Data Scientist

Job#: 2048352

Job Description:
Apex Systems is looking to hire a Data Scientist in Austin, Texas. If interested please send your resume to Jacqueline at
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 languageModel 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, Google Cloud Platform, 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.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.