Data Jobs in Saint Peters, MO

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Data Scientist

VS Techsystems Saint Peters, MO

Saint Peters, MO

Today

$110k - $133k/yr Full time Python Artificial Intelligence Big Data

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Job Description

VS Techsystems is seeking a Data Scientist to support predictive analytics and data-driven decision-making in a hybrid role based in Saint Peters, MO. This position focuses on building and deploying machine learning models, analyzing large datasets, and communicating insights to technical and non-technical stakeholders.

Location

Saint Peters, MO (Hybrid)

Hybrid remote work in the Saint Peters, MO 63303 area.

Role Summary

The Data Scientist role requires 3+ years of experience developing predictive models, performing statistical analysis, and delivering actionable business insights. Work includes machine learning, exploratory data analysis, programming, and experience in cloud-based environments.

Salary

USD 110,030 - 132,509 per year

Responsibilities

Collect, clean, and analyze structured and unstructured datasets.
Develop, validate, and deploy machine learning models for business use cases.
Conduct exploratory data analysis (EDA) and perform feature engineering.
Build predictive and classification models using statistical and machine learning techniques.
Collaborate with cross-functional teams, including Product, Engineering, and Business stakeholders.
Design and implement A/B testing frameworks and evaluate model performance.
Create dashboards and reports using visualization tools.
Optimize data pipelines and automate analytical workflows.
Present findings and recommendations to both technical and non-technical audiences.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
3+ years of professional experience as a Data Scientist or in a related role.
Strong programming skills in Python (NumPy, Pandas, Scikit-learn) and/or R.
Experience with SQL and relational databases.
Hands-on experience with machine learning algorithms including Regression, Classification, Clustering, Time Series Forecasting, and Recommendation Systems.
Knowledge of statistics, probability, and hypothesis testing.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with big data technologies such as Spark or Hadoop (preferred).
Experience using Git and CI/CD practices.
Deep learning framework experience with TensorFlow or PyTorch is a plus.

Preferred Skills

NLP, Computer Vision, or Generative AI experience.
Experience with Large Language Models (LLMs) and prompt engineering.
Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker.
Experience with Docker and Kubernetes.
Strong problem-solving and analytical skills.
Excellent communication and stakeholder management skills.

Nice to Have

Experience with Generative AI, Retrieval-Augmented Generation (RAG), vector databases, and LLM application development.
Relevant certifications in AWS, Azure, Databricks, or Google Cloud.
Experience in Agile/Scrum environments.

Technologies

Python, NumPy, Pandas, Scikit-learn, R, SQL
TensorFlow, PyTorch
AWS, Azure, Google Cloud Platform
Spark, Hadoop
Git

Benefits

Flexible schedule
Paid time off

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