Data Scientist

Job Description

 TextNow is looking for an experienced Data Scientist to join our Data Science Team. At TextNow, we’re on a mission to transform the telecom landscape by building a platform that powers tens of millions of calls and messages every day, driving innovation and delivering exceptional user experiences. The Data Science Team is at the heart of this mission, designing and developing scalable, high-performance backend systems that serve our customers. 

As a senior contributor, you will directly collaborate with multiple teams across the TextNow organization including Marketing and Growth, Product, and Engineering to deliver well-thought-out insights and solutions that impact major company objectives. You are a communicative and considerate team player who approaches problem-solving with both an inquisitive and practical mindset that allows you to distill business questions and objectives into actionable plans. 


What You’ll Do:
  • Collaborate and partner with various internal stakeholders including the finance, marketing, AdOps and product teams to understand and frame business questions into analytic frameworks 
  • Design, validate and implement machine learning solutions that deliver insights and support business operations and decisioning including forecasting, audience segmentation, conversion and churn propensity scoring, root-cause analysis, etc. 
  • Quantify business impact with experimentation and non-experimental strategies 
  • Communicate results of analyses, insights, and recommendations to the partners clearly and transparently with a clear view into assumptions made 
  • Manage full development of analytic and predictive models from design and documentation to execution with minimum supervision 

  • Who You Are:
  • BA/BS in a quantitative discipline like Math, Statistics, Computer Science, or Economics. MS preferred. 
  • 3+ years of industry experience, preferably in at fast-growing tech companies 
  • Deep experience in machine learning and advanced analytics (e.g. regression, classification, clustering, optimization, causal modeling, natural language processing, deep neural networks). 
  • Excellent in connecting with technical and non-technical stakeholders, transforming complex ideas into clear insights, while actively listening to foster a collaborative environment 
  • A self-starter with a “can do” attitude and passion for driving impact and execution 
  • Experienced in Python and SQL programming skills with theability to write high qualitycode; prior experience with Snowflake a plus 
  • Familiarity with Airflow, MLOps, CD/CI, Kubernetes and Docker a plus