Emergence AI · 8 hours ago
Data Scientist
Los Angeles, CA
Full-time
Onsite
Mid, Senior Level
4+ years expEmergence AI is focused on building an agentic data platform that automates complex data workflows for enterprises. The Data Scientist will work on developing AI agents that enhance yield improvement and process optimization in semiconductor manufacturing by leveraging data science and machine learning techniques.
Artificial Intelligence (AI)Information TechnologyInternet
Hiring Manager
Alka Dhir
Responsibilities
Ingest and unify data from diverse sources across the semiconductor lifecycle (process, test, assembly, and field / system-level data)
Handle structured data (SQL, CSV, metrology logs, time-series) and unstructured data (reports, images, logs)
Develop pipelines to clean, align, and normalize large datasets across manufacturing stages and product lines
Design and implement algorithms for excursion and anomaly detection, trend monitoring, and yield / quality loss pattern recognition
Perform advanced correlation analysis across process parameters, test metrics, and design variables
Support root-cause analysis by developing interpretable statistical and machine learning models to identify likely drivers of excursions and quality drift
Develop feature extraction and dimensionality-reduction methods suitable for high-dimensional industrial and manufacturing data
Collaborate with ML and agent engineers to design agents that can call tools, query data, run analyses, and iteratively refine their own hypotheses
Create interactive dashboards and visualizations (e.g., wafer maps, trend charts, pareto analyses) to communicate findings to process and product engineers
Evaluate and implement modern AI/ML approaches for yield optimization, root-cause analysis, and reliability monitoring (e.g., graph-based methods, representation learning, LLM-assisted analysis)
Qualification
Required
M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Physics, Statistics, Applied Mathematics, or a related quantitative field (or equivalent practical experience)
4+ years of experience in applied data science, machine learning, or advanced analytics
Experience working with large, complex, multi-source datasets (e.g., time-series, sensor, manufacturing, or hardware data)
Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and common ML / data science workflows
Strong experience with databases and querying (SQL and NoSQL)
Experience with data visualization tools and frameworks (e.g., Plotly or similar)
Strong grasp of statistical methods such as outlier detection, correlation analysis, regression, clustering, causal inference, and time-series analysis
Comfortable working with both engineering and data teams, as well as domain experts
Strong analytical thinking, curiosity, and ability to explain complex findings clearly to non-specialists
Practical mindset — focused on building usable analytics and agents that deliver real operational impact
Preferred
Familiarity with semiconductor yield analysis and manufacturing processes (e.g., yield metrics, bin analysis, wafer maps, process flows)
Experience with wafer-level and bin-level data analysis, wafer map pattern recognition
Experience using or developing yield management systems (YMS) or manufacturing data platforms
Experience with multi-modal or foundation models (LLMs, VLMs) applied to industrial or manufacturing data
Exposure to LLM-assisted data analysis, AI-based anomaly detection, or agent-based systems in industrial contexts
Experience with cloud data environments (e.g., GCP, AWS, Databricks) and modern data pipelines / orchestration (e.g., Airflow, Argo, dbt, Beam, Dagster)
Company
Emergence AI
Emergence AI is building the Agentic Execution Layer for enterprises, starting with automating data workflows.
51-200 employees
H1B Sponsorship
Emergence AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$300MKey Investors
Russell AI Labs
2025-09-24Corporate Round· $300M
Recent News
2026-01-23
Computer Weekly
2026-01-22
Company data provided by crunchbase