Data Scientist - Bilingual

Job Title:

Data Scientist - Bilingual

Job Description

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.

• 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).

Responsibilities

Mentorship and Collaboration

• Collaborate with business and technical leadership to ensure AI initiatives align with strategic objectives.
• Collaborate with annotation team to ensure that we are creating truthful, useful data for model development.

Model Development and Analysis

• Build, evaluate, and refine machine learning models, including speech-to-text and LLM-based summarization systems.
• Conduct exploratory data analysis and generate insights to inform model development.
• Fine-tune and prompt engineer state-of-the-art LLMs for enterprise use cases.

Production and Deployment

• Ensure all non-analytical work is production-ready and scalable.
• Collaborate with engineering and architecture teams to deploy models into real-time systems.
• Monitor model performance and iterate based on feedback and business needs.

Real-Time AI and Alerting

• Develop and maintain real-time alerting systems based on NLU and other AI inputs.
• Optimize models for latency, accuracy, and reliability in a live contact center environment.

Monitoring, Security, and Compliance

• Develop monitoring tools and dashboards to track model performance, latency, and alerting accuracy.
• Ensure data privacy and compliance with industry standards when handling customer interaction data.
• Proactively identify and mitigate risks related to model performance and data security.

Cross-Functional Communication

• Work closely with the lead data scientist, tech leads, architects, and business stakeholders.
• Effectively communicate technical findings to both technical and non-technical stakeholders, ensuring alignment with business goals.

Location:

MEX Work-at-Home

Language Requirements:

Time Type:

Full time2026-10-30

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