ZipRecruiter

Log In

1

Data Science Manager Jobs in Nevada (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Las Vegas, NV

$124K - $280K/yr

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

Deloitte

AI Data Engineer - Senior Consultant

Las Vegas, NV · Hybrid

$99K - $137K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... prompt/version management). * 4+ years of cloud experience on AWS/Azure/GCP (one or more ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

Property Management / Real Estate Technology Client: Fusion client - large, national property ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

Property Management / Real Estate Technology Client: Fusion client - large, national property ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Pwc

ERP AI Engineer - Manager

Las Vegas, NV · On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Deloitte

GCP Manager

Las Vegas, NV · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

ECF Data

Technical Project Manager

Las Vegas, NV · Remote

... data science, business stakeholders, and executives) to deliver solutions on time and within budget ... management processes to ensure smooth transition to AI-enabled systems and maximize user adoption ...

ECF Data, LLC

Technical Project Manager

Las Vegas, NV · Remote

$40/hr

Adept at managing full project lifecyclesfrom ideation through deploymentwhile ensuring alignment ... Coordinated cross-functional teams (engineering, data science, business stakeholders, and ...

Pwc

NGA AI Engineer Manager

Las Vegas, NV

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

next page

Showing results 1-20

All JobsData Science Manager JobsData Science Manager Jobs in Nevada

Data Science Manager information

See Nevada salary details

$31.6K

$98.9K

$175.1K

How much do data science manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data science manager in Nevada is $98,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $127,800.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Nevada? The most popular types of Data Science jobs in Nevada are:
What are popular job titles related to Data Science Manager jobs in Nevada? For Data Science Manager jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Nevada look for? The top searched job categories for Data Science Manager jobs in Nevada are:
What cities in Nevada are hiring for Data Science Manager jobs? Cities in Nevada with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Nevada as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $98,923 per year, or $47.6 per hour.
AVP, Artificial Intelligence

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV • On-site

Full-time

Posted 17 days ago

Job description

Description

Position Summary
The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.
Essential Job Functions
  • Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
  • Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
  • Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
  • Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
  • Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
  • Oversee model validation, explainability, bias testing, and audit readiness.
  • Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.
Position RequirementsCore AI Concepts and Technologies Required:
  • Machine Learning & Modeling
    • Supervised, unsupervised, reinforcement learning
    • Deep learning (CNNs, RNNs, Transformers)
    • Natural Language Processing (NLP) & LLMs
    • Generative AI (diffusion models, fine-tuning, RAG)
    • AI Engineering & MLOps
  • AI Engineering & MLOps
    • Model training, deployment, monitoring, and retraining
    • Feature stores, vector databases, and model registries
    • CI/CD pipelines for ML (MLOps)
    • GPU/accelerator compute architectures
  • Cloud & Infrastructure
    • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
    • Kubernetes, containerization, microservices
    • Data platforms (Databricks, Snowflake, Synapse)
  • Responsible AI & Governance
    • Model explainability (SHAP, LIME)
    • Fairness, bias detection, model risk controls
    • Privacy-preserving ML techniques (differential privacy, federated learning)
  • Programming & Tooling
    • Python, PyTorch, TensorFlow, JAX
    • LangChain, semantic search, vector embeddings
    • Prompt engineering & LLM orchestration frameworks
  • Excellent communication, problem-solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.
Preferred
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 5-8 + years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

Apply