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Remote Data Science Startup Jobs in Nevada (NOW HIRING)

Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote ... Science, Physics, Automotive Technology, or a related technical field, or equivalent practical ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have leadership capabilities and interests. Work Locations: * Reno, NV * Sacramento, CA * United States - Remote ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have leadership capabilities and interests. Work Locations: * Reno, NV * Sacramento, CA * United States - Remote ...

Call Center Representative

Las Vegas, NV · Remote

$15.25 - $19/hr

We are looking for a Remote Call Center Representative to join our team. In this role, you will be ... Process prescription data entry with accuracy and precision, including new patient registrations ...

Senior Healthcare Analyst

Las Vegas, NV · Remote

$82K - $103K/yr

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely* as ... Bachelor's degree in Information Systems, Computer Science, Data Analytics, Finance, Mathematics ...

Location: Las Vegas, NV About Switch At Switch, we dont just design, build and operate data ... Support commissioning, startup, and deployment of new equipment across local and regional campuses.

Location: Las Vegas, NV About Switch At Switch, we don't just design, build and operate data ... Support commissioning, startup, and deployment of new equipment across local and regional campuses.

Remote (U.S. based; must be available during Pacific Time business hours) Pay: $60-70/hr This role ... Science or related field * 7+ years of experience in database programmingStrong knowledge of data ...

Showing results 21-40

Remote Data Science Startup information

What is a remote data science startup?

A Remote Data Science Startup is a company focused on developing data-driven solutions, analytics, or products, with a team that primarily works remotely rather than from a central office. These startups leverage data science techniques such as machine learning, statistical analysis, and big data processing to solve business problems or create innovative products. Employees collaborate using digital tools and platforms, allowing for flexible work arrangements and access to a global talent pool. Remote data science startups often serve various industries, including healthcare, finance, e-commerce, and technology.

What are some unique challenges of working as a data scientist at a remote startup, and how can I prepare for them?

Working as a data scientist at a remote startup often involves navigating ambiguous project requirements, rapidly shifting priorities, and a high degree of autonomy. You may find yourself balancing multiple roles, such as data engineering and analysis, especially when the team is small. Strong communication skills are essential for collaborating effectively across time zones and ensuring alignment with product and business goals. Preparing by developing self-management habits, proactively seeking feedback, and becoming comfortable with remote collaboration tools will help you thrive in this dynamic environment.

What are the key skills and qualifications needed to thrive at a remote data science startup, and why are they important?

To thrive at a remote data science startup, you need strong analytical skills, proficiency in statistics, and experience with programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, cloud platforms (e.g., AWS, GCP), and version control systems like Git is typically required. Exceptional self-motivation, communication, and collaboration skills are crucial to excel in a remote and fast-paced startup environment. These competencies enable you to deliver actionable insights, adapt to rapid changes, and collaborate effectively across distributed teams.

What are the most commonly searched types of Data Science Startup jobs in Nevada?

The most popular types of Data Science Startup jobs in Nevada are:

What are popular job titles related to Remote Data Science Startup jobs in Nevada?

For Remote Data Science Startup jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Remote Data Science Startup jobs?

Cities in Nevada with the most Remote Data Science Startup job openings:

Software Engineer, ML Dev Enablement

Las Vegas, NV • On-site, Remote

Motional
Motor Vehicle Manufacturing • 501 - 1,000 employees

Full-time

Re-posted 27 days ago


Job description

Mission Summary:

We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you'll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You'll Be Doing:

  • Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
  • Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
  • System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines. Focus on resolving system-level bottlenecks-such as data loading (I/O), memory management, and network communication overhead-to maximize GPU utilization and training throughput.
  • Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.

What We're Looking For:

  • BS or MS in Computer Science or related field
  • Strong knowledge of software engineering principles and distributed systems.
  • Strong proficiency with Python or Go or C++
  • Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
  • Experience with the various stages of the ML development lifecycle
Bonus Points:
  • Hands-on experience with ML model profiling and performance optimization for distributed training.
  • Experience managing or working with high-performance compute resources (GPUs).
  • Experience with ML frameworks such as PyTorch or Ray.
  • Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

 We encourage a hybrid schedule with in-office time at our Las Vegas location to support collaboration, or this role can be fully remote.