We are looking for a **Lead Data Scientist** to convert intricate data into impactful insights and machine learning solutions that drive key business outcomes. You will work closely with product and engineering teams to define challenges, develop models, and present clear data\-driven stories. Bring your expertise in dashboarding tools like Salesforce Tableau and Microsoft Power BI, alongside cloud platforms such as Snowflake, to influence strategic decisions and foster innovation. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. **Responsibilities** * Convert business goals into precise data science challenges with clear metrics for success * Investigate, cleanse, and merge complex datasets while crafting significant features * Develop, assess, and enhance predictive, classification, ranking, NLP, and time\-series models * Plan and evaluate experiments including A/B and multi\-arm tests to ensure dependable causal conclusions * Present insights through compelling narratives, visual aids, and practical recommendations * Work alongside product and engineering teams to deploy and oversee machine learning models in production environments * Create and sustain scalable dashboards and reports for real\-time business tracking * Design and improve data pipelines for large\-scale data ingestion, transformation, and integration * Establish, execute, and monitor success indicators for AI\-based features and digital transformation initiatives * Collaborate with stakeholders to translate data findings into strategic business actions **Requirements** * Proven data science expertise with 5\+ years in production settings * Solid grounding in statistics, probability theory, and experimental design * High proficiency in SQL and at least one programming language with machine learning libraries * Experience managing large datasets and working with distributed data processing systems * Strong skills in model evaluation, validation, and monitoring using offline and online metrics * Ability to create data visualizations and communicate effectively with executives * Understanding of MLOps practices and teamwork with data and platform engineering groups * Bachelor’s or Master’s degree in a quantitative discipline or equivalent experience * Upper\-Intermediate English language ability (B2\) **Nice to have** * Background in natural language processing, forecasting, recommendation systems, or anomaly detection * Knowledge of causal inference and A/B testing techniques * Practical experience with feature stores, real\-time data processing, or online ML systems * Familiarity with cloud data platforms and contemporary data warehouses * Experience mentoring others and contributing to cross\-functional projects **We offer** * Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non\-wages concept). * Medicina Prepaga (It covers the collaborator and direct family group). * Paternity Leave (Two additional days are added to what is established by law, total of 4 days). * Discounts card. * English Training (English lessons, twice per week). * Training Program (Access to multiple customized training plans according to the needs of each role within the company). * Marriage bonus (The company doubles the allowance established by law that ANSES offers). * Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company). * External Agreements and Discounts. * Vacations: 14 calendar days a year *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*