Data Technician jobs in United States, Nevada, Las Vegas

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 9 years of years of experience in Electrical, Mechanical/HVAC, or controls experience in an industrial/commercial environment.
• 5 years of experience in a data center or facilities environment.

• Bachelor’s degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Engineering Management, or Reliability Engineering, or a related field.
• Experience with Reliability Centered Maintenance and in Engineering.
• Experience communicating effectively with all levels of the organization, including executives.
• Ability to forecast resource requirements in a data-driven way.

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 9 years of years of experience in Electrical, Mechanical/HVAC, or controls experience in an industrial/commercial environment.
• 5 years of experience in a data center or facilities environment.

• Bachelor’s degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Engineering Management, or Reliability Engineering, or a related field.
• Experience with Reliability Centered Maintenance and in Engineering.
• Experience communicating effectively with all levels of the organization, including executives.
• Ability to forecast resource requirements in a data-driven way.

• 5 years of experience in managing, sourcing, or procuring business resources and vendors.
• 5 years of experience in co-ordinating or managing resources for data center locations, and leading operational or project based work and tasks.
• Experience with security technologies such as CCTV, access control, incident management systems or security operations centers.
• Experience managing technical and non-technical groups to drive business outcomes.
• Experience with corporate physical security.

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in developing and deploying processes to mitigate risk.
• 2 years of experience in co-ordinating, leading security, and planning security operations or strategy for security programs.
• 2 years of experience managing incidents and crises.
• 2 years of experience with data center technologies, infrastructure, and methodologies.
• Experience managing a geographically dispersed contracted workforce.

• Bachelor's degree in a technical field or equivalent practical experience.
  
• 5 years of experience in computing infrastructure, networking, operating systems, or hardware.
  
• 2 years of experience managing technical teams, vendor or contract management and delivery.
  
• Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.

• Experience leading and managing projects from initiation to completion and directing operations management initiatives.
• Experience working in data center environments, including building and operating infrastructure, network, compute architecture, lifecycle, and Linux/Unix system administration.
• Experience with developing network architecture.
• Experience with initiating and executing initiatives in a global environment.
• Ability of leading and improving Environmental Health and Safety initiatives.

Job Category

Job Details

As the Manager of Strategic Planning, you will play a pivotal role in shaping the long-term direction of our Customer Success organization. You will be responsible for independently driving the development of a strategic point-of-view on critical business topics, as well as guiding the design of strategic initiatives. Your ability to develop a strong perspective on “big bets” for our business via the synthesis of data-driven insights and internal & external research and your individual business judgement, as well as your ability to collaborate with senior stakeholders, will be key to your success in this role. You will work in a dynamic and cross-functional environment, focusing on a strategic planning period of 2-5 years into the future.Key Responsibilities

• Data Analysis and Interpretation:Conduct analysis of large and complex datasets to extract meaningful insights for CSG. Interpret data trends, patterns, and anomalies to inform strategic decision-making.

• Data Analysis: Perform detailed data analysis and develop complex data models to derive actionable insights and support decision-making processes.

• Dashboard Development and Maintenance: Design, develop, and maintain interactive dashboards and reports using Tableau.

• Data Cleaning and Preprocessing:Clean and preprocess raw data to ensure its quality, completeness, and usability for analytical purposes and collaborate with cross-functional teams to define data preprocessing pipelines.

• Feature Engineering:Identify and create relevant data features to enhance model performance and accuracy. Work closely with domain experts to extract valuable insights and incorporate to improve data processes.

• Reporting: Prepare comprehensive reports for executive leadership and stakeholders, effectively communicating trends, patterns, and predictions through clear and insightful visualizations and narratives.

• Collaborative Problem Solving:Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions. Work cross-functionally with engineering, product, and business teams to integrate data science solutions into existing systems.Build relationships, frame up key business decisions and influence stakeholders in order to achieve leadership buy-in and drive effective change management.

• Shape and Manage Strategic Initiatives:
  

While this role is an individual contributor (IC) role, you will be expected to exert influence and collaborate with various teams to drive the successful definition and planning of strategic initiatives. You will work closely with the following teams and individuals:

• Data & Analytics Resources:Partner with data and analytics team members to interpret data analyses and identify data-driven insights to ultimately drive strategic planning and inform executive decision-making.

• Internal Cross-Functional Experts:Work across various teams and individuals to uncover business context, gather insights, align stakeholders and understand high-level operational requirements around POVs & initiatives. This internal network will be key to transforming a big bet from a theoretical POV into the rhythm of the business.

• Project/Program Management:Collaborate with project and program managers to ensure the effective planning, design and delivery of strategic initiatives.

• ExternalConsultants/Research:Work with external consultants responsible for developing strategic recommendations and/or research firms identifying benchmarks and industry best practices. Translate their findings into actionable plans.
  

Role Requirements

• Master’s degree in Data Science, Economics, Finance, Math/Statistics or a related field. PhD preferred.

• Experience:A minimum of 5-7 years of professional experience in roles requiring data, business analytics, financial due diligence, strategic planning and business acumen. Background as an engagement manager in Big 4, management consulting or strategy highly preferred.

• Technical expertise: regarding data models, database design development, data mining, and segmentation techniques.

• Proficiency with databases (SQL, etc.).

• Strong knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, Python/R etc.)

• Experience with data visualization tools (e.g., Tableau).

• Self-Driver:Proven ability to synthesize multiple sources of information into compelling strategic point of view. Comfortable working in a fast-paced, evolving and occasionally ambiguous environment.

• Stakeholder Engagement:Strong interpersonal and communication skills, collaborating effectively with senior stakeholders, communicating complex topics using simple language and building organizational consensus.

• Analytical Skills:Familiarity with data and analytics concepts, able to work with data professionals to translate data-driven insights into actionable recommendations.

• Cross-Functional Collaboration:

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Posting Statement

Job Category

Job Details

• Role Description: As a Strategic Data Scientist, you will own the end-to-end design, development, and production deployment of advanced AI and data-driven solutions. You’ll build scalable machine-learning models with large, heterogeneous datasets to solve complex business challenges and provide proactive, data-driven guidance to our Customer Success organization.Key Responsibilities:

  • Collaborate with customer success, product, engineering, and sales teams to define KPIs and analytical approaches that answer key business questions

  • Design, build, and deploy machine learning and AI models (classification, regression, NLP, recommendation engines, etc.) to identify at-risk customers, predict attrition, and assess impact of product offerings

  • Develop customized recommendation engines that suggest next-best actions for customers (collaborative filtering, content-based, hybrid, graph-based techniques, etc.)

  • Drive the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, testing, and automated retraining workflows

  • Architect high-performance data pipeline for massive, multi-source datasets (streaming, batch, semi-structured), ensuring optimal storage, fast query performance, and high data integrity in hybrid cloud environments

  • Monitor production model performance by tracking key metrics like accuracy, drift, and latency. Leverage A/B testing and establish feedback loops to drive continuous improvement and rapid iteration

  • Support translation of strategic direction into analytical problems and actionable data science initiatives, ensuring data science alignment with organizational goals and long-term vision

  • Present clear, actionable insights and technical roadmaps to technical and non-technical stakeholders at all levels
    

  Collaborative Partners:

  • Customer Success Leadership: define priority use cases and success metrics for AI-driven initiatives

  • Product & Engineering: embed data-science solutions into product features and roadmaps

  • Data Platform & MLOps: utilize internal infrastructure for data access, orchestration, and scalable deployments

  • Business Operations & Finance: validate model assumptions, quantify ROI, and support strategic planning
    

  Role Requirements:

  • Education: Bachelor’s or Master’s in quantitative field such asData Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline

  • Experience: 2–5 years of hands-on experience building and deploying machine-learning solutions—especially recommender systems—in a SaaS or customer-facing environment

  • Technical Proficiency: Proficient in Python (or R) and ML frameworks (scikit-learn, TensorFlow, PyTorch); expertise with data tools (SQL, Spark, Airflow) and cloud platforms (AWS, GCP, Azure)

  • AI & Next-Gen Models: Demonstrated experience with embedding techniques, transformer-based models, and graph ML for large-scale recommendations

  • Business Acumen: Strong analytical mindset; able to translate model outputs into clear business recommendations and track impact through defined KPIs

  • Communication & Influence: Excellent at distilling complex technical concepts for non-technical audiences and driving alignment across teams

  • Self-Starter: Thrives in ambiguous environments; owns projects end-to-end and iterates based on feedback
    

  Preferred Qualifications:

  • Enterprise-Scale Recommenders: Previous hands-on experience building and scaling recommender systems at major technology platforms

  • Top-Tier Consulting Background: Prior experience at a leading strategy firm with demonstrated ability to translate complex analysis into clear recommendations

  • LLM Proficiency: Hands-on experience leveraging large language models (e.g., GPT-4) for data augmentation, prompt engineering, or analytics automation

  • Advanced AI Use Cases: Proven track record of applying cutting-edgetechniques—transformerfine-tuning, embedding retrieval, graph neural networks— to build production recommender or decision-support systems

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and

If you require assistance due to a disability applying for open positions please submit a request via this.

Posting Statement

Job Category

Job Details

Applications for this position will be accepted on an ongoing basis.

What you’ll be doing:

• Employ your wealth of experience in enterprise and commercial B2B sales to identify and engage potential Data Cloud clients.

• Leverage your comprehensive knowledge of the Salesforce platform, Data Cloud, Tableau, and AgentForce to craft highly tailored solutions that resonate with clients.

• Source and qualify Data Cloud opportunities that fit our ideal customer profile.

• Demonstrate your adeptness at leading comprehensive discovery conversations, unearthing prospective customers’ critical business needs and determining if and how Data Cloud can help them.

• Craft and present compelling Points of View (PoVs) that underscore the tangible business value of Data Cloud.

• Collaborate across cross-functional teams to show up as “One Salesforce” and ensure a seamless client experience throughout the entire sales process

• Highlight how our solutions align seamlessly with clients' long-term strategic objectives

• Utilize your unique ability to combine deep discovery with your own PoV to present compelling Data Cloud use cases that resonate with technical and business buyers

What you should have:

• 10+ years of experience in enterprise and commercial B2B sales within the context of highly technical sales.

• Expertise in modern cloud data platforms (e.g., Snowflake, Databricks, Big Query) and data analytics tools (e.g., Tableau), acquired through years of technology sales experience.

• An understanding of the Salesforceadvantage acrossSales Cloud, Marketing Cloud, Service Cloud to relate Data Cloud requirements in the context of customer needs.

• A heightened business acumen, adept at steering impactful discovery conversations to uncover the most intricate client needs.

• A proven track record of consistently surpassing sales targets within a technical sales environment, underscoring your mastery of intricate sales processes.

• Exceptional communication and negotiation skills honed through your experience in technology sales.
  

Characteristics:

• A results-driven attitude: Proven ability to exceed sales goals within the context of highly technical sales.

• Demonstrate ability to prioritize working in a cross-functional environment

• Business-focused outlook: Skillfully translates technical solutions into palpable business value

• A talent forrelationship-building:Establishes enduring client connections, rooted in your advanced sales expertise.

• A knack for problem-solving: Devises innovative solutions to address complex client challenges, using your extensive technology sales experience.

• Scrappy: Agile, roll-up-your-sleeves attitude. Progress over perfection.

We provide every employee with 7 paid volunteer days off a year, and donation matching for all approved charitable donations.
We provide other world-leading benefits to all our employees, including;

• Health, life insurance, retirement saving plan

• Monthly wellness allowance

• Flexible time off & leave policies

• Parental benefits

• Perks and discounts

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and

If you require assistance due to a disability applying for open positions please submit a request via this.

Posting Statement