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Live In Nhl Data Science Jobs in Georgia (NOW HIRING)

... in a live video interview with members of our hiring team. This interview focus on roleplaying interactions with a data science business partner and interpreting code and graphical outputs. 3. The ...

Implementing solutions in either client or Kaizen environments Capabilities for Success: Candidate ... Coordinate teams of analysts/data scientists/software engineers in performing and implementing high ...

Model Productionization : 4+ years of experience in deploying Data Science models from a development environment to a live application where it serves real-world predictions * AI Orchestration: 2+ ...

Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

In order for your application to be correctly processed please sign-in before you apply Internal ... Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ...

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Rooted in over 35 years of rich data insights, the company's portfolio of solutions enables ... Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play ...

Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team members. * Contributes to the strategic direction of the data science function within ...

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Masters or Ph.D. is a plus. * 5 to 10 years of experience in data science, including machine ...

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Well-rounded background in data science methods (e.g., supervised and unsupervised learning, anomaly detection, time series forecasting, survival analysis, simulation, optimization, causal analysis)

Showing results 21-40

Live In Nhl Data Science information

What is the difference between Live In Nhl Data Science vs Live In Nhl Data Analysis?

AspectLive In Nhl Data ScienceLive In Nhl Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or sports analytics companiesOperational settings, sports teams, or media outlets focusing on game insights
Employer & Industry UsageTech firms, sports analytics companies, NHL organizationsSports teams, media outlets, NHL organizations

Live In Nhl Data Science involves advanced analytics, machine learning, and predictive modeling to analyze NHL data, while Live In Nhl Data Analysis focuses on interpreting data for insights, reporting, and decision-making. Both roles require familiarity with NHL data but differ in technical complexity and scope.

What are the most commonly searched types of Nhl Data Science jobs in Georgia? The most popular types of Nhl Data Science jobs in Georgia are:

Full-time

Re-posted 26 days ago


AIG rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

116th of 303 rated insurance


Job description

Be part of something groundbreaking
At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help.
With the support and investment needed to explore new frontiers in generative AI, you'll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers.
This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build and scale world-class products. If you're excited by the opportunity to create meaningful impact, we'd love to hear from you.
Who we are
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions.
At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation.
How you will create impact
As a Manager of Data Science at AIG, you will play a critical role in building and overseeing a team of data scientists tasked with delivering impactful, enterprise-level generative AI solutions. We are an applied data science team operating in an agile, production-oriented environment, and we are seeking someone with extensive hands-on experience. Candidates with only managerial or architecture backgrounds should not apply.
Your Responsibilities
  • Oversee the development and delivery of data science and generative AI solutions aligned with business requirements, monitor solutions in production.
  • Develop technical delivery plans and execute them to ship solutions on time.
  • Mentor and develop junior data scientists.
  • Collaborate with cross-functional teams including product managers, engineers, and business leaders.
  • Build evaluation frameworks to measure LLM effectiveness, ground-truth dataset quality, and guide the product development roadmap.

What is Needed to be Successful
  • 7+ years of experience in a data science role-preferably in NLP-in an agile, production-oriented environment.
  • 3+ years of experience managing teams of data scientists and/or engineers.
  • 2+ years of hands-on experience building generative AI solutions: prompt engineering, RAG and agentic frameworks, validation pipelines, and observability and monitoring solutions.
  • Experience on the Palantir platform or demonstrated certification is preferred.
  • Ph.D. or Master's in Data Science, Computer Science, or a related field.

Added Bonus / Preferred Qualifications
  • Ontology Mastery: A strong understanding of Ontology-specifically how to map complex real-world data entities and relationships into a digital twin framework to power AI applications.
  • Large-scale Data Infrastructure: Strong understanding of performance optimization in big data environments, with hands-on experience using distributed data processing frameworks such as Apache Spark or PySpark.
  • Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.

Required Competencies
  • Ability to thrive in a fast-paced, high-stakes environment.
  • Clear communicator and effective collaborator within and across teams.
  • Able to operate as both a hands-on practitioner and a people manager.
  • Highly technical, with a strong bias for execution.

Ready to set new industry standards? We would love to hear from you.
Veterans are encouraged to apply.
#LI-RG2 #LI-AIG #AI #GenAI #artificialintelligence #DataScience #BigData
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.
Enjoy benefits that take care of what matters
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family.
Reimagining insurance to make a bigger difference to the world
American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.
Welcome to a culture of inclusion
We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.
Functional Area:
DT - Data
AIG PC Global Services, Inc.

What AIG employees say

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About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919