Internship in Data Science and AI at Ekimetrics focusing on data - driven marketing solutions. Join a team to analyze data, develop models, and improve business performance.
About the role
- Staff Engineer pivotal for AI-driven enterprise revenue solutions at Clari + Salesloft. Join a growing team in Bengaluru contributing to cutting-edge cloud-based technologies.
Responsibilities
- Define the long-term roadmap for our Applied AI stack
- Lead the design and implementation of production-grade Agentic workflows and RAG systems
- Own the core revenue models (Forecasting, Deal Health, Churn Prediction)
- Write high-quality, reusable Python code
- Partner with Product and Engineering leadership to translate vague business objectives into concrete technical specifications
- Mentor senior data scientists, conduct code/design reviews
- Contribute actively to internal documentation, onboarding, and training programs
Requirements
- 10+ years in Data Science or Machine Learning, with a proven track record of shipping AI products at scale (Staff/Lead experience preferred)
- Deep expertise in Classical ML (XGBoost, Causal Inference), Time-Series Forecasting, and Deep Learning fundamentals
- Practical experience building with LLMs in production
- Proficiency with modern frameworks (LangChain, LlamaIndex, DSPy), vector databases (Pinecone, Milvus)
- Expert-level proficiency in Python and SQL
- Ability to design end-to-end ML systems
- MS or PhD in Computer Science, Statistics, Physics, Math, or equivalent quantitative field is preferred
Benefits
- Equal Opportunity Employer
- Inclusive and supportive workplace
- Employment opportunities to all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law
- AI notetaker in interviews
- Use of AI tools to assist in hiring process
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist applying machine learning and statistical models for HP's Enterprise Planning & Analytics team. Leading diverse data projects focused on demand planning and forecasting.
Data Scientist developing AI/ML models for Hummingbird. Collaborating with stakeholders to enhance data - driven business solutions.
Lead Data Scientist collaborating with teams to develop analytic solutions for financial services clients. Delivering insights and fostering relationships to drive B2B customer value.
Data Scientist Economist responsible for creating new economic indicators and analyzing macro/micro trends. Focused on the insurance sector with emphasis on client advisory services.
Senior Data Scientist III leading design and validation of AI - driven capabilities. Collaborating with engineers to create scalable, customer - facing solutions in the legal domain.
Senior Data Scientist II at LexisNexis developing AI - driven capabilities for legal technology. Designing and validating solutions using machine learning, NLP, and large language models for legal workflows.
Head of Data Strategy & Access at Method, connecting financial accounts to services. Drive critical data access negotiations with financial institutions while innovating the user experience.
Customer Data Lead overseeing client - specific data operations for CUBE's regulatory data services. Ensuring best - in - class data services across North America.
Advanced Data Scientist developing in - house and third - party analytical systems at Honeywell. Leverage AI - ML models and data mining techniques to enhance security insights.