Data Scientist

MissionStaff specializes in delivering top-tier talent in Technology, Creative, and Marketing, as well as the Business Services that support these teams. Serving companies ranging from mid-sized enterprises to the Fortune 500, we build lasting relationships with talent and clients to power career opportunities and business. We are currently filling the following contract role with our client.
• Please note that we do not accept unsolicited resumes from third-party recruiters or agencies. Additionally, candidates must be U.S. citizens or Permanent Residents to be considered for this position.

In this role, you will lead the design and implementation of advanced Machine Learning (ML) and Artificial Intelligence (AI) solutions for next-generation Supply Chain and Logistics products, elevating enterprise-wide predictive analytics capabilities. With a strong background in data science, ML, programming, and distributed computing (e.g., PySpark), you will drive impactful data-driven strategies while mentoring junior data scientists and managing complex, large-scale projects.

Responsibilities:
• Collaborate with stakeholders to define and solve business challenges, performing ROI analysis to validate project feasibility.
• Source, clean, and prepare data from diverse sources, implementing automated ETL processes and visualizing insights for decision-making.
• Identify, develop, test, and fine-tune ML models, embedding them into applications for enterprise use.
• Ensure data quality by addressing issues such as outliers and incomplete records.
• Lead team discussions on best practices, guiding the professional growth of junior team members and fostering a culture of innovation.

Qualifications
• 6+ years of experience with a master’s degree in a quantitative field (Engineering, Operations Research, Statistics, Applied Math, Computer Science); 4+ years with a PhD preferred.
• Minimum 4 years designing and deploying ML applications with structured and unstructured data.
• Strong proficiency in Python or similar high-level languages and expertise in distributed computing frameworks, particularly PySpark.
• Proven application of advanced Machine Learning and Deep Learning in business settings, with experience translating insights into recommendations for non-technical stakeholders.
• Familiarity with MLOps, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes) is advantageous.

MissionStaff is committed to fostering, cultivating, and preserving a culture of diversity, equity and inclusion. MissionStaff provides equal opportunities for all employees and job applicants, regardless of any legally protected factors. We have adopted and will continue to follow lawful policies and practices in all aspects of employment, including recruiting, hiring, evaluation, promotion, training, discipline, compensation, and termination. At MissionStaff, we’re not just innovators in staffing; we’re champions of diversity, equity, and inclusion. We celebrate diversity because it helps make our employees and the clients we serve stronger and more successful.