Demo

Data Scientist

Lumetec
Pasadena, TX Full Time
POSTED ON 5/8/2025
AVAILABLE BEFORE 6/8/2025

Position :   Data Scientist

Location : Pasadena, CA, hybrid.

Company Overview :  We are a deep-tech startup founded by experts from Google, Caltech, Stanford, and UMich, specializing in fiber optic sensing and big data analytics. Our mission is to translate vast, real-time signals into actionable insights at scale, driving innovation in data-driven industries worldwide.

Role Overview :  We are seeking a  Data Scientist / Engineer  to support our growing data analytics and engineering efforts. In this role, you will collaborate with cross-functional teams to develop dashboards, optimize big data pipelines, build statistical models, and contribute to meaningful insights derived from vast datasets. We're looking for someone who is resourceful, proactive, outcome-oriented and takes full ownership of their work.

Key Responsibilities :

  • Build and maintain interactive dashboards and apps using Panel / HoloViz and Superset.
  • Implement and manage data workflows and automation pipelines using GCP, Cloud Run, and Terraform.
  • Leverage mathematical and statistical methods to analyze large datasets in Snowflake, Spark, and other big data environments.
  • Contribute to process automation and documentation for data-related tasks.
  • Collaborate with senior engineers and data scientists to refine and deploy analytics solutions.

Required Qualifications :

  • Minimum 2 years of experience in a commercial setting (Startup experience is a plus).
  • 1 year of experience with Panel / HoloViz object-orientated patterns with geospatial applications
  • Working knowledge of Cloud Run / ECS, GCP / AWS, and strong knowledge of Terraform.
  • Background in mathematics, science or related quantitative field; applied to Machine / Deep Learning applications.
  • Hands-on experience creating Superset / Tableau / Looker dashboards.
  • Proficiency in big data analysis (Snowflake, Spark, etc.). More than 1 year of experience.
  • Proficiency in geospatial data analysis and processing (GDAL, geopandas, projections etc.)
  • Experience processing and interpreting geophysical data : well logs or gravity surveys or magnetic surveys etc.
  • Proficiency with CI / CD pipelines, git and PR review processes.
  • Demonstrable experience with cross functional team collaboration to deliver data science and eng solutions.
  • Authorized to work in the U.S.
  • Additional Qualifications (Preferred) :

  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Prior experience working with real-time data pipelines or streaming platforms like Kafka.
  • Ready to work in person in Pasadena.
  • Experience with Bayesian Inference
  • What We Offer :

  • Competitive compensation and benefits.
  • Opportunity to work on cutting-edge technology with real-world impact.
  • A dynamic startup environment fostering growth and learning.
  • Hybrid work flexibility in a vibrant research setting on Caltech Campus.
  • Opportunity to travel and interact with end users.
  • If you’re excited about advancing fiber optic sensing and big data analytics, we want to hear from you.  Apply now  and help shape the future of real-time data science!

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