Data Scientist
- Buenos Aires
- Permanente
- Tiempo completo
- Play a central role in all stages of the data science project life cycle, including:
- Identification of suitable data science project opportunities
- Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and gather requirements
- Evaluation/interpretation of results and presentation to business leaders
- Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments
- Training large models both for experimentation and production
- Develop production-ready pipelines for enterprise-scale projects
- Perform code reviews & optimization for your projects and team
- Spearhead deployment and model scaling strategies
- Stakeholder management and representing the team in front of our leadership
- Leading and mentoring by example including project scrums- Collaborate with cross-functional teams and contribute to product strategy and roadmapsWhat We’re Looking For- 2+ years of professional experience in the Data Science domain
- Expertise in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF2, HuggingFace, etc.)
- Experience with state-of-the-art NLP models and text matching techniques, including sentence transformers, word embeddings, and similarity measures
- Expertise in probabilistic machine learning for classification, regression and clustering
- Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets
- Exposure to information retrieval, web scraping and data extraction at scale
- OOP design patterns, test-driven development and enterprise system design
- SQL (any variant; big data variant is a plus)
- Linux OS (bash tools and related utilities)
- Version control with Git, GitHub, or Azure DevOps
- Problem-solving and debugging skills
- Software craftsmanship, adherence to Agile principles and pride in writing good code
- Ability to communicate change to non-technical peopleNice to have- Prior work to show on GitHub, Kaggle, StackOverflow, etc.
- Cloud expertise (AWS and GCP preferably)
- Expertise in deploying machine learning models in cloud environments
- Familiarity with LLMsBenefits- Health & Wellness: Health care coverage designed for the mind and body
- Flexible Downtime: Generous time off helps keep you energized for your time on
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills
- Invest in Your Future: Competitive pay, retirement planning, continuing education with a company-matched student loan contribution, and financial wellness programs
- Family Friendly Perks: Perks for partners and children, with some best-in-class benefits for families
- Beyond the Basics: Retail discounts and referral incentive awardsJob Details- Location: Gurgaon, Haryana, India
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Information Technology
- Job ID: 315682
- Posted On: 2025-08-14Equal Opportunity EmployerS&P; Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. If you need an accommodation during the application process, please contact EEO.Compliance@spglobal.com.#J-18808-Ljbffr
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