Lead Data Scientist

EPAM Systems Inc; México; Remote; MXN 1.000.000 - 2.000.000; Vollzeit

Benefits dieser Stelle

Healthcare benefits

Paid time off

Zusammenfassung

EPAM Systems Inc seeks a Lead Data Scientist to apply NLP/LLM techniques and broad data science methods to identify sources of customer friction in large text datasets. You will develop tools to speed up friction detection and product enhancement, while guiding strategic decisions with senior stakeholders.

The role requires 5+ years in data science, leadership of teams, strong NLP/LLM knowledge, and hands-on ML deployment with monitoring.

Qualifikationen

• Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Computer Science, or closely related area.
• At least 5 years of applicable data science experience.
• Experience leading and managing development teams (1+ year).
• Deep knowledge of ML, NLP and LLMs with business problem framing.
• Advanced SQL skills and proficiency in Python or R.
• Ability to deploy ML/NLP projects with monitoring and governance.
• Strong communication to explain technical ideas to non-technical stakeholders.

Aufgaben

• Guide strategic decision-making related to customer friction using data science and business insight.
• Keep pace with NLP/LLM advances and apply cutting-edge methods to business needs.
• Build and deploy measurement systems, ML models, and NLP tools for growth and quality.
• Lead cross-functional initiatives with Operations, Engineering, PM, and Product.
• Mentor data scientists and promote a culture of upskilling and rigorous delivery.

Kenntnisse

NLP/LLM

Leadership

Business judgment

Python

SQL

R

Data visualization

Stakeholder communication

Project management

Model monitoring

Ausbildung

Bachelor's or Master's in Statistics/Mathematics/Econometrics/Computer Science

Tools

Python

R

SQL

Pandas

NumPy

Scikit-learn

Streamlit/Tableau/R Shiny

Databricks

Jobbeschreibung

Our team is seeking a Lead Data Scientist to join our organization. In this position, you'll apply NLP/LLM techniques alongside broader data science approaches to pinpoint sources of customer friction buried within massive text datasets, while developing tools that speed up friction detection and product enhancement. The ideal candidate brings sharp business judgment, ease operating alongside senior executives, deep statistical knowledge, strong NLP/LLM capabilities, and a track record of working across multiple functional teamsResponsibilitiesGuide strategic thinking and critical decision-making tied to customer friction issues by merging solid business understanding with sophisticated data science approachesKeep pace with the rapidly shifting NLP and LLM field, incorporating cutting-edge research methods into practical business applicationsConstruct and launch measurement systems, machine learning models, and NLP/LLM tools designed to fuel customer growth and sharpen product qualityConceive, define scope for, and spearhead impactful projects through tight collaboration with Operations, Engineering, Program Management, and Product ManagementHelp build a thriving Data Science culture by conducting technical training sessions, encouraging ongoing skill development, and guiding other Data Scientists on the teamRequirementsA Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Computer Science, or a closely related areaAt least 5 years of applicable background in Data Science or comparable fieldsA minimum of one year spent leading and managing development teamsDeep knowledge applying diverse ML approaches, including NLP and LLMs, to address business challenges, paired with sound instincts for selecting the right method for the right problemBackground overseeing ML projects in their entirety, spanning deployment through continuous monitoringAdvanced SQL skills, complemented by strong capability in another data science language such as Python or RConsistently high standards for deliverable quality, while remaining pragmatic about balancing speed of delivery against future refinementCapacity to break down intricate technical ideas for a range of audiences and build persuasive narratives aimed at non-technical stakeholdersSkilled with visualization platforms such as Streamlit, Tableau, or R Shiny, as well as libraries including matplotlib and bokehUpper-intermediate English language skills or higher (B2)Nice to haveBackground working with Amazon SageMaker, Apache Kafka, and Databricks to construct and manage machine learning and data pipeline infrastructureExposure to NLP preprocessing methods used to ready text data for modeling and analysisStrong capability with libraries such as Pandas, NumPy, and Scikit-learn for data handling and model buildingWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.