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Value Point Solutions Jobs (NOW HIRING)

DataVisor

Data Scientist, AI Solutions

Mountain View, CA · On-site

... point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune ... Create generalized scoring models that deliver immediate value to new clients, ensuring they are ...

Kyriba Corp.

Value Advisor

New York, NY · On-site

$118K - $150K/yr

... solutions. We serve 3,000+ customers worldwide, managing $15 trillion in payments annually and ... point of views and cases for change for both existing and prospective clients. * Fully leverage ...

DataVisor

Data Scientist, AI Solutions

Mountain View, CA · On-site

... point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune ... Create generalized scoring models that deliver immediate value to new clients, ensuring they are ...

Fortis Construction

Construction Technologist

Tulsa, OK · On-site

$17 - $23/hr

Familiarity with established and emerging construction technology point solutions like scheduling ... All jobs require behaviors consistent with our Core Values and Culture. The employee must be able ...

New

Fortis Construction

Construction Technologist

Tulsa, OK

$17 - $23/hr

Familiarity with established and emerging construction technology point solutions like scheduling ... All jobs require behaviors consistent with our Core Values and Culture. The employee must be able ...

New

Fortis Construction

Construction Technologist

Reno, NV

$18.50 - $25.25/hr

Familiarity with established and emerging construction technology point solutions like scheduling ... All jobs require behaviors consistent with our Core Values and Culture. The employee must be able ...

Ascend

Solutions Engineer

San Francisco, CA · On-site

$45/hr

... integrated solution. In five years, we've become the market leader: over 4,000 businesses ... The companies that win won't just sell tools - they'll capture value at the point of the ...

Harness

OR

... point solutions. You'll partner with engineering, platform, and security teams to modernize ... Lead onboarding, implementation, and enablement programs to accelerate time-to-value Multi-Module ...

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All JobsValue Point Solutions Jobs

Value Point Solutions information

See salary details

$99.5K

$116.7K

$132.5K

How much do value point solutions jobs pay per year?

As of Jul 21, 2026, the average yearly pay for value point solutions in the United States is $116,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are Value Point Solutions?

Value Point Solutions is an IT services and consulting company that provides a range of technology solutions to businesses. Their services often include cloud computing, cybersecurity, managed IT services, and digital transformation consulting. The company focuses on helping organizations leverage technology to improve efficiency, security, and overall business outcomes. By offering customized IT strategies, Value Point Solutions aims to deliver measurable value for their clients across various industries.

What are some typical challenges faced by professionals working at Value Point Solutions, and how can applicants prepare to overcome them?

Professionals at Value Point Solutions often work on diverse IT projects for clients with varying technical needs and timelines. One common challenge is adapting quickly to new technologies and client environments while maintaining high-quality service delivery. To prepare, applicants should be proactive in continuous learning, demonstrate flexibility, and develop strong communication skills to collaborate effectively with cross-functional teams. Emphasizing problem-solving abilities and a customer-centric approach will also help you thrive in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Value Point Solutions Consultant, and why are they important?

To thrive as a Value Point Solutions Consultant, you generally need expertise in business analysis, solution design, and project management, often supported by a degree in business, IT, or a related field. Familiarity with CRM/ERP platforms, data analytics tools, and relevant certifications like PMP or Six Sigma are typically expected. Strong communication, problem-solving, and client management skills help you stand out in this role. These abilities are essential to deliver tailored, high-impact solutions that drive business value and ensure client satisfaction.

What is the difference between Value Point Solutions vs Network Engineer?

AspectValue Point SolutionsNetwork Engineer
CredentialsTypically requires certifications like CompTIA, Cisco CCNA, or vendor-specific credentialsRequires certifications such as Cisco CCNA, CCNP, or CompTIA Network+
Work EnvironmentConsulting firms, client sites, or internal IT teamsCorporate offices, data centers, or client networks
Industry UsageUsed across various industries for IT solutions and consultingPrimarily in telecommunications, IT, and technology sectors
Search & Comparison IntentUnderstanding service offerings, consulting scope, or solutions providedTechnical skills, network setup, and maintenance

Value Point Solutions and Network Engineer roles often overlap in certifications and work environments, but Value Point Solutions focuses on providing comprehensive IT solutions and consulting, while Network Engineers specialize in designing, implementing, and maintaining network infrastructure.

More about Value Point Solutions jobs
What cities are hiring for Value Point Solutions jobs? Cities with the most Value Point Solutions job openings:
What job categories do people searching Value Point Solutions jobs look for? The top searched job categories for Value Point Solutions jobs are:
Value Point Solutions jobs near you
Infographic showing various Value Point Solutions job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $116,666 per year, or $56.1 per hour.
Data Scientist, AI Solutions

Data Scientist, AI Solutions

DataVisor

Mountain View, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Role Summary

We are seeking a hands-on Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud and AML Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses.

Responsibilities
  • Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding.
  • Mine the Global Consortium: Analyze large-scale, cross-industry data within our global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming these insights into features that can be deployed across all clients.
  • Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated.
  • Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates.
  • Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing the statistical rigor needed to turn experimental concepts into production-grade features.

Requirements

Qualifications
  • Education: MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience: Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
  • Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS).
Preferred Qualifications
  • Experience with graph theory or link analysis for detecting network-based fraud.
  • Familiarity with unsupervised learning techniques or anomaly detection.
  • Previous experience working in a high-growth SaaS or Fintech environment.
  • Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting).

Benefits

  • Salary ranges between USD 120,000 and 170,000.
  • Total compensation includes base salary, performance bonuses, and equity options.
  • Comprehensive medical, dental, and vision insurance coverage.
  • 401(k) retirement savings plan available.
  • Flexible Time Off (FTO) plus paid holidays.
  • Opportunities for research, development, and professional advancement.
  • Regular team-building events in a collaborative and innovative work environment.