Senior Data Scientist (Machine Learning & Generative AI)

Job Description

Job Summary:

As a Senior Data Scientist you will leverage your expertise in machine learning model development generative AI and software engineering to rapidly prototype and deploy advanced analytics products for our manufacturing division. You will collaborate with cross-functional teams including IT engineering and operations to design and implement robust advanced analytics solutions at scale within production systems. You will also engage in ad-hoc consulting roles to support various projects across the organization. Our data science team contributes to different project phases from ideation and business case development through data discovery and preparation to model development prototyping and facilitating adoption.

Primary Job Responsibilities:

• Independently design and develop innovative quantitative methodologies leveraging different methods and approaches in machine learning deep learning and generative AI to drive data-driven decision-making and influence key initiatives within the company.

• Apply data science machine learning and deep learning techniques to create tools for process monitoring process optimization and predictive analytics.

• Develop end-to-end digital solutions including automation of data workflows and integration into existing systems.

• Engage with customers and stakeholders to understand their needs requirements expectations and potential opportunities ensuring alignment with business objectives.

• Build and disseminate in-depth domain knowledge of emerging trends in one or more sub-specialty areas of data analytics fostering collaboration with cross-functional stakeholders.

• Design lead and document the development of analytics applications platforms and processes to unlock value through scientific insights.

• Stay updated on current best practices methodologies and technologies in AI machine learning and data science landscape including compliance and ethical considerations.

Required Skills:

• Extensive knowledge of both traditional supervised and unsupervised machine learning algorithms as well as familiarity with advanced deep learning architectures.

• Proven hands-on experience with Python including practical skills with libraries such as scikit-learn Keras TensorFlow or PyTorch.

• Familiarity with feature engineering and exploratory data analysis for both structured and unstructured data sets.

• Knowledge of experiment tracking methodologies and tools to monitor model performance and maintain reproducibility.

• Exceptional communication skills to effectively convey complex information to both technical and non-technical stakeholders.

• A strong software engineering mindset emphasizing the importance of producing high-quality code documentation and pipelines.

• A data-centric mindset focusing on how data can be leveraged to create actionable insights and drive business value.

• Experience working within Agile frameworks and methodologies.

Preferred Qualifications:

• Understanding of generative AI including large language models and vision language models RAG pre-training and/or fine-tuning for specific applications.

• Experience with agents agentic AI platforms (CrewAI LangGraph LangChain AutoGen Semantic Kernel Bedrock Strands etc) agent tooling and protocols (MCP A2A) and/or AI coding tools (Claude Code Cursor Codex Open Claw)

• Familiarity with graph networks semantic layers and causal inference.

• Familiarity with deep learning applications or inference computer vision autoencoders etc.

• Familiarity with modern MLOps tools and best practices for lifecycle management including CI/CD pipelines containerization technologies such as Docker and deploying machine learning models in cloud environments such as AWS Databricks or similar platforms.

Education:

• Bachelors degree required

• Preferred Ph.D. in chemical engineering applied mathematics or other technical fields with expertise in data science and machine learning projects or masters degree in data science computer science applied statistics/mathematics chemical engineering or a related field with 2 years of relevant experience in data science and machine learning projects.

Required Skills:

Preferred Skills:

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The salary range for this role is

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including but not limited to relevant education qualifications certifications experience skills geographic location government requirements and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive if applicable.

We offer a comprehensive package of benefits. Available benefits include medical dental vision healthcare and other insurance benefits (for employee and family) retirement benefits including 401(k) paid holidays vacation and compassionate and sick days. More information about benefits is available at can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only:We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:We will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance

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