Summary
The company is a rapidly growing analytics and technology consulting organization that helps enterprise clients solve complex business challenges through data. The Data Scientist will develop predictive models and machine learning solutions, perform forecasting and customer analytics, and collaborate with stakeholders on optimization, experimentation, visualization, reporting, and model deployment initiatives.
Responsibilities
- 40% Python & Machine Learning
- 30% SQL & Data Engineering Collaboration
- 20% Visualization & Reporting
- 10% MLOps & Model Deployment
- 80% Hands On
- 5% Management Duties
- 15% Team Collaboration
Skills
- 2+ years of professional Data Science or Advanced Analytics experience
- Strong Python development skills
- Advanced SQL experience
- Experience building predictive models and machine learning solutions
- Experience with forecasting, regression, classification, or segmentation
- Databricks experience
- Tableau and/or Power BI experience
- Git or GitLab experience
- Strong communication and stakeholder management skills
- Bachelor's degree in a quantitative discipline or equivalent experience
- Applicants must be currently authorized to work in the US on a full-time basis now and in the future
- Optimization modeling experience
- A/B testing and experimentation design
- MLflow or MLOps exposure
- SAS or R experience
- Data governance and data quality expertise
- Experience within consulting environments
Qualifications
Must Haves
- 2+ years of professional Data Science or Advanced Analytics experience
- Strong Python development skills
- Advanced SQL experience
- Experience building predictive models and machine learning solutions
- Experience with forecasting, regression, classification, or segmentation
- Databricks experience
- Tableau and/or Power BI experience
- Git or GitLab experience
- Strong communication and stakeholder management skills
- Bachelor's degree in a quantitative discipline or equivalent experience
- Applicants must be currently authorized to work in the US on a full-time basis now and in the future
Nice to Haves
- Optimization modeling experience
- A/B testing and experimentation design
- MLflow or MLOps exposure
- SAS or R experience
- Data governance and data quality expertise
- Experience within consulting environments
Benefits
- Fully remote work arrangement
- Medical, Dental, and Vision Insurance
- Career Development Opportunities