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Data Science In Oil Gas Jobs in Connecticut (NOW HIRING)

Gartner

Sr Data Scientist

Stamford, CT · On-site

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

The Hartford

Sr. Product Owner, Data Science

Hartford, CT · On-site +1

$111K - $166K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related quantitative field; Master's degree preferred. * 7+ years of experience in product management, with at least 3 ...

New

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 3 years in data analytics * 2 years programming experience ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Provide support and guidance to others who are at earlier stages in their data science or AI journey. Qualifications Qualifications: 4-7 years of relevant actuarial, technical, or research experience.

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Data Science In Oil Gas information

What is the difference between Data Science In Oil Gas vs Petroleum Engineer?

AspectData Science In Oil GasPetroleum Engineer
Required CredentialsDegree in Data Science, Computer Science, or related fields; proficiency in programming and analytics toolsDegree in Petroleum Engineering or related engineering fields; engineering licenses may be required
Work EnvironmentOffice settings, data centers, or remote; focus on data analysis and modelingFieldwork and office; focus on drilling, reservoir management, and production
Industry UsageAnalyzing exploration data, optimizing production, predictive maintenanceDesigning drilling operations, reservoir evaluation, and production strategies

While both roles operate within the oil and gas industry, Data Science In Oil Gas primarily focuses on data analysis, modeling, and predictive analytics to optimize operations. Petroleum Engineers are more involved in designing and implementing physical extraction processes. Both roles require industry-specific knowledge but differ significantly in their daily tasks and skill sets.

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Sr Data Scientist

Gartner

Stamford, CT • On-site

Other

Medical, Retirement, PTO

Re-posted 6 days ago

Job description

About the role:

Join our dynamic BTI Data Science team and help transform Gartner's research content & insights operation. In partnership with our PMO and IT organizations, you will help build the AI applications and systems that empower our Expert Analysts to perform their work with unprecedented efficiency and depth.

As a Senior Data Scientist, you will lead complex AI and data science projects in partnership with cross-functional teams and their leaders, steering the development of advanced agent systems and agentic workflows to create intelligent, scalable solutions that deliver tangible value and enhance every step of the Analyst's journey. You'll architect and implement cutting-edge agentic AI solutions while ensuring seamless integration with enterprise platforms.

What you will do

  • Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities
  • Architect and build sophisticated agent systems and agentic workflows that provide intelligent, personalized Analyst experiences at scale
  • Design and implement advanced AI tools that facilitate human-in-the-loop content planning, content production, and insights creation, prioritizing our Analysts' expertise
  • Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
  • Build user profiling and personalization models to deliver tailored chatbot experiences
  • Be accountable for high-quality AI and data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
  • Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
  • Leverage internal and external data to understand Analysts' priorities and deliver targeted support
  • Collaborate with leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
  • Pitch ideas, present solutions, and influence senior leaders and stakeholders with strong business value propositions
  • Stay on top of fast-moving AI/ML models and technologies, particularly related to LLMs, multi-agent systems, agentic workflows, agentic RAG, deep agents, emerging AI architectures, and emerging generative UI/UX solutions
  • Collaborate with engineering and product teams to launch MVPs, iterate quickly, and drive solutions toward production
  • Independently plan and drive complex data science projects that deliver measurable business value (and measure that value/ROI)
  • Mentor junior data scientists in AI Engineering, LLM app development, and best practices

What you will need

  • 6-8 years of hands-on experience in advanced ML engineering and enterprise tool/product development, including at least 2 years deploying and managing LLMs in production, and over 1 year designing and implementing agents and multi-agent systems for enterprise business applications.
  • Bachelor's degree required; Master's or PhD preferred. While degrees in mathematics, computer science, engineering, or other quantitative fields are advantageous, candidates with a strong academic background in the humanities or other fields who also have relevant experience in quantitative methods, natural language processing (NLP), or artificial intelligence (AI) are encouraged to apply.
  • Strong communication skills in technical and business domains with demonstrated ability to translate ML/AI technology solutions into actionable business strategies and influence executive leadership
  • Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face), LLM & Agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (Spark), AI evals and observability solutions
  • Working experience in some of the following AI and data science areas:
    • Large Language Models (LLMs) and Agentic AI
    • Prompt Engineering, Context Engineering, Harness Engineering
    • Conversational AI, chatbot development, and dialogue systems
    • Natural Language Processing and text mining
    • Search and Recommendation systems
    • LLM fine-tuning, and model optimization
    • AI agent architectures, orchestration, and observability
  • Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
  • Strong understanding of Lean product principles, software development lifecycle, and ML/AI life cycle
  • Proven ability to translate business objectives into actionable AI and data science tasks and implement state-of-the-art ML/AI research into production systems
  • Experience with cloud computing services such as AWS or Azure ML
  • Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
  • Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
  • Bias for action and user and customer-outcome oriented

What you will get

  • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
  • Collaborative, team-oriented culture that embraces diversity
  • Professional development and unlimited growth opportunities

#LI-NG2

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you 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.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email toApplicantAccommodations@gartner.com.

Job Requisition ID:109601

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Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy


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