Data Scientist

VS Techsystems; Saint Peters (MO); Hybrid; USD 110,000 - 133,000; Full time

Benefits offered by this job

Flexible schedule

Paid time off

Job summary

VS Techsystems in Saint Peters, MO is seeking a Data Scientist for a hybrid role to build and deploy machine learning models, analyze large datasets, and translate insights into actionable business decisions. The ideal candidate has 3+ years of experience in predictive modeling, statistical analysis, and communicating results to technical and non-technical stakeholders.

Proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL is required, with cloud experience a plus.

Qualifications

• Bachelor’s or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
• 3+ years of professional experience as a Data Scientist or in a related role.
• Strong programming skills in Python 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.

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.

Skills

Python

R

SQL

Machine Learning

Exploratory Data Analysis

Data Visualization

NumPy

Pandas

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering

3+ years of Data Science experience

Tools

TensorFlow

PyTorch

Docker

Kubernetes

MLflow

Kubeflow

SageMaker

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