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