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Data Scientist Online Jobs (NOW HIRING)

The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the ...

The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the ...

A Data Scientist is responsible for working cross functionally in the organization with different ... To apply for this position please complete the online application. This position is open until ...

A Data Scientist is responsible for working cross functionally in the organization with different ... To apply for this position please complete the online application. This position is open until ...

Data Scientist

Irving, TX · On-site

$65 - $70/hr

For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy ...

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Prior experience in eCommerce or Online Retail. PROPRIUS is an AI Industry recruiting firm. We're ...

I have an opportunity for " Data Scientist " and looking for a candidate who can join Immediately ... We respect your Online Privacy. This e-mail message, including any attachments, is for the sole use ...

Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data. Basic Qualifications * B.S. degree in computer science ...

Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data. Basic Qualifications * B.S. degree in computer science ...

They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model ...

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer ... online testing with big data set. - Excellent communications and organizational skills - Prior ...

Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data. Basic Qualifications * B.S. degree in computer science ...

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer ... online testing with big data set. - Excellent communications and organizational skills - Prior ...

The Data Scientist will work as part of a research-focused team to advance national security ... online social media, human behavior, and more. * Support multiple simultaneous projects ...

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... business intelligence, online social media, human behavior and more. * Support multiple ...

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... business intelligence, online social media, human behavior and more. * Support multiple ...

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... business intelligence, online social media, human behavior and more. * Support multiple ...

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... business intelligence, online social media, human behavior and more. * Support multiple ...

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Data Scientist Online information

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$46K

$165K

$243.5K

How much do data scientist online jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data scientist online in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior positions. Achieving this level often requires a combination of expertise, certifications, and working in competitive markets or organizations with generous compensation packages.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Can I work online as a data scientist?

Yes, data scientists can work online, often collaborating remotely using tools like Python, R, and cloud platforms. Many companies offer remote data science roles with flexible schedules, requiring strong analytical skills and experience with data analysis and machine learning.

Can I become a data scientist online?

Yes, aspiring data scientists can pursue online programs and certifications to develop necessary skills such as programming, statistics, and machine learning. Many reputable universities and platforms offer flexible, remote courses that can lead to entry-level or advanced data science roles.

What is a Data Scientist Online job?

A Data Scientist Online job is a remote position where professionals analyze and interpret complex data to help businesses make informed decisions. They use programming languages like Python or R, machine learning techniques, and statistical analysis to extract insights. These roles often involve working with large datasets, building predictive models, and visualizing data trends. Since the job is online, communication and collaboration happen through digital tools, making strong remote work skills essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Online position, and why are they important?

To thrive as a Data Scientist Online, you need a solid foundation in statistics, data analysis, and programming, typically supported by a degree in computer science, mathematics, or a related field. Experience with tools such as Python, R, SQL, and cloud-based data analytics platforms, as well as certifications like AWS Certified Data Analytics or Google Data Engineer, are highly valued. Strong communication, problem-solving, and self-motivation are crucial soft skills for remote collaboration and conveying complex insights to stakeholders. These abilities are essential for effectively driving data-driven decision-making while working independently in a virtual or distributed environment.

What are some typical daily responsibilities and collaboration methods for an online Data Scientist?

As an online Data Scientist, your daily responsibilities often include cleaning and analyzing datasets, building predictive models, and presenting findings to stakeholders through virtual meetings and interactive dashboards. Collaboration is typically facilitated through remote communication tools like Slack, Zoom, and cloud-based project platforms, allowing you to work seamlessly with team members across different locations and time zones. You may also participate in code reviews, contribute to shared repositories, and join agile stand-up meetings to ensure alignment on project goals. This structure enables flexible work while maintaining a high level of team coordination and project accountability.

More about Data Scientist Online jobs
What cities are hiring for Data Scientist Online jobs? Cities with the most Data Scientist Online job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Data Scientist Online jobs? States with the most job openings for Data Scientist Online jobs include:
Infographic showing various Data Scientist Online job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Principal Data Scientist, Online

Principal Data Scientist, Online

Home Depot

Atlanta, GA • On-site

Full-time

Posted 18 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,382 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.
As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems.
Key Responsibilities:
  • 25% Solution Development - Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations
  • 20% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 35% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems

Direct Manager/Direct Reports:
  • This position typically reports to Senior Manager or above
  • This position has 0 Direct Reports and leads/manages projects

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
  • 10+ years of experience in business intelligence and analytics
  • Expertise in a modern scripting language (preferably Python)
  • Expertise running queries against data (preferably with Google BigQuery or SQL)
  • Advanced knowledge of Microsoft Office Suite
  • Expertise with data visualization software (preferably Tableau)
  • Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated mastery in predictive modeling, data mining and data analysis
  • Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 10

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
  • Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications

What Home Depot employees say

Pay

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Hours and flexibility

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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