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EchoStar Corporation · 10 hours ago

Senior Data Scientist - AI Products

San Mateo, CA

Full-time

Onsite

Mid, Senior Level

$96K/yr - $182K/yr

4+ years exp

EchoStar Corporation is reimagining the future of connectivity, spanning various services including satellite television and mobile plans. They are seeking a Senior Data Scientist to partner with stakeholders, develop machine learning models, and transform large-scale data to drive business outcomes in AI products.

HardwareSatellite CommunicationSoftware

No H1B

Responsibilities

Partner with stakeholders to identify high-impact, feasible opportunities for the AI Office and demonstrate how data science can drive business outcomes

Develop machine learning models for customer segmentation, churn prediction, user modeling, and lifetime value estimation

Design and deploy GenAI and LLM solutions to automate complex workflows, such as transcript analysis and compliance validation

Transform and analyze large-scale structured and unstructured data (e.g., text, images) to uncover actionable insights

Collaborate with cross-functional teams to build and deploy scalable, cloud-based data science and GenAI solutions; provide technical mentorship

Communicate complex models and findings to both technical and non-technical audiences via dashboards, notebooks, and presentations

Qualification

Machine LearningData ScienceAWS CloudPythonSQLBig Data ToolsStatistical TechniquesData EngineeringSoft Skills

Required

Bachelor's or Master's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field

Master's or PhD in a relevant quantitative domain

4+ years of experience in data science and applied machine learning, with a proven track record of delivering business impact from data-driven solutions

Experience with big data tools such as Amazon Athena, Redshift, BigQuery, Spark, or Teradata

Experienced in prompt engineering, model evaluation, and deploying LLMs in production environments

Hands-on experience with AWS cloud environments and enterprise-scale ML platforms like Dataiku and Databricks

Strong foundation in statistical and machine learning techniques, including regression, classification, clustering, neural networks, and ensemble models

Proficient in Python and SQL for data science workflows; skilled in building and evaluating generative AI and LLM-based solutions

Skilled in processing unstructured data (text, images) using modern ML/DL frameworks

Proven ability to design, run, and analyze A/B tests and controlled experiments

Familiarity with MLOps practices for deploying, monitoring, and maintaining ML/GenAI systems in production

Data engineering skills for preprocessing, cleaning, and transforming large-scale datasets

Benefits

Versatile health perks

Flexible spending accounts

HSA

A 401(k) Plan with company match

ESPP

Career opportunities

A flexible time away plan

Company

EchoStar Corporation

Glassdoor3.5

EchoStar Corporation (Nasdaq: SATS) is a premier provider of technology, networking services, television entertainment and connectivity, offering consumer, enterprise, operator and government solutions worldwide under its EchoStar®, Boost Mobile®, Sling TV, DISH TV, Hughes®, HughesNet®, HughesON™ and JUPITER™ brands.

Founded in 1980

Englewood, Colorado, USA

10001+ employees