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**If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the** **Job Applicant Privacy Notice for California Residents**