דרושים Analytics Consultant ב-United States

What you'll be doing:

• As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling.

• Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins

• Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency

• You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.

• In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions.

• You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

What we need to see:

• BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with 1+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management.

• Experience with SQL, ETL, and data modeling is crucial

• Hands-on experience with cloud platforms (AWS, Azure, GCP)

• Design and implement highly scalable, fault tolerant distributed database solutions

• Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads

• Excellent knowledge in using statistical tools for data analysis & insights.

• Strong programming and scripting skills in Perl, Python, C++ or Tcl is expected

• Outstanding written and oral communication skills with the curiosity to work on rare challenges.

Ways to stand out from the crowd:

• Experience in data pipeline and database architecture for real-world systems

• Experience in application of AI for EDA-related problem-solving

• Good understanding of technology and passionate about what you do

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment

What you'll be doing:

• Develop and implement the business logic in the new End-to-End Data systems for our Planning, Logistics, Services, and Sourcing initiatives.

• Lead discussions with Operations stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases.

• Analyze and organize raw operational data including structured and unstructured data. Implement data validation checks to track and improve data completeness and data integrity.

• Build data systems and data pipelines to transport data from a data source to the data lake ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation.

• Prepare data for AI/ML/LLM models by making sure that the data is complete, has been cleansed, and has the necessary rules in place.

• Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions.

• Build data and analytic solutions for key initiatives to set up manufacturing plants in US.

• Support key strategic initiatives like building scalable cross-functional datalake solutions.

What we need to see:

• Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

• 8+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)

• Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members

• Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

• Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration

• Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using Databricks, AWS, Azure, SQL or other technologies

• Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy

• Knowledge of supply chain business processes for planning, procurement, shipping, and returns of chips, boards, systems, and networking.

Ways to stand out from the crowd:

• Self-starter, collaborative, positive mindset, committed to growth with integrity and accountability, highly motivated, driven, and high-reaching

• Solid ability to drive continuous improvement of systems and processes

• A consistent record to work in a fast-paced environment where good interpersonal skills are crucial