Dialexa is expanding its Data Science practice and is looking for great talent to join us in building intelligent, next-generation platforms. Are you tired of just pushing out ones and zeros and you yearn to solve hard problems? Do you want to work on an awesome team of designers and developers in a full agile process? Do you want your creative technical ideas to be listened to, heard, and implemented? Do you want to create applications that people love?

We develop leveraging a wide array of technology platforms and frameworks creating transformative products and capabilities for our clients. We have an awesome culture that includes perks such as healthcare benefits, 401K, PTO, wellness programs, and much, much more. To learn more about Dialexa, please visit www.dialexa.com.


  • Build and estimate data science teams and projects
  • Lead projects overseeing data scientists, data engineers, software engineers, and designers
  • Define and decide the best approach to executing machine learning projects based on stakeholder business requirements
  • Advise clients on the benefits and risks of leveraging different machine learning models to solve business problems
  • Architect and guide other ML engineers in the development of ML models
  • Leverage platforms to productionalize models into a variety of platform architectures
  • Define and lead our service offerings around MLOps
  • Coordinate with multiple internal and external functional teams to implement models and monitor outcomes
  • Develop result-oriented goals and success criteria to continuously monitor and test solutions
  • Help drive business results and participate in the growth of the practice and the company
  • Mentor new data scientists and engineers on technical capabilities and career goals

Expectations (the more the better - we want great talent!)

  • Bachelor’s Degree from a 4-year college/university with a relevant degree (data science, computer science, etc.) or equivalent experience and certifications
  • Experience leading data science projects in a production environment
  • 5+ years in data science roles or similar experiences
  • 3+ years leading projects in client-facing roles
  • Knowledge of and/or experience with major MLOps platforms (Sagemaker, Azure ML, Google Cloud AI, MLFlow, etc.)
  • Experience with:
    • Python and other similar coding technologies (e.g. Scala, Java, R, etc.)
    • Training machine learning models (e.g. Scikit-learn, Tensorflow, Keras, PyTorch)
    • Advanced data science concepts (e.g. Deep Learning, NLP, Computer Vision)
    • Data prep, ETL pipelines, and Distributed Computing (e.g. Pandas, Spark, dask)
    • Cloud infrastructure and services (e.g. AWS, Azure, Google Cloud)
  • Must be comfortable being online and available approximately between 8AM to 6PM CST
  • Must be able to travel to Dallas, Texas or the client location as requested (at a minimum of once a quarter)

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