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Remote Computer Science Fresh Graduate Jobs in California

Learner Education

Online Science Tutor

Los Angeles, CA · Remote

$25/hr

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

Tilda Research

You have good understanding of foundational computer science concepts like design patterns, data ... We are a remote team, and your ability to write your thoughts out is critical. * You care about the ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Mercor

ML Research Scientist - PhD

San Francisco, CA · Remote

$60 - $100/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

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Decision Scientist II, Mobile

Santa Monica, CA · On-site +1

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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Remote Computer Science Fresh Graduate information

What is a remote computer science fresh graduate?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer science fresh graduate?

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are some common challenges remote computer science fresh graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.

What are the most commonly searched types of Computer Science Fresh Graduate jobs in California?

The most popular types of Computer Science Fresh Graduate jobs in California are:

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For Remote Computer Science Fresh Graduate jobs in California, the most frequently searched job titles are:

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The top searched job categories for Remote Computer Science Fresh Graduate jobs in California are:

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Remote Computer Science Fresh Graduate jobs near you

Staff Data Scientist, Notifications

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Posted 17 days ago

Job description

What you'll do:

  • Develop measurement frameworks and metrics to drive data-driven decision making, optimizing for the full user journey. Product recommendations. Clearly communicate recommendations to product and engineering leadership on how we can evolve our Notifications strategy to address shortcomings observed through deep analysis. Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement to our growth strategies. 
  • Thought partner to product, engineering, and ML leadership on the Notifications team to prioritize/scope projects and inform the development of the notifications user experience and corresponding ML systems. 
  • Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses. 
  • Leadership: Mentor the scope of work for other data scientists, demonstrating high-quality output of both yourself and others for whom you mentor.  

What we're looking for:

  • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
  • Strong background in statistics, machine learning, and/or experimentation
  • Expertise in at least one scripting language (ideally Python/R)
  • Proficiency in SQL/Hive
  • Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  • Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams through compelling data narratives. 
  • Experience working closely with cross-functional teams, iterating on a user product via A/B experimentation. 
  • Experience leading key technical projects and substantially influencing the scope and output of others
  • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

  In-Office Requirement Statement:

  •   We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  •   This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the country.

#LI-NM4

#LI-REMOTE

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