Summary
Georgia IT, Inc. is a company that specializes in providing IT solutions, and they are seeking a Data Scientist to perform advanced data analysis and statistical modeling. The role involves collaborating with various stakeholders, implementing best practices in data science, and integrating Generative AI capabilities into workflows.
Responsibilities
- Perform advanced data analysis, visualization, and statistical modeling
- Apply Bayesian experimental design techniques
- Develop optimization and simulation solutions including:
- Constrained optimization
- Machine learning
- Monte Carlo simulations
- Solve manufacturing challenges such as:
- Schedule optimization
- Batch generation
- Partner with stakeholders across:
- Data acquisition
- Modeling
- Validation
- Deployment
- Monitoring
- Collaborate with:
- Data scientists
- Engineers
- Statisticians
- Manufacturing teams
- Implement best practices for:
- Scalability
- Reproducibility
- Software engineering
- Present analytical insights to technical and non-technical audiences
- Integrate Generative AI capabilities into workflows and experimentation
- Build and tune supervised and unsupervised ML models for anomaly detection
- Monitor real-time data streams and system logs
- Analyze complex datasets to identify root causes of anomalies
- Optimize alert systems to minimize false positives
- Develop automated pipelines for:
- Data quality
- Security
- Detection systems
- Work closely with product management, IT, and data engineering teams
- Apply:
- Statistical analysis
- Data mining
- Feature engineering techniques
Skills
- PhD in a quantitative STEM field with 0–2 years' experience, OR
- Master's degree with 5–8 years relevant experience
- Experience delivering data science projects on scientific/engineering datasets
- Strong communication and collaboration skills
- Expertise in: Python, Pandas, Jupyter, scikit-learn, Machine learning libraries
- Familiarity with: AWS, Docker, Git, PostgreSQL
- Experience handling large and unstructured datasets
- Ability to manage multiple projects in dynamic environments
- English proficiency required
- Optimization and bioinformatics experience preferred
Qualifications
Must Haves
- PhD in a quantitative STEM field with 0–2 years' experience, OR
- Master's degree with 5–8 years relevant experience
- Experience delivering data science projects on scientific/engineering datasets
- Strong communication and collaboration skills
- Expertise in: Python, Pandas, Jupyter, scikit-learn, Machine learning libraries
- Familiarity with: AWS, Docker, Git, PostgreSQL
- Experience handling large and unstructured datasets
- Ability to manage multiple projects in dynamic environments
- English proficiency required
Nice to Haves
- Optimization and bioinformatics experience preferred