Apex Systems

Job#: 2075098

Job Description:

REQUIRED QUALIFICATIONS

• Develop and maintain ML models and pipelines.
• Aggregate and visualize model results for internal and external audiences.
• Conduct data exploration and ad hoc analyses using SQL and Python.
• Perform feature engineering and build classification models (e.g., XGBoost), including training and validation.
• Present insights and results to technical teams and senior leadership.
• Design, monitor, and test production ML workflows on AWS in collaboration with the MLOps team.
• Implement unit and integration tests to ensure production reliability and accuracy.
• Contribute to best practices in model deployment, data quality, and cloud resource management.

PREFERRED QUALIFICATIONS

• Advanced proficiency in SQL and Python for data wrangling, feature creation, and analysis.
• Proven experience with ad hoc data analysis and communicating insights to non-technical stakeholders.
• Demonstrated expertise in building and validating machine learning models, especially in Python.
• Strong storytelling and data visualization skills.
• Experience in big data technologies (e.g., Hadoop, Spark, Hive).
• Deep understanding of data source integration and working with complex, raw datasets.
• Excellent communication and cross-functional collaboration skills.

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 employeeservices@apexsystems.com or 844-463-6178.

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.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide.

Pay Range:

$65 - $80 per hour