Join this growing company as a Data Scientist, where you’ll find abundant professional growth opportunities and a culture that values excellence, passion, integrity, and caring. In this role, you’ll leverage your AI, machine learning, advanced analytics, statistical analysis, and programming expertise to develop data-driven solutions supporting our corporate initiatives. You’ll work with large, diverse data sets and employ advanced techniques to build predictive models that drive business results. Collaboration with business partners is essential to define technical problems, develop accurate models, and integrate them into data products or tools. Apply now!
Work model:
- Hybrid
What you will do:
- Apply company data within a COE model to inform business decisions
- Offer expertise in advanced analytics, including data aggregation, statistical and predictive modeling, and machine learning
- Oversee and evaluate complex data projects to improve business decisions and efficiency
- Create scalable, interpretable models for analytic data products
- Partner with business associates to achieve objectives using innovative data techniques and tools
- Convey analytics approaches and objectives effectively to stakeholders
- Establish long-term processes, frameworks, tools, and standards
- Maintain compliance with data management and governance policies
- Collaborate with various stakeholders to deliver data-driven insights for business improvement
What you will need to be successful:
- Expertise in advanced SQL, feature engineering, data analysis, and building/deploying production models
- Proficiency with statistical languages (Python/R) and machine learning techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees)
- Capability to merge and transform disparate data sets
- Knowledge of Big Data technologies (Hadoop, Spark, H20.ai, Cloud AI platforms)
- Experience with data visualization tools (Tableau, Power BI, MicroStrategy)
Benefits overview:
- Dental, vision, and health insurance
- 401k
- PTO
Interested and qualified candidates can contact Kian Torkzadeh at (515) 225-7000 or ktorkzadeg@thepalmergroup.com.
