Apex Systems is looking to hire a Data Scientist in Austin, Texas. If interested please send your resume to Jacqueline at jglade@apexsystems.com
Position: Data Scientist
Location: Austin, Texas or Dallas, TX
Duration: Contract to hire
ESSENTIAL JOB FUNCTIONS / PRINCIPAL ACCOUNTABILITIES:
Other duties may be assigned. A teammate in this position must have the ability to:
- Lead, research, strategize, design, implement, document and communicate Data Science initiatives end-to-end, from incubation to deployment.
- Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals
- Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for standard methodologies
- Investigate the design and performance of models and fine tune as necessary
- Work closely with product and engineering managers to develop and deploy solutions with cross-functional support
- Educate our business and engineering partners across the organization on data science concepts (e.g., statistics, machine learning)
- Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
- Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
- Effectively communicating your insights and plans to cross-functional team members and management
MINIMUM SKILLS AND QUALIFICATION REQUIREMENTS:
- MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND 3+ years of experience as a data scientist in Logistics or Retail
- Or, 8+ years of experience as a data scientist in eCommerce or Logistics
- Hands-on experience in building ranking and recommendation models in production environments
- Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
- Expert knowledge in:
- Statistical and machine learning techniques
- Data Science libraries in a programming or scripting language Model deployment
- Machine learning workflows
- Proficient in:
- Python + related ML libraries and frameworks (Ex: PyTorch)
- Proficient in SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks).
- Excellent communication and presentation skills (to both technical and business audiences)
- Exceptional leadership and communication skills, with the ability to effectively collaborate with cross-functional teams, present findings to senior teams, and drive a data-driven culture within the organization.