Senior Data Scientist
4 weeks ago
About Gartner IT:
We're seeking a skilled Data Scientist to join our world-class team of engineers who build creative digital solutions to support our colleagues and clients. Our team values innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
About this role:
This Software Development position requires experience in NLP and is responsible for designing, implementing, and supporting the development and deployment of algorithms and Python-based applications to help fulfill our Research & Consulting Delivery strategy.
Key Responsibilities:
- Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs.
- Lead architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives.
- Continuously improve models through experimentation and optimization techniques.
- Stay up to date with the latest advancements in NLP and machine learning to contribute to the continuous improvement of the organization's technical capabilities.
- Use a combination of quantitative and qualitative methodologies to prioritize ideas.
- Leverage generative AI for internal and external applications.
- Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption.
- Mentor junior members of the team on effective technical practices and non-technical acumen.
- Create Data Science packages and APIs for use across the organization.
Requirements:
- 4-6 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning, and natural language processing.
- Ability to provision packages and APIs for production data science code.
- Education qualification as a graduate or postgraduate degree in Engineering or Data Science is required.
- Experience in machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
- Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes.
- Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption.
- Demonstrated ability to translate quantitative analysis into actionable business strategies.
- Ability to work collaboratively across product, data science, and technical stakeholders.
About Gartner:
Gartner is a world-leading research and advisory company that helps organizations navigate the complexities of the digital age. Our mission is to empower leaders to make informed decisions that drive business success.
What We Offer:
Gartner offers a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development. We're committed to creating a diverse and inclusive work environment that values innovation, creativity, and collaboration.
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