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San Carlo Jobs (NOW HIRING)

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

... Monte Carlo methods * 5+ years of demonstrated experience developing and delivering effective ... Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully ...

Elevate Semiconductor

Analog Design Engineer

San Diego, CA · On-site

$214K/yr

This is a full-time, onsite position based in San Diego, CA. Responsibilities * Schematic design ... Monte Carlo and corner analysis. * Mixed signal simulation at chip level. * Contribute to the ...

Elevate Semiconductor

Analog Design Engineer

San Diego, CA · On-site

$214K/yr

This is a full-time, onsite position based in San Diego, CA. Responsibilities * Schematic design ... Monte Carlo and corner analysis. * Mixed signal simulation at chip level. * Contribute to the ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

... Monte Carlo methods * 5+ years of demonstrated experience developing and delivering effective ... Department Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully ...

General Atomics

Engineer I

Poway, CA · On-site

$62K - $105K/yr

This position is within the Flight Technologies department of GA-ASI in Poway, CA, in San Diego ... Monte Carlo analysis to parallel computing * visualizations scraping a database to compare ...

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

Monte Carlo analysis * * Data pipelines - continuous integration workflows, data models, SQL, Spark ... September 21, 2026 The San Francisco/Bay Area base hourly range for this internship position is $55 ...

Dolby

Acoustic Data Intern (Fall 2026)

San Francisco, CA · On-site

$55 - $62/hr

Monte Carlo analysis * * Data pipelines - continuous integration workflows, data models, SQL, Spark ... September 21, 2026 The San Francisco/Bay Area base hourly range for this internship position is $55 ...

Verkada

Senior Data Engineer

San Mateo, CA · On-site

$120K - $164K/yr

This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do * Engineer and ... Carlo and Great Expectations is a plus * Familiarity or experience building vector databases for ...

Industrious Ventures

Senior GNC Engineer

San Francisco, CA · On-site

$170 - $215/hr

Location San Francisco Employment Type Full time Department Software Compensation * 170K - 215K ... Develop tooling to automate control design, Monte Carlo, and simulation validation * Work closely ...

Focused Energy Inc

Optical Engineer, Digital Twin

Austin, TX · On-site

$127K - $165K/yr

Familiarity with Monte Carlo techniques * Interest in fusion energy, high-energy-density physics ... Pursuant to the San Francisco Fair Chance Ordinance, Focused Energy will consider for employment ...

Verkada

Staff Data Engineer

San Mateo, CA · On-site

This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do * Architect ... Carlo and Great Expectations is a plus * Familiarity or experience building vector databases for ...

Astera Labs

Principal Digital RTL Engineer

San Jose, CA · On-site

$185K - $240K/yr

San Jose, CA (Onsite) Role Overview As a Principal Engineer on our Analog/Mixed-Signal (AMS) Design ... Develop and execute simulation plans across PVT, Monte Carlo, and reliability corners to ensure ...

General Atomics

Engineer V

Poway, CA · On-site

$105K - $189K/yr

We have an exciting opportunity for an Aero Performance Engineer in the San Diego (Poway, CA) area ... Monte Carlo analysis. Experience with wind tunnel data uncertainty analysis preferred.

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All JobsSan Carlo Jobs

San Carlo information

What are the key skills and qualifications needed to thrive as a San Carlo restaurant server, and why are they important?

To thrive as a restaurant server at San Carlo, you need strong customer service skills, attention to detail, and experience in food and beverage service, often supported by prior hospitality roles or training. Familiarity with point-of-sale (POS) systems, reservation management software, and food safety certifications is typically required. Excellent communication, teamwork, and the ability to remain composed under pressure are standout soft skills for this position. These competencies ensure efficient service, customer satisfaction, and a positive dining experience in a busy restaurant environment.

What are the typical responsibilities and work environment for a role at San Carlo restaurants?

At San Carlo restaurants, team members are typically responsible for providing attentive customer service, assisting with food and beverage orders, and ensuring a clean and welcoming dining environment. The work environment is fast-paced and team-oriented, with staff collaborating closely to deliver a high-quality and authentic Italian dining experience. Employees often work in shifts, including evenings and weekends, and must be adaptable to changing customer volumes. There are opportunities for advancement into supervisory or management roles for those who demonstrate strong performance and leadership skills.

What are San Carlo jobs?

San Carlo jobs refer to positions at San Carlo, an Italian company best known for producing snacks such as potato chips, crisps, and other packaged foods. Employees may work in areas like production, quality control, logistics, sales, marketing, and administration. Working at San Carlo often involves roles in manufacturing plants or corporate offices, depending on the job. The company values teamwork, quality, and innovation, offering opportunities for career growth within the food industry.

What is the difference between San Carlo vs Chef?

AspectSan CarloChef
Required CredentialsCooking certifications, culinary trainingCooking certifications, culinary training
Work EnvironmentRestaurants, hotels, cateringRestaurants, hotels, catering
Industry UsageItalian cuisine, fine diningVarious cuisines, culinary establishments
Common Search/ComparisonYesYes

San Carlo and Chef roles both require culinary certifications and work in similar environments like restaurants and hotels. While San Carlo often refers to a specific restaurant or brand, a Chef is a broader role encompassing various cuisines and establishments. The main difference lies in San Carlo being a specific restaurant name, whereas Chef is a general profession in the culinary industry.

More about San Carlo jobs
What cities are hiring for San Carlo jobs? Cities with the most San Carlo job openings:
What states have the most San Carlo jobs? States with the most job openings for San Carlo jobs include:
What job categories do people searching San Carlo jobs look for? The top searched job categories for San Carlo jobs are:
San Carlo jobs near you
Infographic showing various San Carlo job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 22 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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