1

Live In Nhl Data Science Jobs (NOW HIRING)

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... Candidates must live in the immediate area or relocate at their own expense. Travel: Position may ...

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... Candidates must live in the immediate area or relocate at their own expense. Travel: Position may ...

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering ... Candidates must live in the immediate area or relocate at their own expense. Travel: Position may ...

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

Required : • 3+ Years of experience • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field • Strong programming skills in Python or R • Experience ...

New

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

Data Science Tutor

CT · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ...

next page

Showing results 1-20

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 cities are hiring for Live In Nhl Data Science jobs? Cities with the most Live In Nhl Data Science job openings:
What are the most commonly searched types of Nhl Data Science jobs? The most popular types of Nhl Data Science jobs are:
What states have the most Live In Nhl Data Science jobs? States with the most job openings for Live In Nhl Data Science jobs include:
Data Scientist (Data Science)

Data Scientist (Data Science)

Boeing

Seattle, WA • On-site

Full-time

Medical, Life, Retirement

Posted 16 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 583 frontline employees who took The Breakroom Quiz

34th of 511 rated manufacturers


Job description

Data Scientist (Data Science)

Company:

The Boeing Company

Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Mid-Level Data Scientist - GenAI to join our team located in Seattle, WA or Arlington, VA.

We are seeking a skilled and innovative Data Scientist to contribute to the development and optimization of advanced AI, Machine Learning (ML), and Generative AI (GenAI) models within BDS. This role offers the opportunity to learn and grow your skills in ML and large language models (LLMs). You will work closely with senior data scientists and cross-functional teams to contribute to AI-driven applications in our organization.

Successful candidates will have:

  • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience in developing GenAI solutions in regulated industries.
  • Familiarity with GPU compute infrastructure and distributed model training.
  • Familiarity with container technologies (e.g., Docker, Kubernetes).

Why Join Us:

  • Shape the direction of generative AI in a mission-critical organization.
  • Collaborate with a world-class team of engineers, scientists, and domain experts.
  • Access to cutting-edge infrastructure, models, and research partnerships.
  • Competitive compensation and leadership opportunities in the AI domain.

Position Responsibilities:

  • Contribute to the development and deployment of models.
  • Design and implement pipelines for model fine-tuning and evaluation.
  • Develop prompt engineering strategies and embedding techniques to enhance model performance.
  • Prototype applications that address specific business needs.
  • Assist in model performance evaluation and bias/fairness assessments.
  • Collaborate with MLOps and engineering teams to support model scaling and monitoring.
  • Share knowledge of AI/ML/GenAI tools and trends with the team and contribute to best practices.

This position is hybrid. The selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

This position is for 1st shift.

This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skills/Experience):

  • Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field.
  • 3+ years of experience in data science or machine learning.
  • 3+ years of experience in programming in Python and familiarity with data engineering workflows (e.g., Spark, Airflow, SQL).

Preferred Qualifications (Desired Skills/Experience):

  • Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
  • Experience fine-tuning open-source models and integrating APIs from commercial providers.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience in AI ethics and governance in generative models.
  • Experience with data engineering tools (e.g., SQL, Spark

Typical Education/Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience, 9 years' related work experience, etc.).

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Travel:

Position may require travel up to 10% of the time.

Drug Free Workplace:

Boeingis a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range:

$137,700-$186,300

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

EEO is the law

Boeing EEO Policy

Request an Accommodation

Applicant Privacy


Boeing Participates in E - Verify

  • E-Verify (English)
  • E-Verify (Spanish)

Right to Work Statement

  • Right to Work(English)
  • Right to Work(Spanish)

What Boeing employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom