Job#: 3022841
Job Description:
Role: Sr Data Scientist
Location: Hybrid - 4 days/week onsite
Duration: Long-Term Contract
Job Description:
This role is responsible for extracting insights, predicting outcomes, and uncovering meaningful trends from large and complex datasets. The position leverages advanced data science methodologies—including machine learning, predictive modeling, statistics, and mathematical analysis—to support data-driven decision-making across the business.
Key Responsibilities
Core Data Science & Modeling
- 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.
Data Engineering & Feature Development
- Design efficient data ingestion, transformation, and augmentation processes to improve model accuracy and reliability.
- Build robust feature engineering frameworks and high-performance data pipelines.
Advanced Research & Continuous Improvement
- 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.
Additional Responsibilities
- 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 DevOps partners to deploy models into production and monitor model drift.
Required Experience & Qualifications
Professional Experience
- 5+ years of experience in a data science role with a record of delivering impactful machine learning models.
Technical Skills
- Expert-level Python (Pandas, NumPy, Scikit-learn, SciPy) or R.
- Strong machine learning foundations, including gradient boosting (XGBoost, LightGBM), 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).
Required Skills
Education
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.
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 uses a virtual recruiter as part of the application process. Click here for more details.
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.
