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G R Jobs in Santa Clara, CA (NOW HIRING)

Proficiency in process modeling and simulation tools such as Aspen Plus, SuperPro Designer, COMSOL, or DynoChem; and proficient with data analytics or scripting tools (e.g., R, JMP, Python). Strong ...

R, SQL, S-Plus, etc.) * 6+ years' experience with a general-purpose programming language (e.g. Python, Scala, etc.) * Expert knowledge and hands-on experience with ML pipelines, processes, and design ...

R, SQL, S-Plus, etc.) * 6+ years' experience with a general-purpose programming language (e.g. Python, Scala, etc.) * Expert knowledge and hands-on experience with ML pipelines, processes, and design ...

R, SQL, S-Plus, etc.) * 6+ years' experience with a general-purpose programming language (e.g. Python, Scala, etc.) * Expert knowledge and hands-on experience with ML pipelines, processes, and design ...

Data Scientist, Fire TV

Sunnyvale, CA · On-site

$157 - $213/hr

SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience * 3+ years of machine learning/statistical modeling data analysis tools and ...

Posted today

Python), and/or statistical/mathematical software (e.g. R) Preferred Qualifications: * Master's or Ph.D. Degree in a quantitative field * Demonstrated ability to integrate AI tools to optimize ...

Data Scientist - TikTok Ads

San Jose, CA · On-site

$179K - $353K/yr

R, Python, MATLAB) and database languages (e.g. SQL) - Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. - Demonstrated skills in selecting the ...

Background in at least one programming language (e.g., R, Python, Scala). * Experience in applied statistics and statistical modeling in at least one statistical software package. * Experience ...

Showing results 21-40

G R information

See Santa Clara, CA salary details

$17

$27

$42

How much do g r jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for g r in Santa Clara, CA is $27.54, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $29.90 per hour, depending on experience, location, and employer.

What is a g r?

G R typically refers to 'Guest Relations' professionals, who are responsible for ensuring guests have a positive experience in hospitality settings such as hotels, resorts, and event venues. Their duties include greeting guests, handling complaints or special requests, providing information, and coordinating with other departments to meet guest needs. Guest Relations staff play a key role in maintaining customer satisfaction and building loyalty by addressing concerns promptly and professionally. The position often requires excellent communication skills, patience, and the ability to multitask in a fast-paced environment.

What are the key skills and qualifications needed to thrive as a general recruiter, and why are they important?

To thrive as a General Recruiter, you need a solid understanding of talent acquisition processes, candidate evaluation, and often a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (ATS), HRIS platforms, and sourcing tools like LinkedIn Recruiter is typically required. Exceptional interpersonal, organizational, and negotiation skills help recruiters build strong relationships with both candidates and hiring managers. These abilities are crucial for efficiently matching top talent to organizational needs, ensuring a positive hiring experience, and supporting overall business growth.

What are some common challenges faced by g r professionals in their day-to-day work?

G R professionals often encounter challenges such as managing multiple stakeholder expectations, keeping up with evolving industry regulations, and ensuring effective communication across departments. Balancing deadlines while maintaining high-quality results can be demanding, especially in fast-paced environments. Additionally, adapting to new technologies and continuous learning are essential for success in this role.

What is the difference between G R vs Customer Service Representative?

AspectG RCustomer Service Representative
Required credentialsHigh school diploma or equivalent; some roles may require technical certificationsHigh school diploma or equivalent; customer service training often preferred
Work environmentCall centers, retail, or service industriesCall centers, retail stores, or corporate offices
Employer and industry usageRetail, telecommunications, hospitalityRetail, telecommunications, banking, and service sectors
Common search and comparison intentUnderstanding job roles, requirements, and career pathsCustomer interaction, problem-solving, and communication skills

G R and Customer Service Representative roles often share similar work environments and industry usage. While G R may focus more on specific technical or operational tasks, both roles require strong communication skills and customer interaction. The main difference lies in the specific job functions and certifications needed, with G R roles often involving more technical knowledge depending on the industry.

What cities near Santa Clara, CA are hiring for G R jobs?

Cities near Santa Clara, CA with the most G R job openings:

Infographic showing various G R job openings in Santa Clara, CA as of July 2026, with employment types broken down into 82% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $57,273 per year, or $27.5 per hour.

Machine Learning Scientist 5 - Localization

Netflix

Los Gatos, CA

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Build causal and machine learning models to evaluate the impact of localization algorithms.

  • Partner with teammates to support localization algorithm strategy and measure localization member impact.

  • Present research and insights related to localization data science to various levels of the company.


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are looking for an experienced Machine Learning Scientist to join our growing team. In this role, you will build causal and machine learning models to evaluate the impact of localization algos, partner with teammates to support localization algo strategy, and train supervised ML models for localization use cases. You will also partner with a talented cross-functional team of engineers, scientists, product managers, and domain experts to shape localization strategy and deliver business impact.

Responsibilities Act as strategic partner for researchers and engineers to guide localization algo development Define and execute on roadmaps for measuring localization member impact and improving localization member experience with Causal Inference and Machine Learning tools Partner closely with other business leaders, product managers, and other data scientists to refine and scale your findings Present your research and insights to all levels of the company Become a regional expert on Localization Data Science and Engineering, helping educate and connect with regional offices About you Proven track record of researching and leading Causal Inference, Machine Learning, and AI Evaluation methods in ambiguous and complex areas with a focus on technical rigor and robustness High proficiency in standard tech stack (e.g., R, Python, SQL), Causal Inference (e.g., propensity score matching, double machine learning), and Machine Learning (Supervised Learning, LLM Evaluation methods) 4+ years of relevant experience with Causal Inference and Machine Learning applications Exceptional communication and collaboration skills coupled with strong business acumen Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process Netflix culture resonates with you Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off

Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment.

Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.


What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997