Data Scientist at PulseRise Technologies driving data - informed decisions in crypto payments infrastructure. Collaborating with product leaders and CFO for insights on user journeys and transaction flows.
About the role
- Data Scientist leveraging advanced analytics and machine learning for Gartner's Client Experience Digital Platform. Collaborating with cross-functional teams on data science projects while developing AI-powered tools.
Responsibilities
- Work on data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
- Build and enhance AI-powered chatbot capabilities to provide intelligent, context-aware client support
- Develop intelligent tools and systems that power conversational AI, including search, recommendation, and content retrieval capabilities
- Build user understanding and personalization models to identify client cohorts and tailor interactions
- Implement and optimize Model Context Protocol (MCP) servers to enable seamless integration between AI agents and enterprise systems
- Leverage internal and external data to understand client's company-level priorities and deliver targeted support
- Maintain high-quality data science solutions with proper documentation and code-reusability principles
- Stay on top of fast-moving AI/ML models and technologies, particularly in the LLM and conversational AI space
- Collaborate with engineering and product teams to launch MVPs and iterate quickly
- Independently plan and drive data science projects that deliver clear business value
Requirements
- 1-3 years hands-on experience building chatbots, conversational AI systems, or other machine learning/artificial intelligence applications to drive business impact
- Bachelor's or Master's Degree in a quantitative field (math, computer science, engineering, etc.) required
- Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies
- Working experience in some of the following data science areas: Large Language Models (LLMs) and Generative AI, Natural Language Processing and text mining, Conversational AI and chatbot development, Search and Recommendation systems, Prompt engineering and LLM fine-tuning, AI agent architectures and orchestration
- Familiarity with Model Context Protocol (MCP) and building tools for AI agents
- Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle
- Practical, intuitive problem solver with ability to translate business objectives into actionable data science tasks and implement latest ML research
- Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., huggingface, pytorch, tensorflow), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases, distributed machine learning (spark), Linux and shell scripting
- Experience with cloud computing services such as AWS or Azure ML
- Ability to work collaboratively across product, data science and technical stakeholders in a culture that thrives on feedback
- Bias for action and client outcome oriented.
Benefits
- Competitive salary
- Generous paid time off policy
- Charity match program
- Group Medical Insurance
- Parental Leave
- Employee Assistance Program (EAP) and more!
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Scientist at Navy Federal Credit Union providing data science and advanced analytics insights for decision - making. Collaborating with business units to optimize products and strategies.
Senior Data Scientist driving analytics and machine learning for b_labs at B.TECH. Collaborating with teams to innovate and support the company's goal of becoming a leading omni - channel platform in Egypt.
Data Scientist at SPG Resourcing analyzing data and shaping strategic direction. Collaborating across teams and developing data strategies to enhance products and services.
Junior Data Scientist supporting analytical projects to facilitate decision - making for companies in Brazil. Involves data preparation, cleaning, and preliminary analysis for effective insights generation.
Senior Data Scientist at Keyrus focused on advanced analytics and machine learning. Responsibility includes data structuring, analysis, and predictive modeling in a hybrid work setting.
Data Scientist in Klee Group's Data & AI team developing innovative AI solutions. Collaborating with clients and teams in a hybrid work environment with autonomy and support.
Data Manager role at DEDIENNE AEROSPACE focusing on Data Lake management and data governance. Involves collaboration with internal and external stakeholders for data quality and analytics.
Applied Data Scientist focused on operational analytics at Rowan Digital Infrastructure. Developing models and metrics to enhance reliability and decision making for data center solutions.
Data Scientist role at Nakupuna Solutions delivering end - to - end analytic solutions using Palantir Foundry for complex data challenges in strategic decision - making.