Technology Lead | Data Science | Machine Learning

Description: POC: Sam Chavez

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Job Title: Technology Lead | data science | Machine Learning – Data ScientistWork Location & Reporting Address: St Louis, MO 63131 (Onsite)Contract duration: 12MAX VENDOR RATE: - per hour maxTarget Start Date: 13 Mar 2026Does this position require Visa independent candidates only? Yes

Must Have Skills:PythonML OpsGenerative AILLMsPrompt EngineeringNLP

Nice to Have Skills:AWSETL

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 learningo Statistical modeling and forecastingo Natural Language Processing (NLP)o Generative AI techniques for automation and insight extractiono Graph/network analytics for analyzing network behaviors and relationshipsBuild 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 & ETLDesign, 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 APIso Flat fileso Relational databaseso Distributed file systems (HDFS/S3)Support continuous integration and continuous delivery (CI/CD) workflows for data and ML components.

Collaboration & LeadershipPartner 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 QualificationsStrong 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 modelingo Hypothesis testingo Experimental designo Causality and multicollinearityStrong SQL skills and experience with relational and NoSQL databases.Expertise across a wide range of ML methodologies:o Regression, classification, clusteringo Time-series forecastingo Bayesian methodso NLP and text analyticso Graph analyticsExperience 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 QualificationsExperience 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

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