Ursus
Overview
JOB TITLE:
Tools Developer, Data Scientist LOCATION:
Santa Clara, CA; AZ (remote), OR (remote), TX (remote) DURATION:
6 months RATE RANGE:
$65-75/hour COMPANY: Our client is a global leader in AI and high-performance computing, powering innovations in gaming, robotics, and data science. Job Description
We are seeking a skilled Tools Developer/Data Scientist/Data Analyst to develop innovative solutions that enable teams within the Systems Product Team (SPT) organization to successfully execute product bring-up activities. This role also involves creating visually compelling, user-friendly dashboards that support strategic executive decision-making. Your work will focus on a wide range of data sources, including engineering logs, factory shop floor metrics, inventory data, material inputs, and production planning. You will contribute to high-impact projects that are critical to new product introductions, as well as key supply chain and manufacturing decisions. What You’ll Be Doing
Build tools to be used by various engineering and program management teams. Work with raw log data (e.g., from SPLUNK, SAP and other DBs). Analyze engineering, product bring up execution data and other Systems Products Team data: Build plan NPI Supply/Demand/Allocation Factory Shop Floor and test data Lab asset data Collaborate with other tool teams to create and deploy solutions (e.g., automated workflows, insightful dashboards). Core Skills & Qualifications
Strong programming skills in data manipulation, analysis, and automation (Python, or similar). Experience with data processing libraries (pandas, numpy, etc.). Experience with data visualization libraries (matplotlib, plotly, etc.). Experience in big data analytics and data visualization. Proficiency with tools such as Splunk, Tableau, or Power BI. Strong SQL skills and experience with data modeling. Background in data processing pipelines (Spark, Kafka, or similar a plus). Preferred Experience
Background in statistical analysis (regressions, hypothesis testing, probability distributions, etc.). Experience in data preparation (ETL processes, data transformation, etc.). Experience in cybersecurity-related analytics or operational data reporting. Building and automating dashboards for executive and technical audiences. Benefits Summary:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND123
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JOB TITLE:
Tools Developer, Data Scientist LOCATION:
Santa Clara, CA; AZ (remote), OR (remote), TX (remote) DURATION:
6 months RATE RANGE:
$65-75/hour COMPANY: Our client is a global leader in AI and high-performance computing, powering innovations in gaming, robotics, and data science. Job Description
We are seeking a skilled Tools Developer/Data Scientist/Data Analyst to develop innovative solutions that enable teams within the Systems Product Team (SPT) organization to successfully execute product bring-up activities. This role also involves creating visually compelling, user-friendly dashboards that support strategic executive decision-making. Your work will focus on a wide range of data sources, including engineering logs, factory shop floor metrics, inventory data, material inputs, and production planning. You will contribute to high-impact projects that are critical to new product introductions, as well as key supply chain and manufacturing decisions. What You’ll Be Doing
Build tools to be used by various engineering and program management teams. Work with raw log data (e.g., from SPLUNK, SAP and other DBs). Analyze engineering, product bring up execution data and other Systems Products Team data: Build plan NPI Supply/Demand/Allocation Factory Shop Floor and test data Lab asset data Collaborate with other tool teams to create and deploy solutions (e.g., automated workflows, insightful dashboards). Core Skills & Qualifications
Strong programming skills in data manipulation, analysis, and automation (Python, or similar). Experience with data processing libraries (pandas, numpy, etc.). Experience with data visualization libraries (matplotlib, plotly, etc.). Experience in big data analytics and data visualization. Proficiency with tools such as Splunk, Tableau, or Power BI. Strong SQL skills and experience with data modeling. Background in data processing pipelines (Spark, Kafka, or similar a plus). Preferred Experience
Background in statistical analysis (regressions, hypothesis testing, probability distributions, etc.). Experience in data preparation (ETL processes, data transformation, etc.). Experience in cybersecurity-related analytics or operational data reporting. Building and automating dashboards for executive and technical audiences. Benefits Summary:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND123
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