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Pre Sales Data Scientist Jobs (NOW HIRING)

You will be involved from pre-sales to support. You will work on next generation algorithms ... and data scientists. Ability to respond to customer needs and meet deadlines with accurate work ...

You will be involved from pre-sales to support. You will work on next generation algorithms ... and data scientists. Ability to respond to customer needs and meet deadlines with accurate work ...

... Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on ... pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving ...

... Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on ... pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving ...

... sales data, at store/category/SKU level with 1-14 day horizons * Develop ML-based risk scoring ... Science experience with a strong foundation in classical ML * Proficiency in supervised and ...

... pre-processing techniques to improve data quality and analysis outcomes. • Participate in cross-functional teams to identify opportunities for process improvement and data-driven decision-making ...

Summary: The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT ... sales data into a continuous, single-source-of-truth. * Privacy & Compliance: Implement and ...

Apply and integrate a variety of data pre-processing techniques to improve data quality and ... Data Scientist I: * Bachelor's degree in statistics, computer science, mathematics, or relevant ...

Summary: The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT ... sales data into a continuous, single-source-of-truth. * Privacy & Compliance: Implement and ...

Apply and integrate a variety of data pre-processing techniques to improve data quality and ... Data Scientist I: * Bachelor's degree in statistics, computer science, mathematics, or relevant ...

Data Scientist Location: Remote Duration 4-6 months The RBQM Data Scientist supports central ... This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Position Overview The Data Scientist designs and develops advanced analytical models to support ... pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Position OverviewThe Data Scientist designs and develops advanced analytical models to support ... pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be ...

Nooks is an AI sales assistant platform that automates the busywork so reps can focus on the human ... Data Science, or a related field Expert in SQL and Python or R 3+ years of industry experience ...

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Pre Sales Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do pre sales data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for pre sales data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a pre sales data scientist?

A Pre Sales Data Scientist is a professional who works with sales teams to demonstrate the value and capabilities of data science solutions to potential clients. They analyze client requirements, design tailored data-driven solutions, and provide technical expertise during the sales process. Their role bridges the gap between technical teams and customers, ensuring that proposed solutions meet business needs. Pre Sales Data Scientists often prepare presentations, proof-of-concepts, and respond to technical questions to help secure new business.

What are the key skills and qualifications needed to thrive as a pre sales data scientist?

To thrive as a Pre Sales Data Scientist, you need a solid background in data analytics, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience with cloud services or certifications such as AWS or Azure, is typically required. Outstanding communication, presentation, and problem-solving skills help you translate complex technical concepts for clients and collaborate with sales teams. These abilities are crucial for effectively demonstrating product value and building trust with prospective customers during the sales process.

How does a pre sales data scientist typically collaborate with sales and technical teams during the client engagement process?

A Pre Sales Data Scientist works closely with sales teams to understand client needs and translate them into tailored data-driven solutions. They often join meetings with clients to explain technical concepts in accessible terms and demonstrate how analytics can solve specific business challenges. Additionally, they collaborate with technical teams to design proof-of-concept models, ensuring proposed solutions are both feasible and aligned with the client's objectives. This role requires strong communication skills and the ability to bridge the gap between technical and non-technical stakeholders.

What is the difference between Pre Sales Data Scientist vs Data Analyst?

AspectPre Sales Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related fields; often some experience in sales or client-facing rolesBachelor's in Data Science, Statistics, or related fields; entry to mid-level experience
Work EnvironmentCollaborates with sales teams, client presentations, technical demonstrationsAnalyzes data sets, generates reports, supports decision-making across departments
Employer & Industry UsageTech, SaaS, consulting firms with client-facing solutionsFinance, healthcare, marketing, and other industries requiring data insights

The main difference is that Pre Sales Data Scientists focus on supporting sales through technical expertise and client interactions, while Data Analysts primarily analyze data to inform internal decision-making. Pre Sales Data Scientists often have a blend of technical and communication skills tailored to client engagement, whereas Data Analysts concentrate on data processing and reporting.

What cities are hiring for Pre Sales Data Scientist jobs?

Cities with the most Pre Sales Data Scientist job openings:

What states have the most Pre Sales Data Scientist jobs?

States with the most job openings for Pre Sales Data Scientist jobs include:

What are popular job titles related to Pre Sales Data Scientist jobs?

For Pre Sales Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Pre Sales Data Scientist job openings in the United States as of September 2026, with employment types broken down into 82% Full Time, 6% Part Time, 6% Contract, and 6% Nights. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Pre Sales Data Center Solutions Engineer

Remote

Prime Data Centers
Software Development • 11 - 50 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

About Prime Data Centers
Prime Data Centers develops, acquires, and operates data centers for some of the world's largest enterprises. A private firm owned by a group controlling $6 billion in assets, with a 15-year tenure in technology and real estate development, Prime provides customers with ownership options and dynamic leasing models, defining a true corporate partnership.
About the role
The Pre Sales Data Center Solutions Engineer reports to the VP of Solutions Engineering and plays a key role in evaluating, designing, and implementing data center technical solutions for construction-based projects for primarily our prospective Hyperscale customers.
This role supports opportunities driven by RFPs/RFIs and direct client engagement, partnering closely with Sales and working collaboratively with Engineering, Product Delivery, Operations and Marketing to deliver accurate, compelling, and technically sound responses and proposals.
What you'll do
  • Design, develop, and support the implementation of Data Center solutions aligned with customer technical and business requirements.
  • Lead and engage in internal response teams to review, evaluate and address customer requirements for RFP and RFI submissions.
  • Support implementation and construction teams to ensure timely delivery of customer contractual commitments.
  • Contribute technical content for sales presentation, industry events, publication, and digital platform in partnership with Prime Marketing team.
  • Travel to company sites and OEM facilities to facilitate strong relationships between the company and site contractors and suppliers
  • Collect, manage, and update, internal library of RFP questions/answers and specification documents that are regularly used for response documents
  • Contribute to and manage PowerPoint documents for Sales Engineering-specific subject matter
  • Maintain Salesforce list of available capacity/footprint at existing company facilities
  • Maintain a Salesforce list of potential development properties and acquisitions, and the status of each
  • Self-paced training to gain knowledge of MEP systems, civil and structural engineering, architecture, and commissioning as they result to data center development
  • Self-paced training to gain knowledge on facility BMS/EPMS/DCIM systems and security operational process and policy
  • Coordinate with company procurement specialist to summarize anticipated vs. required vs. ordered OFCI equipment, and impacts to current sales opportunities and/or site developments
  • Monitor TFO project costs and schedule against contractual commitments
  • Attend regular Development status meetings and provide weekly summary of progress and issues to Sales to align on business objectives
  • Work with design team to understand category spend management opportunities, supply market and commodity trends, typical KPI's for designers, contractors and professional service providers
  • Help develop RFP packages for TFO design and contracting services and help coordinate competitive sourcing events to ensure structuring of commercial value, risk mitigation, and performances requirements are secured in a contract to protect the company's interests
  • Coordinate with procurement team to anticipate needs of various projects to ensure ordering of OFCI equipment for just-in-time delivery to meet company timelines
  • Obtain OFCI equipment submittals to support the design, specification, and process approval for each assigned project as needed

Qualifications
  • Bachelor's degree, preference in a science-related field such as Computer Science, Information Technology or Engineering. Relevant technical Military Service experience will also be considered.
  • 5+ years of experience in data center solution design or a related engineering role
  • Excellent communication and client-facing skills.
  • Strong understanding of data center design, construction, and implementation practices.
  • High proficiency with Microsoft Word, Excel, PowerPoint, SharePoint and Teams
  • Proficiency in AutoCAD/Visio/Bluebeam is a plus
  • Ability to collaborate effectively with cross-functional teams, both in-person and remotely
  • Highly self-motivated, with strong organizational skills and ability to prioritize competing deliverables (customer-facing and internal)
  • Ability to travel as needed (moderate travel expected)

Benefits
  • Competitive salary range with a quarterly-based project bonus and an annualized performance bonus program
  • 401k up to a 4% employer match with is fully vested upon enrollment
  • 100% employee premiums paid by employer for medical, dental, vision, life insurance, and disability
  • Paid Time Off + Sick time

Applications will be accepted on an ongoing basis.
Prime is an Equal Opportunity Employer. All applicants are considered for employment without attention to race, color, age, religion, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity or expression, genetic information, ancestry, national origin, citizenship, protected veteran or military status, disability status, or any other classification protected by federal, state, or local laws and ordinances.
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