Lead Data Scientist / Data Engineer Job at GridMatrix, Austin, TX

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  • GridMatrix
  • Austin, TX

Job Description

At GridMatrix, we are the market-leading builders of next-generation digital infrastructure. We’re a fast growing startup working with critical infrastructure operators globally, making roads, bridges, tunnels, ports, airports more efficient, safer, and sustainable.

You can watch how our customers apply our solutions ( and read more about our recent work (

We're a well-funded software startup backed by Tier-1 venture capital including 8VC (Palantir, Saronic) and Cota Capital (Uber, Square) looking for the best and the brightest.

About the Role:

GridMatrix is seeking an experienced Senior Data Scientist and Engineer to collaborate closely with our

engineering teams to refine and optimize our data pipeline and cloud infrastructure. This role involves hands-on deployment of customer pipelines, overseeing architecture for optimal cost and performance, and assessing the impact of new features to drive company goals. This role is ideal for a proactive engineer passionate about real-time machine learning, efficient cloud solutions, and end-to-end architecture management.

Key Responsibilities:

  • Analyze large datasets generated from computer vision models to derive actionable insights and identify patterns and improve model performance.
  • Collaborate with cross-functional teams to implement and measure new features within the cloud and data pipeline environment.
  • Regularly present project outcomes and insights to senior management and non-technical stakeholders, ensuring clear and effective communication of complex concepts.

Required Skills & Qualifications:

Technical Skills:

  • Real-Time Machine Learning Solutions: Demonstrated experience with building real-time machine learning applications, with computer vision.
  • 4–6 years of experience d ata Science or Data Engineering: in a fast pace data engineering role, with hands-on AWS and enterprise cloud experience.
  • Edge and Cloud Storage: Knowledge of hybrid cloud storage solutions to balance latency and accessibility requirements.
  • Database Proficiency: Strong understanding of database technologies, including PostgreSQL, MySQL, and Cassandra, as well as caching mechanisms to optimize data retrieval.

Project Management Skills:

  • Bias for Action: Takes initiative and exhibits a proactive approach to problem-solving.
  • Deadline-Oriented: Demonstrates a commitment to meeting project timelines and delivering quality results on schedule.
  • Communication & Reporting: Strong skills in documenting and reporting project status and milestones to stakeholders.

Minimum Qualifications:

  • Educational Background: BA/BS in an analytical discipline. MS in mathematics, computer science, data science, or equivalent work experience is preferred.
  • Experience Areas: 4-6 years of experience in data science and engineering, with experience in industries such as IoT, quantitative finance, ad-sales analytics, payments processing, or related fields.

Position Description

  • Position Type: Full-time, salaried
  • Location: Hybrid, based in Austin, Texas
  • Sponsored: No
  • Equity: Eligible
  • Benefits: Unlimited PTO, 401K matching, medical, dental, vision, life insurance
  • Travel: Domestic & International 0-10%
  • Perks: state of the art office with free snacks and assorted beverages, Apple equipment, talented colleagues, thought-provoking and creative work

GridMatrix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Job Tags

Full time, Work experience placement, Local area,

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