1

Data Scientist Opt Jobs in Nevada (NOW HIRING)

Manager, Solutions Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

... data scientists to plan, design and implement AI experiments and solutions • Conduct hands on ... OPT, CPT or any other employment-based visa) Company : KPMG is one of the world's leading ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

JANITOR

Sparks, NV · On-site

$22/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

JANITOR

Sparks, NV · On-site

$22/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Data Scientist Opt information

What is a data scientist opt?

Data Scientists are professionals who use statistical analysis, machine learning, and programming skills to extract insights from large and complex datasets. They work across industries to help organizations make data-driven decisions, often by building predictive models and visualizations. Data Scientists typically have expertise in mathematics, statistics, computer science, and domain knowledge relevant to their field. Their work often involves cleaning and preparing data, exploring patterns, and communicating findings to stakeholders. As businesses increasingly rely on big data, the role of Data Scientists has become critical to unlocking actionable information from raw data.

What are the key skills and qualifications needed to thrive as a data scientist opt, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a relevant degree in computer science, statistics, or a related field. Experience with data analysis tools (such as Pandas, NumPy, and SQL), machine learning frameworks (like scikit-learn or TensorFlow), and data visualization platforms is typically required. Excellent problem-solving abilities, effective communication, and curiosity help Data Scientists translate complex data findings into actionable business insights. These skills ensure you can extract meaningful value from data and communicate results clearly to drive decision-making.

What are some typical challenges data scientist opts face when collaborating with cross-functional teams?

Data Scientists often work alongside engineers, product managers, and business analysts, which can present challenges in aligning technical solutions with business goals. Communication is key, as translating complex data insights into actionable recommendations for non-technical stakeholders can be demanding. Additionally, ensuring data quality and managing expectations about project timelines are common hurdles. Being adaptable and proactive in fostering collaboration helps Data Scientists succeed in these environments.

What is the difference between Data Scientist Opt vs Data Analyst?

AspectData Scientist OptData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentResearch and development teams, data-driven projects, advanced analyticsBusiness units, reporting, data visualization, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, finance, government agencies

Data Scientist Opt and Data Analyst roles share some foundational skills but differ mainly in complexity and scope. Data Scientist Opt focuses on advanced analytics, machine learning, and predictive modeling, while Data Analysts primarily handle data reporting and visualization. Both roles are essential in data-driven organizations but serve different purposes based on project complexity and technical requirements.

What cities in Nevada are hiring for Data Scientist Opt jobs?

Cities in Nevada with the most Data Scientist Opt job openings:

Manager, Solutions Architect

KPMG US

Las Vegas, NV • On-site

$60.25 - $79.25/hr

Full-time

Re-posted 9 days ago


Job description

Job Summary:
KPMG is a leading provider of audit, tax and advisory services known for its inclusive work culture and commitment to individual development. They are seeking a Manager for their AI Center of Excellence Solutions Architect role to establish AI architecture, collaborate with stakeholders, and implement AI solutions aligned with market developments.
Responsibilities:
• Help in establishing AI architecture and technology components that are in line with the latest developments in the marketplace; regularly review and update the architecture and components based on firm standards and alliance ecosystem changes
• Collaborate with stakeholders, developers, and data scientists to plan, design and implement AI experiments and solutions
• Conduct hands on experimentation with various ecosystem vendors and platforms including documenting technical specifications and results of the experiments
• Define the strategy and detailed architecture for Knowledge Assistants and AI Agents
• Identify the strategy, approach and architecture to evaluate AI systems and models incl automated tests, evals and benchmarks working closely with KPMG functions to implement the strategy
• Liaise with appropriate functional stakeholders (Audit, Tax & Advisory) to align AI technical guidance, components, and solutions with functional priorities
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum five years of recent experience in AI solutions development
• Bachelor's degree from an accredited college or university
• Strong experience preferably in the financial services industry and involved in efforts related to model training/tuning, performance evaluations incl published work
• Solid knowledge and understanding of AI technologies and methodologies; experience in designing and implementing AI experiments and solutions required
• Excellent collaboration and communication skills to work effectively with stakeholders, developers, and data scientists; ability to foster hyper-collaboration and enable a culture of continuous learning and skilling
• Familiarity with the latest developments in the AI marketplace and ability to adapt the architecture and components accordingly
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.