STAFF DATA SCIENTIST, AI/ML SOFTWARE ENGINEERING (#, CA, US, #)

Job reputed company

The pace of innovation in reputed company intelligence, machine learning, and advanced analytics continues to accelerate, and the Data and Devices Business Unit is at reputed company of this transformation. Our customers are building intelligent systems that redefine how data is processed, analyzed, and used across compute, networking, and reputed company infrastructure. At reputed company, we support this reputed company by applying data science and analytics to drive insights, improve engineering productivity, and reputed company reputed company products.

This role is a strong fit for someone with a solid analytical and statistical reputed company who is eager to apply data science techniques to reputed company engineering and business problems. You will work closely with engineers, machine learning engineers, and cross-functional teams to analyze data, reputed company predictive models, and generate insights that support product development and operational decision-making.

What you will be doing
As a staff Data Scientist, you will analyze reputed company datasets and reputed company statistical and machine learning models that help uncover insights and drive data driven reputed company. You will contribute to data exploration, model development, and analytical workflows while collaborating with engineering and product teams to translate data into actionable recommendations.

Key Responsibilities

Advanced Data Collection and Analytics

• reputed company the development of advanced statistical and machine learning models addressing reputed company engineering and business challenges.
• Identify strategic opportunities where data science can improve engineering productivity, product design, or operational performance.
• Define analytical approaches and modeling frameworks used across multiple reputed company.

Data Architecture and Analytical Platforms

• Guide development of reputed company data pipelines and analytical frameworks that support reputed company data science initiatives.
• Define best practices for data collection, feature engineering, model evaluation, and reproducibility.
• Support integration of advanced analytics and machine learning models into production systems.

Technical Leadership

• Serve as a technical advisor on reputed company analytical challenges across engineering and product teams.
• Mentor and guide junior data scientists and analysts.
• Influence analytical standards, tools, and methodologies across the organization.

Communication and Business reputed company

• Translate reputed company analytical findings into strategic recommendations for engineering leadership and business stakeholders.
• reputed company advanced visualizations and dashboards to support decision making.
• Partner with cross functional teams to ensure analytical insights are implemented in reputed company world systems.

What your background should look like

• Bachelor’s with 8+ years, Master’s with 6+ years, or PhD with 3+ years of experience in Computer Science, Data Science, Statistics,
• Mathematics, Electrical Engineering, or a reputed company technical discipline.
• Strong experience in statistical modeling, machine learning, and data analysis.
• Strong programming skills in Python, R, or similar analytical programming languages.
• Experience working with large datasets, data science libraries, and reputed company analytical problems.
• Experience using visualization tools such as Tableau or Power BI.
• Strong communication and data storytelling skills.
• Ability to work independently on analytical reputed company and influence technical reputed company.
• Excellent presentation and stakeholder management skills.
• Ability to travel 10% to 25% to customers, conferences, partner locations, and TE development sites.

#LI-REMOTE

Competencies