Data Scientist

Cisco • Austin, TX

1d

About The Position

You will be joining a forward-thinking team of data scientists and product engineers dedicated to transforming complex, unstructured data into actionable insights. We operate at the intersection of advanced analytics and product innovation, working closely with service teams to solve real-world business challenges.

Our culture is defined by our commitment to Think Really Big, Play to Win, and Drive Durable Growth. We don’t just analyze data; we look for the next technological leap, compete with excellence in a fast-paced market, and build solutions that stand the test of time.

As a Data Scientist, you will play a critical role in designing and deploying machine learning frameworks that drive product and commercial success. You will own the end-to-end lifecycle of data projects—from identifying research questions and cleansing disparate data sources to deploying models into production. You will identify opportunities to apply advanced analytics to our most complex business problems, pushing the boundaries of what our data can reveal and proposing innovative, high-impact solutions. You will deliver high-quality, robust models that provide a competitive edge. Your focus on performance, accuracy, and technical excellence ensures that our products remain best-in-class. You will focus on the scalability and long-term sustainability of your models. By building reusable frameworks and monitoring systems, you ensure that our data infrastructure supports long-term business expansion and consistent value creation.

Requirements

• Education & Experience: Bachelor’s degree + 7 years of related experience, Master’s degree + 4 years of related experience, or PhD + 1 year of related experience.
• Machine Learning Expertise: Proven ability to design and build machine learning frameworks, including proficiency with ML libraries and hyper-parameter tuning.
• Advanced Analytics: Demonstrated experience applying advanced analytics techniques to large, unstructured "big data" sets to identify correlations and patterns.
• Programming Proficiency: Strong coding skills (e.g., Python, R, SQL) for developing software programs, algorithms, and automated processes to integrate and evaluate data.
• Business Communication: Ability to interpret complex findings and communicate insights clearly to product, service, and business managers.

Nice To Haves

• Production Deployment: Experience overseeing the deployment of data science models into production and monitoring for long-term effectiveness.
• Specialized Techniques: Knowledge of NLP (Natural Language Processing) and NLU (Natural Language Understanding) development and testing.
• Research & Innovation: Experience contributing to patent applications, research publications, or innovative feature engineering.
• Project Leadership: Ability to lead moderately complex, end-to-end projects from technical design through completion.
• Visualization: Proficiency in designing and creating high-impact reporting and visualization tools (e.g., Tableau, PowerBI) that link data to measurable business outcomes.

Responsibilities

• Designing and deploying machine learning frameworks that drive product and commercial success.
• Owning the end-to-end lifecycle of data projects—from identifying research questions and cleansing disparate data sources to deploying models into production.
• Identifying opportunities to apply advanced analytics to our most complex business problems, pushing the boundaries of what our data can reveal and proposing innovative, high-impact solutions.
• Delivering high-quality, robust models that provide a competitive edge.
• Focusing on the scalability and long-term sustainability of your models.
• Building reusable frameworks and monitoring systems to ensure that our data infrastructure supports long-term business expansion and consistent value creation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees