with AWS services (S3, EMR, Lambda, Glue, SageMaker). • Prior exposure to Generative AI, LLMs, prompt engineering, or building AI-driven automation systems. • Experience with Linux-based systems. • Background in text mining, document classification, or large-scale unstructured data processing. • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, Operations Research, or a related field. • Master's degree with 6+ years or Bachelor's degree with 8+ years of relevant work experience.
Minimum Years of Experience: • 8+ years
Certifications Needed: • None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?) • FACE TO FACE INTERVIEW IS MANDATORY
Any additional information you would like to share about the project specs/nature of work:
Sprachkenntnisse
- English
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