Quantiphi · 3 hours ago
Machine Learning Engineer
Dallas, TX
Full-time
Onsite
Mid Level
3+ years expQuantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. We are seeking a highly skilled Machine Learning Engineer with a strong focus on Churn Modeling to join our growing data science team, where you will develop and deploy predictive models to understand and mitigate customer churn in the telecommunications domain.
Artificial Intelligence (AI)Cloud Data ServicesInsurTechMachine LearningSoftware
Responsibilities
Develop and Deploy Churn Models : Design, build, train, and evaluate predictive churn models using a variety of machine learning algorithms, including XGBoost, Random Forest, and Logistic Regression
Data Exploration & Feature Engineering : Conduct in-depth correlation analysis and exploratory data analysis to identify key features and patterns influencing customer churn within large, complex telecom datasets
Statistical Machine Learning: Apply strong statistical machine learning principles to ensure model robustness, interpretability, and generalizability
Model Deployment & MLOps: Operationalize and deploy machine learning models into production environments using GCP services such as Vertex AI and Cloud Run. Monitor model performance, retrain as needed, and ensure scalability
Insights & Recommendations: Translate complex analytical findings into clear, actionable insights and strategic recommendations for business stakeholders (e.g., marketing, product, customer service) to reduce churn and improve customer retention
Domain Expertise: Leverage experience in the Telecom domain to understand specific customer behaviors, product offerings, and market dynamics that impact churn
Collaboration: Work closely with data engineers, product managers, and business analysts to define problem statements, gather requirements, and integrate solutions
Experimentation & A/B Testing: Design and analyze experiments to test the effectiveness of churn mitigation strategies
Qualification
Required
3+ years of experience in a Data Analyst, Machine Learning Engineer, or Data Scientist role with a strong focus on predictive modeling
Proven experience in Churn Modeling within the telecommunications
Machine learning algorithms: Demonstrated proficiency in implementing and optimizing models using XGBoost, Random Forest, and Logistic Regression
Statistical analysis skills: Ability to perform correlation analysis, hypothesis testing, and other statistical methods to derive meaningful insights
Proficiency in Python (e.g., scikit-learn, pandas, numpy) for data manipulation, analysis, and model development
Understanding of statistical machine learning principles, model evaluation metrics, and bias-variance trade-offs
Experience with SQL for data extraction and manipulation
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
Preferred
Experience with other GCP services (e.g., BigQuery, Dataflow, Composer)
Familiarity with MLOps best practices and tools
Experience with A/B testing frameworks and experimental design
Knowledge of customer lifetime value (CLTV) modeling
Benefits
Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Company
Quantiphi
Quantiphi is a digital engineering company that provides data science and machine learning software and services.
1001-5000 employees
H1B Sponsorship
Quantiphi 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 (45)
2024 (65)
2023 (45)
2022 (94)
2021 (71)
2020 (46)
Funding
Current Stage
Late StageTotal Funding
$23.41MKey Investors
Multiples
2019-12-19Series A· $20M
2018-09-13Series Unknown· $3.41M
Leadership Team
Asif Hasan
Co-Founder
Ritesh Patel
Co-Founder
Recent News
2025-12-05
2025-12-02
Company data provided by crunchbase