EchoStar Corporation · 21 hours ago
Decision Scientist
Littleton, CO
Full-time
Onsite
Entry, Mid Level
$72K/yr - $103K/yr
1+ years expEchoStar is reimagining the future of connectivity, serving various brands including Boost Mobile and Sling TV. The Decision Scientist will drive intelligence across sales and retention channels, utilizing data analytics and predictive modeling to enhance customer lifecycle strategies and revenue growth.
HardwareSatellite CommunicationSoftware
Responsibilities
Executive Communication & Data Storytelling
Strategic Narrative: Act as the primary translator of complex statistical findings for the C-Suite and non-technical leadership
Impact Visualization: Move beyond basic charts to create visual data stories that highlight the "So What?" and "Now What?" of the analysis; specifically, guide leadership on budget allocation for acquisition vs. retention based on data evidence
ROI Demonstration: Regularly present findings in high-stakes meetings, clearly demonstrating how data science models are directly impacting revenue, churn reduction, and Net Promoter Scores (NPS/CSAT)
Predictive Churn Modeling & Retention Strategy
Proactive Retention: Evolve retention strategies from reactive reporting to proactive prediction. Build and maintain predictive churn models (using Python/R/XGBoost) to identify at-risk customers before they leave
Survival Analysis: Analyze survival curves and hazard rates to pinpoint specific lifecycle moments (e.g., Day 90, Month 12) where customers are most vulnerable to churn
Intervention Testing: Partner with marketing and retention teams to design and test targeted interventions based on individual churn probability scores
AI Innovation & LLM Prototyping
Unstructured Data Mining: Leverage Large Language Models (LLMs) and NLP techniques to analyze unstructured text data (e.g., chat logs, survey verbatims, telesales transcripts) to identify sentiment shifts and emerging churn drivers
PoC Development: Act as a "prototyper" for the engineering team. You will build initial Proof-of-Concept (PoC) models locally to solve immediate business problems, then collaborate with engineers to scale successful models into production
Advanced Lifecycle & Segmentation Analysis
Dynamic Personas: Perform unsupervised learning (clustering/segmentation) on demographic, behavioral, and transactional data to create living customer personas
CLV Optimization: Conduct Customer Lifetime Value (CLV) analysis to help the business prioritize high-value segments for white-glove service or exclusive offers
Journey Mapping: Map the end-to-end customer journey to identify friction points that lead to early drop-off or failed activations
Data Infrastructure & Visualization
Cloud-Native Analytics: Write complex SQL queries to wrangle and join distinct datasets from sales, marketing, and web tracking sources within a cloud environment
Automated Intelligence: Build automated, interactive dashboards (Tableau) that incorporate statistical baselines, trend lines, and automated forecast alerts
Continuous Improvement
Stay abreast of industry trends, best practices, and emerging technologies in sales analytics and AI. Proactively seek out opportunities to upgrade our sales channel analysis methodologies
Qualification
Required
Master's degree in Statistics, Computer Science, Data Science, or a quantitative business field
1-3 years in an advanced analytics role with a focus on customer behavior
Practical application of regression (Linear/Logistic), K-Means clustering, A/B testing, and Uplift Modeling
Exceptional presentation skills with a portfolio demonstrating the ability to turn complex data into strategic business recommendations
SQL skills (Window functions, CTEs, complex joins)
Experience working within the AWS ecosystem is required. Specifically S3 (storage), Athena (SQL querying), and familiarity with SageMaker or Lambda for automating analysis scripts
Practical experience applying LLM APIs (e.g., OpenAI, Gemini, Hugging Face, or Llama) to business problems, such as text summarization, sentiment analysis, or entity extraction
Proficiency in Python or R is required for statistical modeling (pandas, scikit-learn) and API integration
Strong experience with Tableau, PowerBI, or Looker
Benefits
Versatile health perks
Flexible spending accounts
HSA
A 401(k) Plan with company match
ESPP
Career opportunities
Flexible time away plan
Company
EchoStar Corporation
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.
10001+ employees
H1B Sponsorship
EchoStar Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (19)
2022 (2)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$50MKey Investors
National Telecommunications and Information Administration
2024-10-10Post Ipo Debt
2024-07-15Grant· $50M
2008-01-03IPO
Leadership Team
Charlie William Ergen
Chairman Of The Board
Recent News
2026-01-23
PCMag Australia
2026-01-22
Company data provided by crunchbase