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Remote Salesforce Data Scientist Jobs in Kansas (NOW HIRING)

Overstory

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... WHAT YOU'LL DO The Senior Data and AI Scientist leads strategic data science and AI initiatives ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Total Performance Consulting

$98K - $118K/yr

Minimum 5+ years working in Data Science. * We expect you to have a passion and experience in ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Total Performance Consulting

$98K - $118K/yr

Education BS in Computer Science and a minimum of five years of experience delivering production ... Environment US-based remote working within PT/ET time zones with the potential for occasional ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

CrowdStrike

Collaborate across the organization with Data Scientists, Product Managers, and other engineering ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Naic

Catastrophe Risk Modeler

Kansas City, KS · On-site +1

$125K - $162K/yr

This is a full-time remote position. Residency within the United States is required ... data science, insurance, risk management, engineering, physics, atmospheric science, geography ...

New

Overstory

... wildfire science, forestry, or remote sensing * Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end-to-end ML systems - from data ingestion and ...

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Remote Salesforce Data Scientist information

What is a remote Salesforce data scientist?

A Remote Salesforce Data Scientist is a professional who uses data science techniques to analyze and interpret data within Salesforce, a popular customer relationship management (CRM) platform, while working from a remote location. They leverage tools like Salesforce Einstein Analytics and programming languages such as Python or R to extract insights, build predictive models, and help organizations make data-driven decisions. Their work often involves integrating large datasets, cleaning and preprocessing data, and presenting actionable findings to stakeholders. By working remotely, they can collaborate with global teams and access Salesforce environments securely from anywhere.

How does a remote Salesforce data scientist typically collaborate with cross-functional teams?

As a Remote Salesforce Data Scientist, you’ll frequently collaborate with sales, marketing, and IT teams to interpret data needs and deliver actionable insights. Communication is primarily conducted through virtual meetings, shared dashboards, and cloud-based project management tools. You'll often present findings, discuss data-driven strategies, and partner with Salesforce administrators to ensure data quality and accessibility. This role requires strong interpersonal skills and the ability to translate complex analyses into practical business recommendations for various stakeholders.

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

To thrive as a Remote Salesforce Data Scientist, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree and experience with CRM data. Proficiency in Salesforce platform tools, SQL, Python or R, and familiarity with data visualization and ETL systems are crucial, and certifications like Salesforce Data Architect or Tableau can be advantageous. Strong problem-solving abilities, communication skills, and the capacity to work independently make someone stand out in this remote role. These skills are essential to extract actionable insights from Salesforce data, support business decisions, and collaborate effectively in a distributed environment.

What is the difference between Remote Salesforce Data Scientist vs Remote Salesforce Data Analyst?

AspectRemote Salesforce Data ScientistRemote Salesforce Data Analyst
Required CredentialsData science degree, Salesforce certifications, programming skillsData analysis certifications, Salesforce certifications, basic SQL skills
Work EnvironmentCollaborates with data science teams, develops predictive modelsPrepares reports, analyzes Salesforce data, supports decision-making
Employer & Industry UsageTech companies, CRM providers, large enterprises using SalesforceSalesforce users, marketing teams, sales departments

Remote Salesforce Data Scientists focus on building predictive models and advanced analytics, requiring programming and data science expertise. In contrast, Remote Salesforce Data Analysts primarily interpret Salesforce data to generate reports and insights. Both roles are vital in organizations leveraging Salesforce, but they differ in technical complexity and scope.

What are the most commonly searched types of Salesforce Data Scientist jobs in Kansas?

The most popular types of Salesforce Data Scientist jobs in Kansas are:

What are popular job titles related to Remote Salesforce Data Scientist jobs in Kansas?

For Remote Salesforce Data Scientist jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Salesforce Data Scientist jobs in Kansas look for?

The top searched job categories for Remote Salesforce Data Scientist jobs in Kansas are:

What cities in Kansas are hiring for Remote Salesforce Data Scientist jobs?

Cities in Kansas with the most Remote Salesforce Data Scientist job openings:

Remote Salesforce Data Scientist jobs near you

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 11 days ago

Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply