Director, Data Science & Analytics

Coherent Corp.

. Define and run Coherent's data science and analytics roadmap .

Posted 10/22/2026full-timeSanta Clara • California • United StatesLead💰 $168,000 - $249,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science initiatives, developing predictive models, and optimizing processes to align analytics with business goals. Proficient in managing teams and ensuring compliance with data governance and security standards.

Highest-signal resume keywords

Data Science LeadershipMachine Learning ExpertisePython and SQL ProficiencyPredictive ModelingCloud Data Platforms Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisMachine LearningExperimental DesignData GovernanceData Quality StandardsMLOpsYield OptimizationDemand ForecastingProcess Optimization

Soft Skills

Clear CommunicationTeam ManagementPrioritization

Tools & Technologies

DatabricksSnowflakeSparkAWSAzureGCPBI ToolsCloud Data PlatformsData PipelinesMES

Certifications & Qualifications

AWS Machine LearningDatabricksPMPCIPP

Industry Keywords

SemiconductorPhotonicsOptical NetworkingHigh-Tech ManufacturingEHS StandardsQuality StandardsEnvironmental StandardsSecurity CompliancePrivacy ComplianceExport-Control Requirements

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPMPPythonSparkSQL

About the role

Key responsibilities & impact

Define and run Coherent's data science and analytics roadmap
Tie analytics initiatives to business goals and track measurable return
Lead development and deployment of predictive models, machine learning, and statistical analysis
Address yield and process optimization, predictive maintenance, demand forecasting, and supply chain planning
Hire, develop, and manage data scientists, analysts, and ML and data engineers
Guide data and ML infrastructure, including cloud data platforms, pipelines, MLOps, and BI tools
Scale data and ML platforms across global fabs and sites
Turn complex analysis into recommendations for executives
Partner with operations, engineering, product, finance, and sales to put solutions into daily use
Set data quality, governance, and model-risk standards
Ensure compliance with security, privacy, and export-control requirements
Evaluate and pilot emerging methods including generative AI and LLMs
Follow applicable quality, environmental, and EHS standards

Requirements

What you’ll need

Bachelor's degree in statistics, computer science, mathematics, engineering, economics, or a related field
10+ years in data science or analytics
5+ years leading teams of data scientists, analysts, or engineers
Hands-on expertise in Python and SQL
Expertise in machine learning, statistical modeling, and experimental design
Track record of taking models from prototype to production and measuring business value
Experience with modern data and ML platforms such as Databricks, Snowflake, Spark, AWS, Azure, or GCP services
Clear, concise communication with executives and non-technical partners
Ability to rank competing priorities by business impact
Master's or PhD in a quantitative field preferred
Experience in semiconductor, photonics, optical networking, or other high-tech manufacturing preferred
Familiarity with MES, SPC, test and yield data, or equipment sensor data preferred
Experience deploying generative AI or LLM solutions in an enterprise setting preferred
Certifications such as AWS Machine Learning, Databricks, PMP, or CIPP preferred
All employees are required to follow site EHS procedures and Coherent Corp. Corporate EHS standards

Benefits

Comp & perks

Competitive compensation program
Career development platform
Stability, longevity and growth opportunities
Equal opportunity/affirmative action employment
Disability accommodation support