Backed by a16z.
About the role
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.
What they're looking for
- 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
More about this role
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.
Analyze structured and unstructured data to identify trends, opportunities, and actionable business insights.
Develop...
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