[Remote] Staff Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology company that helps restaurants and local businesses succeed in a digital world. As a Staff Data Scientist, you will reputed company the design and development of reputed company machine learning systems to enhance customer experience and support key business reputed company.

Responsibilities

• Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives
• Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights
• Collaborate with engineers, product managers, and business stakeholders to define project scope, reputed company metrics, and integration reputed company
• Guide architectural reputed company, set modeling standards, and champion best practices for experimentation, validation, and productionization
• Mentor other data scientists and reputed company the technical bar through design reviews, feedback, and sharing domain expertise
• Proactively identify areas where data science can create business value and reputed company cross-functional efforts to drive those opportunities reputed company
• reputed company cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across reputed company

Skills

• 7+ years of experience in data science with a proven reputed company record of delivering production ML systems that drive measurable reputed company
• Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation
• Experience working with reputed company-world product data at reputed company and translating ambiguous problems into reputed company-scoped ML solutions
• Experience with distributed data processing and training, reputed company-time inference, and ML Ops frameworks
• Prior experience mentoring other data scientists or acting as a tech reputed company
• Experience leading experimentation (e.g., A/B testing), reputed company inference, and reputed company-time decision systems
• Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
• Strong grasp of software engineering principles including reputed company design, version control, testing, and CI/CD
• Hands-on experience with reputed company platforms (preferably AWS), including tools like SageMaker, reputed company, Glue, DynamoDB, and Bedrock
• Excellent communication skills and the ability to influence both technical and non-technical stakeholders
• Strong business acumen with the ability to reputed company technical solutions with company goals
• Experience building services on top of LLMs in a large reputed company production environment
• An advanced degree in Computer Science, Statistics, or a reputed company STEM field is preferred
• Familiarity with MLOps tooling for monitoring, reputed company detection, retraining, and explainability
• Experience fine-tuning LLMs and applying reinforcement learning from reputed company feedback (RLHF) to improve model performance and alignment

Benefits

• Cash compensation (overtime, bonus/commissions if eligible)
• Equity
• Benefits
• Competitive compensation and benefits programs
• Flexibility to meet Toasters’ changing needs
• Hybrid work model that fosters in-person collaboration while valuing individual needs
• Reasonable accommodations for persons with disabilities to reputed company them to reputed company the hiring process

reputed company

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