Sr Data Scientist

Job Details

Job #: 3022841

Job Description:

Sr Data Scientist

Location:

Hybrid - 4 days/week onsite
Duration:
Long-Term Contract

• Analyze business problems and determine appropriate data science approaches to meet analytic needs.
• Design, build, and validate machine learning models and analytical solutions, including hypotheses, algorithms, and experiments.
• Apply advanced analytical techniques such as predictive modeling, prescriptive modeling, clustering, and statistical analysis to uncover patterns and insights.
• Develop and optimize scalable, automated data science workflows and machine learning pipelines.
• Design efficient data ingestion, transformation, and augmentation processes to improve model accuracy and reliability.
• Build robust feature engineering frameworks and high‑performance data pipelines.
• Stay current on new methodologies, tools, and frameworks in data science and machine learning.
• Identify opportunities to enhance analytical efficiency, model robustness, and overall accuracy.
• Develop and deploy supervised, unsupervised, and reinforcement learning models for use cases such as recommendation systems, churn prediction, and demand forecasting.
• Lead experimental design efforts, including A/B and multivariate testing, and interpret results to guide product and business decisions.
• Optimize model performance and algorithm efficiency through systematic refinement and experimentation.
• Communicate complex technical findings to non-technical stakeholders, influencing data-driven strategy and ROI.
• Provide mentorship and technical leadership to junior team members.
• Collaborate with ML Engineering and Dev Ops partners to deploy models into production and monitor model drift.

5+ years of experience in a data science role with a record of delivering impactful machine learning models.

• Expert-level Python (Pandas, Num Py, Scikit‑learn, Sci Py) or R.
• Strong machine learning foundations, including gradient boosting (XGBoost, Light
  
  GBM), random forests, GLMs, clustering, etc.
• Advanced SQL for working with large, complex, distributed datasets.
• Solid grounding in mathematics and statistics, including linear algebra, calculus, and statistical inference.
• Experience following software best practices—clean, modular code; version control (Git).

• Algorithms
• Python
• GCP

Master’s Degree required

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 Clearly Rated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.