Sr Data Scientist (AI)

TL;DR

Sr Data Scientist (AI): Working on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities. Focus on staying on top of fast-moving AI/ML models and technologies, and independently planning and driving data science projects that deliver clear business value.

Company

hirify.global delivers actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

What you will do

• Work on Data science projects in close collaboration with cross-functional teams to deliver high value business capabilities.
• Develop intelligent tools and systems that power conversational AI, including search, recommendation, and content retrieval capabilities.
• Build user query understanding and intent refinement models to refine query to content similarity.
• Maintain proper documentation and code-reusability principles.
• Pitch ideas, present solutions, and influence senior leaders with strong business value propositions.
• Collaborate with engineering and product teams to launch MVPs and iterate quickly.

Requirements

• 6–8 years of hands-on experience designing and developing agentic AI applications utilizing MCP servers, advanced search systems, or other machine learning/artificial intelligence solutions to deliver measurable business impact.
• Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred.
• Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies.
• 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), Graph database, vector databases, distributed machine learning (spark), Linux and shell scripting
• Experience with cloud computing services such as AWS, GCP or Azure ML.
• Ability to work collaboratively across product, data science and technical stakeholders in a culture that thrives on feedback.

Culture & Benefits

• hirify.global offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
• In a hybrid work environment, flexibility and support is provided to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.