Data Scientist at Altera Corporation in San Jose, California, United States

Job description

• Altera is empowering the future of intelligent computing through programmable solutions that accelerate innovation across cloud, communications, industrial, automotive, aerospace, defense, and edge applications. As a newly independent company, Altera combines decades of FPGA leadership with the agility and growth opportunities of a standalone business.
• Altera is seeking two Data Scientists to support a growing portfolio of AI and business intelligence initiatives. The role will combine data science, generative AI, analytics engineering, and visualization to turn complex business requirements into practical, scalable solutions that improve forecasting, planning, reporting, and decision-making.
• The successful candidate will work closely with business leaders, data engineers, product teams, and cross-functional stakeholders to prototype, test, document, and scale AI and BI solutions. This includes building Databricks-based workflows, conversational analytics experiences, predictive models, dashboards, and reporting frameworks that deliver measurable business impact.

Responsibilities

• Analyze structured and unstructured data to identify trends, opportunities, and actionable business insights.
• Develop predictive models, forecasting tools, and machine learning solutions to support strategic and operational decision-making.
• Design, build, and maintain data pipelines, analytical models, dashboards, and visualizations.
• Design, build, test, and maintain data pipelines, analytical models, dashboards, and AI-powered workflows using Databricks and related cloud data platforms.
• Partner with stakeholders across Finance, Sales, Operations, Marketing, HR, and Engineering to understand business needs and translate them into analytical solutions.
• Create compelling presentations and data stories that effectively communicate findings to technical and non-technical audiences, including executive leadership.
• Partner with end users to gather requirements, develop prototypes, conduct user acceptance testing, incorporate feedback, document solutions, and support adoption of new AI and BI capabilities.
• Identify data quality issues, model limitations, hallucination risks, anomalies, and inconsistencies while supporting improvements to data governance, AI governance, reporting accuracy, access controls, and solution documentation.
• Collaborate with data engineers and technology teams to develop scalable analytics solutions and deploy models into production environments.
• Prototype and evaluate generative AI solutions, including natural-language analytics, retrieval-augmented generation, AI assistants, and workflow automation, with appropriate testing for accuracy, reliability, security, and business value.
• Contribute to the development of analytical best practices, coding standards, and data science methodologies across the organization.
• Evaluate and integrate emerging technologies, tools, and AI capabilities to advance Altera's data and analytics maturity.

Requirements

• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Operations Research, Business Analytics, Engineering, or a related quantitative field completed by the start date.
• 1+ year of relevant experience demonstrated through internships, co-ops, research, academic projects, or professional work.
• Proficiency in Python and SQL demonstrated through coursework, internships, research, or personal projects, with the ability to learn new data and AI tools quickly.
• Experience with statistical analysis, machine learning, data visualization, or business intelligence through coursework, projects, or internships.
• Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
• Excellent written, verbal, and presentation communication skills.
• Ability to work effectively in a collaborative, cross-functional environment.
• The role will also evaluate and learn emerging AI tools as business needs evolve. Candidates are not expected to know every platform on day one, but they should demonstrate curiosity, sound technical judgment, and the ability to compare tools based on accuracy, security, scalability, usability, and business value.
• Foundational experience with Databricks through coursework, certification, internships, or academic projects, including notebooks, SQL, Delta Lake concepts, data pipelines, and machine learning or AI workflows.
• Familiarity with machine learning frameworks and libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Experience using Git or other version control systems.
• Knowledge of forecasting, scenario modeling, financial analytics, revenue operations, or business performance measurement.
• Exposure to AI, generative AI, large language models (LLMs), or advanced analytics applications.
• Experience with Power BI or a comparable business intelligence platform, including data modeling, dashboard development, KPI reporting, or interactive analytics through coursework, projects, or internships.
• Understanding of semiconductor, manufacturing, supply chain, or technology industry data environments.

Skills

Required

• Python
• SQL
• Statistical analysis
• Machine learning
• Data visualization
• Business intelligence
• Analytical and problem-solving skills

Preferred

• Databricks
• Scikit-learn
• TensorFlow
• PyTorch
• Git
• Power BI
• Forecasting
• Scenario modeling

Benefits

• Hands-on experience applying advanced analytics and AI to real-world business challenges.
• Exposure to executive decision-making and strategic initiatives across a leading semiconductor company.
• Opportunities to work with modern cloud, data, and AI technologies.
• Career growth within a fast-paced, high-growth organization shaping the future of programmable computing.
• The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
• We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.