Decision Scientist jobs in United States
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Boost Mobile · 1 day ago

Decision Scientist

Boost Mobile, part of EchoStar, is reimagining the future of connectivity through innovative consumer solutions. 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.

ElectronicsMobileTelecommunications
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H1B Sponsor Likelynote

Responsibilities

Act as the primary translator of complex statistical findings for the C-Suite and non-technical leadership
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
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)
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
Analyze survival curves and hazard rates to pinpoint specific lifecycle moments (e.g., Day 90, Month 12) where customers are most vulnerable to churn
Partner with marketing and retention teams to design and test targeted interventions based on individual churn probability scores
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
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
Perform unsupervised learning (clustering/segmentation) on demographic, behavioral, and transactional data to create living customer personas
Conduct Customer Lifetime Value (CLV) analysis to help the business prioritize high-value segments for white-glove service or exclusive offers
Map the end-to-end customer journey to identify friction points that lead to early drop-off or failed activations
Write complex SQL queries to wrangle and join distinct datasets from sales, marketing, and web tracking sources within a cloud environment
Build automated, interactive dashboards (Tableau) that incorporate statistical baselines, trend lines, and automated forecast alerts
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

Predictive Churn ModelingStatistical ModelingGenerative AI & NLPSQLCloud Computing (AWS)Data VisualizationCommunicationPythonRA/B TestingK-Means ClusteringCustomer Lifetime Value

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

Flexible spending accounts
HSA
A 401(k) Plan with company match
ESPP
Career opportunities
A flexible time away plan

Company

Boost Mobile

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Boost Mobile offers wireless phones and services with no long-term contracts.

H1B Sponsorship

Boost Mobile 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 (1)

Funding

Current Stage
Late Stage
Total Funding
unknown
2020-07-01Acquired

Leadership Team

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Brian Lee (Beezy B)
Boost Mobile Partner
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Waleed Orabi
Business Partner
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Company data provided by crunchbase