2

Remote Data Science Jobs in Arkansas (NOW HIRING)

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 ...

... data science, machine learning, and agentic AI to solve highimpact business problems across Walmart's global operations. You will build production ML systems, deploy autonomous AI agents, and ...

... Science team. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce. As a Senior Data Analyst, you ...

(USA) Senior, Data Scientist

Bentonville, AR · On-site +1

$108K - $216K/yr

Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

$204K - $214K/yr

Align stakeholders across product, engineering, UX, data science, and commercial teams, driving ... model) or remote in the US. At Clarivate, we are committed to providing equal employment ...

Data Engineer

Bentonville, AR · On-site +1

$100K - $120K/yr

Data Engineer LOCATION: Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required ... Experience/Skills Required: 1. Bachelor's degree in Computer Science, Information Technology, or ...

(USA) Staff, Data Scientist

Bentonville, AR · On-site +1

$132K - $264K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Sr. Data Engineer

Bentonville, AR · Remote

$120K - $150K/yr

As a remote-first company, most of our positions can be remote in the US, except for key roles ... science, math, data engineering or another related field or equivalent work experience Knowledge ...

Security Analyst

Little Rock, AR · On-site +1

$80K - $130K/yr

Req ID: 372918 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Masters Degree in Computer Science Management Information Systems, or related fields Experience ...

Senior Security Analyst

Little Rock, AR · On-site +1

$80K - $130K/yr

Req ID: 372918 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $80,000 - $130,000. This range reflects the minimum ...

next page

Showing results 1-20

Remote Data Science information

See Arkansas salary details

$20.9K

$93K

$177.5K

How much do remote data science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote data science in Arkansas is $93,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,055.00 and $129,037.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Arkansas? The most popular types of Data Science jobs in Arkansas are:
What are popular job titles related to Remote Data Science jobs in Arkansas? For Remote Data Science jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Arkansas look for? The top searched job categories for Remote Data Science jobs in Arkansas are:
What cities in Arkansas are hiring for Remote Data Science jobs? Cities in Arkansas with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Arkansas as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,032 per year, or $44.7 per hour.
Data Scientist, Modeler

Data Scientist, Modeler

Teleflora

Paragould, AR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


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 Paragould, AR 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.

#LI-JB1

EEO is the law - click here for more information