Lead Data Scientist @ Gartner | Jobright.ai
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Gartner · 3 days ago

Lead Data Scientist

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Business DevelopmentConsulting
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H1B Sponsorship
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Growth Opportunities

Insider Connection @Gartner

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Build state of the art search and recommendation products
Training and deploying transformer-based language models to aid in information retrieval, including cross-encoders, bi-encoders, classification, extraction, and generative models.
Leverage generative AI for internal and client facing applications.
Productionize deep learning models using scalable inferencing solutions.
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.
Collaborate with engineering and product teams to launch MVPs and iterate quickly.
Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize ideas.
Independently plan and drive data science projects that deliver clear business value.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine LearningScikit-LearnPyTorchHuggingfaceLLMsOpenAIAnthorpicLlamaSOLRElasticCloud ComputingAWSAzure MLML ResearchLean Product PrinciplesSoftware Development LifecycleProblem Solving CommunicationCollaborationAdaptability

Required

Master’s Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.
5+ years hands-on experience building search engines, recommendation systems, or other machine learning/artificial intelligence applications in production settings.
Excellent coding skills with Python machine learning tools (e.g., scikit-learn, pytorch, huggingface)
Experience using LLMs (e.g., OpenAI, Cohere, Anthorpic, Llama, etc) to deliver business outcomes.
Proficiency with text and vector based search tools, such as SOLR or Elastic.
Experience with cloud computing services such as AWS or Azure ML
Ability to implement latest ML research to improve our current algorithms.
Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and production outcomes.
Strong communication skills in technical and business domains.
Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle.
Ability to work collaboratively across product, data science and technical stakeholders.
Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone.
Bias for action and client outcome oriented

Benefits

Generous PTO
401k match up to $7,200 per year
Opportunity to purchase company stock at a discount

Company

Gartner provides fact-based consulting services, helping clients use and manage IT to enhance business performance.

H1B Sponsorship

Gartner has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (39)
2022 (76)
2021 (89)
2020 (68)

Funding

Current Stage
Public Company
Total Funding
unknown
1993-10-15IPO· nyse:IT

Leadership Team

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Christine Tenneson
Vice President Analyst, Tech CEO Research and Advisory Services
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Eugene Hall
CEO
Company data provided by crunchbase
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