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Data Scientist Forecasting Remote Jobs (NOW HIRING)

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 ...

Russell Tobin is seeking a Data Scientist for a client in the Travel industry ... The role involves developing and optimizing statistical forecasting models to support Treasury ...

Data Scientist

$150K - $180K/yr

Partner with senior scientists to forecast cash flows and other drivers of business health using ... Compensation and Benefits We are a fully remote company and we believe in taking care of our ...

Remote (USA) Description: * We are looking for a Senior Data Scientist to drive predictive ... Hands-on experience with time series forecasting models including SARIMA, Prophet, and other ML ...

Deliver cutting-edge forecasting, anomaly detection, and optimization expertise, driving best ... Mentor data scientists on the team and elevate the technical bar across forecasting, optimization ...

Data Scientist

$95K - $110K/yr

... forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform ... Collaborate with other Data Science team members to push root-level improvements across demand ...

... forecasting, or other relevant areas - and, just as importantly, experience operationalizing those ... A hybrid in-office approach, enabling remote work a portion of each week * Health Care Plan ...

... and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows.

This role is fully remote within the U.S., with travel to our Cleveland headquarters for onboarding ... Experience building and applying models (e.g., LTV, churn/retention, forecasting, MTA/MMM ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows.

This role is focused on applied data science, decision-support modeling, and model ... forecasting. • Operationalize models within Palantir Foundry using Code Workbook and Code ...

... and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

... and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

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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 Jun 20, 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 are the key skills and qualifications needed to thrive as a Data Scientist specializing in Forecasting in a remote role, and why are they important?

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.

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 does a Data Scientist 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.
More about Data Scientist Forecasting Remote jobs
What cities are hiring for Data Scientist Forecasting Remote jobs? Cities with the most Data Scientist Forecasting Remote job openings:
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What states have the most Data Scientist Forecasting Remote jobs? States with the most job openings for Data Scientist Forecasting Remote jobs include:
Data Scientist, Modeler

Data Scientist, Modeler

The Wonderful Company

Los Angeles, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


The Wonderful Company rating

6.5

Company rating: 6.5 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

242nd of 385 rated food and drinks producers


Job description

Company Description

Teleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We've been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we've become the world's largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to hand-arrange and hand deliver every bouquet!

We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows.

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is the ability to translate complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results, while not owning test execution.

This position will be based at our Oklahoma, OK office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday.

*Local Candidates Only

Job Description

Forecasting & Budgeting (Core Ownership)

  • Own forecasting models for:
    • Revenue, orders, conversion rates, and AOV
    • Marketing performance and demand planning
  • Partner with Finance and Leadership on budgeting and planning cycles
  • Build scenario models to support strategic decisions
  • Continuously improve forecast accuracy using statistical and machine learning techniques

Customer & LTV Modeling (Core Requirement)

  • Design and maintain Customer Lifetime Value (LTV) models
  • Perform cohort analysis, retention modeling, and customer segmentation
  • Identify key drivers of long-term customer value and profitability
  • Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategies

AI / LLM Strategy & Implementation

  • Lead adoption of AI/LLM capabilities across analytics and business workflows
  • Identify and implement use cases such as:
    • Automated insight generation and reporting
    • Natural language querying (NL SQL)
    • Customer behavior summarization and segmentation
  • Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.)
  • Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevance

Advanced Analytics & Modeling

  • Develop models for:
    • Demand forecasting and seasonality
    • Customer behavior and conversion drivers
  • Leverage GCP/BigQuery for large-scale data analysis
  • Identify key drivers of performance across product, pricing, and customer behavior

A/B Test Validation & Experimentation Support

  • Validate statistical significance and methodology of A/B tests
  • Ensure accuracy and consistency of test readouts
  • Define guardrails and best practices for experimentation measurement
  • Partner with Product and Analytics teams (without owning test execution)

Communication & Executive Storytelling (Critical)

  • Translate complex analyses into clear, actionable insights for non-technical stakeholders
  • Develop high-quality presentations and narratives for senior leadership and executives
  • Clearly articulate assumptions, risks, and confidence levels in models and forecasts
  • Influence decision-making through structured, data-driven storytelling

Data Strategy & Cross-Functional Collaboration

  • Work closely with:
    • Data Analytics Manager (India)
    • Data Engineering / DW team
    • Product, Marketing, and Finance stakeholders
  • Help define scalable data models and structures to support analytics and AI use cases

Tooling & Infrastructure

  • Build models and workflows using:
    • Python (preferred) or R
    • SQL / BigQuery (GCP ecosystem)
  • Work with modern AI tooling:
    • LLM APIs (OpenAI, Claude, Gemini)
  • Help establish scalable pipelines for both traditional ML and LLM-based systems
  • Establish best practices for prompt design, validation, and governance
Qualifications
  • 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business)
  • Experience presenting to senior executives and driving decisions
  • Strong experience with:
    • Forecasting and time series modeling
    • Customer Lifetime Value (LTV) modeling
    • Python and SQL (BigQuery preferred)
    • Statistical analysis and experimentation
  • Proven ability to build executive-level presentations and communicate complex insights clearly
  • Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.)
  • Experience building or prototyping AI-powered workflows or applications
  • Strong ability to evaluate and validate AI-generated outputs for accuracy and plausibility
  • Understanding of:
    • Prompt engineering
    • Model limitations (hallucination, bias, cost tradeoffs)
  • Excellent verbal and written communication skills
  • Ability to influence stakeholders across Product, Marketing, Finance, and Leadership
  • Master's degree (or foreign equivalent) in Data Science or Statistics

Preferred:

  • Experience with GCP ecosystem
  • Exposure to MLOps or productionizing models
  • Experience in eCommerce or high-volume consumer environments
Additional Information
  • Thriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including: 
    • 24/7 online physician consultations 
    • virtual mental health resources 
    • life coaching 
    • engaging employee community groups 
    • cash rewards for healthy habits and fitness reimbursements 
    • library of on-demand fitness videos 
  • Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units. 
  • Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses. 
  • Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward. 
  • Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace. 
  • Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness, community development, and sustainability initiatives across California's Central Valley, Fiji, and the world. In 2025, Wonderful ranked as #1 in PEOPLE's "100 Companies That Care" list and was named one of Fortune magazine's 100 Best Companies to Work For. To learn more about our corporate social responsibility efforts, visit csr.wonderful.com.
  • Giving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities. 

Say everything and share your "Love Out Loud" with the gift of Teleflora flowers-all made by hand and delivered by hand by your local florist. With more than 10,000 member florists in North America alone, Teleflora offers the kind of personal touches, artistry and expertise you expect from a trusted neighborhood florist-even if that neighborhood is across the country. No prepackaged flowers in nondescript boxes dropped on your doorstep-Teleflora's network of professional florists creates artistic arrangements personally delivered in a vase, often on the same day. Teleflora makes every day an occasion with a two-in-one gift that includes a multipurpose keepsake container for long-lasting enjoyment. For more, visit: www.teleflora.com, or follow us on Instagram and Facebook and tag your own #LoveOutLoud moment. 

Telefora is part of The Wonderful Company, a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide. The Wonderful Company's connection to consumers has health at its heart and giving back in its DNA. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California's Central Valley. To view the current Corporate Social Responsibility report, visit csr.wonderful.com.

The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.

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