Concentrix

Data Scientist – Bilingual

Concentrix

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇲🇽 Mexico

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Job Level

JuniorMid-Level

Tech Stack

AWSAzureCloudGoogle Cloud PlatformJavaKubernetesPythonScalaSparkSQL

About the role

  • Concentrix Catalyst is the experience design and engineering team of Concentrix, a leading global solutions company that reimagines everything CX through strategy, talent and technology. We combine human-centered design, powerful data and strong tech to accelerate CX transformation at scale. The Catalyst Team is seeking a seasoned and collaborative Data Scientist to join our mission of transforming the contact center experience through real-time AI. This new role will serve as a critical bridge between on-shore and off-shore data science teams, helping to mentor junior scientists, drive business-aligned outcomes, and build production-ready AI solutions. You’ll work on cutting-edge technologies including speech-to-text evaluation, LLM fine-tuning, and real-time NLU alerting systems that enhance customer interactions with T-Mobile Care. You will be empowered to lead data science experiment cycles in collaboration with a human annotation team and technical leadership, create novel solutions to complex contact center problems, and make decisions about the implementation based on your expertise.

Requirements

  • Bachelor’s or master’s degree in computer science, Data Science, or a related field or 2+ years of experience as a data scientist directly collaborating with business stakeholders
  • Proficiency in Python and Jupyter Notebooks; strong SQL skills for data access and manipulation.
  • Experience with cloud platforms including AWS, Azure (AML, Databricks), and GCP.
  • Familiarity with Spark and Scala; Java and Kubernetes experience are a plus.
  • Demonstrated experience in deploying models to production environments.
  • Hands-on experience with LLMs (fine-tuning, prompt engineering) and NLU systems.
  • Familiarity with telecom protocols and network infrastructure is a plus, especially in the context of real-time data processing and alerting.
  • Strong communication skills and the ability to translate technical insights into business value.
  • Top-notch data science experimentation skills, including exploratory data analysis, proactive problem solving, ideation, critical thinking, problem solving.
  • Capable of creating business-informed rapid experimentation cycles for model evaluation and development in collaboration with business and technical leadership.
  • Comfortable working across time zones and managing unusual hours to support global collaboration.
  • Understanding of data privacy, security, and compliance standards in handling customer interaction data.
  • Knowledge and hands-on experience in NLP and NLU (speech-to-text is a big plus).
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonJupyter NotebooksSQLAWSAzureGCPSparkScalaLLMsNLU
Soft skills
communicationproblem solvingcritical thinkingcollaborationmentoringideationexploratory data analysisproactive problem solvingbusiness-informed decision makingadaptability
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