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Data Scientist Forecasting Remote Jobs (NOW HIRING)

SOSi

Data Scientist

OR · Remote

Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Amplify Education, Inc.

Data Scientist

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... forecast demand. These models will enable branch-level decision-making, helping maximize revenue by ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... forecast demand. These models will enable branch-level decision-making, helping maximize revenue by ...

Kaizen Analytix LLC

Data Scientist

Atlanta, GA · On-site +1

Contract Location : Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global ... probability, statistics, forecasting, machine learning, artificial intelligence, or other ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... forecast demand. These models will enable branch-level decision-making, helping maximize revenue by ...

Kaizen Analytix

Data Scientist

Atlanta, GA · Remote

$60/hr

Contract Location : Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global ... probability, statistics, forecasting, machine learning, artificial intelligence, or other ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

OneStudyTeam

Senior Data Scientist

$140K - $190K/yr

Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Build machine learning and AI solutions that support pricing, forecasting, and revenue management ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Build machine learning and AI solutions that support pricing, forecasting, and revenue management ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

Advanced demand forecasting models to solve our biggest operational challenge: eliminating stock ... Employees approved for remote work must perform their duties from a single, company-approved based ...

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Data Scientist Forecasting Remote information

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$37.5K

$122.7K

$196.5K

How much do data scientist forecasting remote jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data scientist forecasting remote 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 does a data scientist specializing in forecasting do when working remotely?

A Data Scientist in Forecasting working remotely uses statistical models, machine learning algorithms, and large datasets to predict future trends or outcomes for a business. Their tasks often include gathering and cleaning data, building predictive models, evaluating their accuracy, and communicating findings to stakeholders. Remote data scientists collaborate with teams through virtual meetings and cloud-based tools, ensuring their forecasts support business decisions. The remote aspect offers flexibility but requires strong communication and self-management skills.

How does a remote data scientist specializing in forecasting typically collaborate with cross-functional teams?

Remote Data Scientists in forecasting roles regularly collaborate with product managers, engineers, and business analysts through virtual meetings, shared dashboards, and project management tools. They are often responsible for presenting forecast results, discussing model assumptions, and incorporating stakeholder feedback to refine predictions. Effective communication and documentation are crucial, as team members may operate across different time zones. This collaborative environment helps ensure that forecasting models align with business goals and can be effectively integrated into decision-making processes.

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting in a remote role?

To thrive as a Data Scientist specializing in Forecasting, you need a strong background in statistics, mathematics, and machine learning, usually supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with forecasting libraries (like Prophet or ARIMA), and familiarity with cloud-based data platforms are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating complex findings into actionable insights. These skills and qualities are vital for building accurate predictive models and ensuring effective decision-making in distributed teams.

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

AspectData Scientist Forecasting RemoteData Analyst Forecasting Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; typically less emphasis on advanced modeling
Work EnvironmentCollaborative teams, often in tech or finance industries; remote work commonBusiness units, marketing, or finance teams; remote options widely available
Employer & Industry UsageTech companies, finance, e-commerce; focus on predictive modeling and forecastingRetail, marketing, finance; focus on reporting and trend analysis

Data Scientist Forecasting Remote roles focus on advanced predictive modeling and machine learning, requiring higher technical skills and credentials. Data Analysts Forecasting Remote positions emphasize data reporting and trend analysis with less emphasis on complex modeling. Both roles are often remote and serve similar industries, but differ in technical depth and responsibilities.

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Data Scientist Forecasting Remote jobs near you
Infographic showing various Data Scientist Forecasting Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist - USA Remote

Remote

BMC Software, Inc
Computer and Computer Peripheral Equipment and Software Wholesalers • 5 - 10K employees
Learn more about BMC Software, Incexternal

Full-time

Posted 29 days ago

Job description

Description and Requirements
CareerArc Code
CA-AJ
Remote: #LI-Remote
BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world's largest organizations so they can seize a competitive advantage.
Senior Data Scientist
We are seeking a highly skilled Data Scientist with deep experience in B2B SaaS to lead the development of advanced analytics, predictive models, and AI-driven insights that improve business performance and customer outcomes. This role will partner closely with teams across Product, Sales, Marketing, Customer Success, and Data teams to solve high-impact business problems using data science.
The ideal candidate brings a strong foundation in statistical modeling, machine learning, experimentation, and business analytics, combined with a practical understanding of key SaaS metrics such as ARR, NRR, churn, retention, expansion, pipeline conversion, customer health, and product adoption. This person must be able to move fluently between technical depth and business context, translating complex data into actionable recommendations that influence strategy and execution.
Key Responsibilities
  • Develop and deploy predictive and prescriptive models to solve critical business problems across the B2B SaaS lifecycle.
  • Build data science solutions for use cases such as customer churn prediction, upsell propensity, lead scoring, pipeline forecasting, product adoption, customer segmentation, pricing optimization, and customer health scoring.
  • Partner with Sales, Operations, Marketing, and Customer Success teams to identify opportunities where data science can improve growth, retention, and operational efficiency.
  • Design and analyze experiments, A/B tests, and quasi-experimental studies to measure the impact of product, marketing, and sales initiatives.
  • Apply statistical methods and machine learning techniques to large, complex datasets from CRM, product telemetry, marketing, support, finance, and customer systems.
  • Translate business questions into structured analytical approaches and communicate findings clearly to executive and cross-functional stakeholders.
  • Collaborate with data engineers, analytics engineers, BI teams, and architects to ensure scalable data pipelines and production-ready modeling workflows.
  • Monitor model performance, validate assumptions, and continuously improve model accuracy, explainability, and business relevance.
  • Support the development of self-service insights, reusable data science assets, and scalable frameworks for decision-making.
  • Document methodologies, assumptions, and business impact in a clear and reproducible manner.

Required Qualifications
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science,
Mathematics or a related quantitative field.
• 8+ years of experience in data science & machine learning, with significant
experience in B2B SaaS environments.
• Strong expertise in machine learning, statistical modeling, forecasting,
experimentation, and causal analysis.
• Strong proficiency in Python and advanced SQL skills.
• Experience working with large-scale business, sales, and product datasets,
including CRM, telemetry, subscription, and customer data.
• Deep understanding of B2B SaaS business models and core metrics such as ARR,
MRR, churn, retention, expansion, NRR, CAC, LTV, conversion, and product
usage/adoption.
• Hands-on experience with large language models (LLMs) and modern AI
frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, or similar
tools.
• Familiarity with RAG, prompt engineering, model evaluation, guardrails, and
responsible AI practices for enterprise-ready AI solutions.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery
• Experience in subscription analytics, revenue analytics, product-led growth, or
customer lifecycle modeling.
• Experience building models that support GTM, Product, or Customer Success
decision-making.
• Strong ability to communicate technical findings to non-technical audiences and
influence business decisions.
• Experience working cross-functionally in fast-paced, matrixed environments.
• Familiarity with GenAI or AI-enabled analytical workflows is a plus.
• Familiarity with BI and visualization tools such as Tableau, Power BI, or Looker
Core Skills
• Machine Learning
• Statistical Modeling
• Forecasting
• Experimentation and A/B Testing
• Customer Churn and Retention Analytics
• Product Adoption Analytics
• Revenue and Growth Analytics
• Segmentation and Propensity Modeling
• Python
• SQL
• Applied AI / Generative AI
• Large Language Models (LLMs) / Retrieval-Augmented Generation (RAG)
• Data Storytelling
• Cross-Functional Business Partnership
What Success Looks Like
Success in this role means delivering data science solutions that create measurable
business impact. This includes improving customer retention, accelerating growth,
increasing forecast accuracy, identifying high-value opportunities, and enabling smarter
decisions across the B2B SaaS customer lifecycle. The successful candidate will combine
strong technical rigor with business judgment and will help
#LI-Remote
Our commitment to you!
BMC's culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won't be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You're unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.
Min salary
132,975
Max salary
221,625
Min Salary - NEW
132,975
Max Salary - NEW
221,625

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