Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist IV. In this principal-level role, you will be a pivotal resource contributing to the data science team by leveraging your extensive expertise in building and deploying machine learning models. Your efforts will not only enhance team capabilities but will also drive impactful data science solutions that address complex business challenges. With an emphasis on collaboration, you will engage with cross-functional teams to identify requirements and present meaningful analyses, ultimately influencing strategic decisions. This role is crucial to advancing our partner's data initiatives and fostering a culture of continuous improvement. \n Accountabilities Serve as a strategic addition to the data science team, contributing advanced technical expertise to complement existing skills. Conceptualize, develop, and deploy production-grade ML models and AI applications, consistently delivering projects within 8–12 week timeframes. Apply sophisticated data science techniques, including unsupervised learning, clustering, and anomaly detection, to address business needs. Implement and maintain MLOps practices to streamline and manage the full model lifecycle for scalable, production-ready solutions. Develop and deploy models as APIs using frameworks such as FastAPI or Docker for efficient integration into production systems. Collaborate with cross-functional teams to identify business needs and translate them into impactful data science solutions. Use strong SQL and Python skills for data preparation, analysis, and model deployment. Present complex analyses and results to both technical and non-technical audiences, ensuring clarity and actionable insights. Requirements Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field required; a master’s or Ph.D. is preferred. 7+ years of professional, full-time data science experience with a proven track record of developing and deploying production-grade ML models. Advanced proficiency in Python and SQL, with significant hands-on experience building highly performant code. Deep expertise in MLOps and experience managing production model workflows. Strong experience developing and deploying ML models as APIs using tools such as FastAPI, Docker, or similar frameworks. Proven application of advanced data science techniques, including NLP and topic modeling. Exceptional communication skills for explaining complex data insights to diverse audiences. Benefits Generous Medical, Dental, and Vision Benefits 401(k) with Company Match Paid Holidays, Volunteer Time Off, Sick Days, and Vacation 12 weeks Paid Parental Leave Pre-tax Transit Benefits No-Cost Life Insurance Benefits Voluntary Benefits Options ASPCA Pet Health Insurance Discount Access to your earned wages at any time before payday \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1