2

Remote Staff Data Scientist Jobs (NOW HIRING)

Staff Data Scientist Reports to: Chief Product Officer Location ... Remote, US What You'll Do * Hands-On Model Development: Lead driver analysis and data quality work ...

Staff Data Scientist Reports to: Chief Product Officer Location ... Remote, US What You'll Do * Hands-On Model Development: Lead driver analysis and data quality work ...

Role Overview As a Staff Data Scientist focused on Calix Cloud and Intelligence, you will apply advanced analytics and machine learning to broadband access network, service, and subscriber telemetry ...

We're looking for a Staff Data Scientist who's excited about leading ambitious, high-impact work, partnering closely with product and engineering teams, and helping define the future of knowledge ...

As a Staff Data Scientist, you'll lead the design and development of scalable ML systems for use ... Learn more about our benefits at #LI-Remote

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... We are looking for a Staff Data Scientist to lead complex modelling and analytical projects of ...

We're hiring a hands-on Staff Data Scientist with applied ML engineering depth to lead the highest ... in a lean, remote team. Helpful experience * An advanced degree in a quantitative field, or ...

Staff Data Scientist

$170K - $272K/yr

As a Staff Data Scientist, you'll lead the design and development of scalable ML systems for use ... Learn more about our benefits at #LI-Remote The base salary range for this role is listed below.

US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate ... As a Staff Data Scientist on the team, you will play an influential role in guiding product ...

Role Overview As a Staff Data Scientist focused on Calix Cloud and Intelligence, you will apply advanced analytics and machine learning to broadband access network, service, and subscriber telemetry ...

Stord is looking for a Staff Data Scientist, a senior individual contributor to anchor data science efforts on the most difficult and highest-impact problems at Stord. You'll drive ML and MLOps ...

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 ...

Stord is looking for a Staff Data Scientist, a senior individual contributor to anchor data science efforts on the most difficult and highest-impact problems at Stord. You'll drive ML and MLOps ...

US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams ... About the Role: Reddit's Ads Data Science team is looking for a highly experienced Staff Data ...

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title ... Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role ...

You will provide technical leadership in data science and analytics, influencing study design ... Remote Workplace: Your location will be a home office; you are not required to live within ...

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Director Data Science + Analytics Job Type: Full-time, W2 About the Role We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework ...

next page

Showing results 1-20

Remote Staff Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Sep 14, 2026, the average yearly pay for remote staff data scientist 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.

What is a remote staff data scientist?

A Remote Staff Data Scientist is a professional who analyzes complex data to extract insights and support decision-making, all while working remotely. They use machine learning, statistical analysis, and data visualization techniques to solve business problems. This role typically requires strong programming skills in languages like Python or R, experience with data manipulation tools, and knowledge of cloud platforms. Remote staff data scientists collaborate with cross-functional teams through virtual communication tools to develop data-driven solutions. Working remotely provides flexibility but also requires self-discipline and effective communication skills.

What skills and qualifications are needed to thrive as a remote staff data scientist?

To thrive as a Remote Staff Data Scientist, you need strong analytical skills, proficiency in statistical modeling and machine learning, and a solid background in computer science or related quantitative fields. Familiarity with tools like Python, R, SQL, data visualization libraries, and cloud platforms, as well as relevant certifications, is highly valued. Exceptional communication, self-motivation, and the ability to collaborate effectively in virtual teams are important soft skills for this role. These skills ensure accurate data-driven insights, seamless teamwork, and productive remote work environments for organizational success.

What are common challenges faced by remote staff data scientists, and how can they be addressed?

Remote Staff Data Scientists may encounter challenges such as collaborating across different time zones, maintaining clear communication with team members, and accessing secure data remotely. To address these issues, many organizations use robust project management tools, regularly scheduled virtual meetings, and strong data security protocols. Building trust and proactively sharing progress through frequent updates can also help maintain alignment with your team. Adapting to remote work requires discipline and strong digital communication skills, but it also allows for greater flexibility and work-life balance. Successful data scientists leverage these practices to stay productive and connected while working remotely.

More about Remote Staff Data Scientist jobs

What cities are hiring for Remote Staff Data Scientist jobs?

Cities with the most Remote Staff Data Scientist job openings:

What states have the most Remote Staff Data Scientist jobs?

States with the most job openings for Remote Staff Data Scientist jobs include:

What are popular job titles related to Remote Staff Data Scientist jobs?

For Remote Staff Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Remote Staff Data Scientist job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
CharterUP
Internet and IT • 51 - 200 employees

Full-time

Re-posted 4 hours ago


Job description

About the Role

CharterUP is seeking a Staff Data Scientist to build our data science capability from the ground up. Your first mandate is to develop a rigorous, ground-truth understanding of our pricing and marketplace dynamics, partnering closely with Engineering on the data foundation needed to support this work. As that foundation matures, you'll expand into experimentation, model development, and production ML, while helping build the systems and standards that let data science scale across the company.

Title: Staff Data Scientist

Reports to: Chief Product Officer

Location: Remote, US

What You'll Do

  • Hands-On Model Development: Lead driver analysis and data quality work to establish the foundation for machine learning model development.
  • Build and Shape the Function: Establish the principles, infrastructure, and systems for data science, ensuring a scalable foundation that supports long-term growth.
  • Data Infrastructure & Quality: Drive improvements in data pipelines, modeling, and governance to ensure reliable, high-quality data for decision-making.
  • Strategic Partnering: Collaborate closely with executives and cross-functional teams to translate complex data into clear insights, metrics, and recommendations that influence business direction.
  • Champion a Data-First Culture: Promote best practices in experimentation, statistical rigor, and data storytelling, while mentoring peers and setting the stage for a future team.

Key Initial Objectives (6-12 months)

  • Unlock data-backed strategies to propel the company into our next phase of hypergrowth.
  • Illuminate the core drivers of business performance across our core domains including pricing, availability, customer segmentation, matching, and trip execution risk.
  • Deploy production ML models and experimentation frameworks to drive automated execution in the same core domains. 
  • Lead a team of Senior Data Scientists while shaping the company's core data roadmap 
  • Establish shared metrics and data definitions that other data functions across the company (Finance, Revenue) can also adopt.

What You'll Bring

  • Data Science Leadership: 8+ years of experience in data science with a track record of leading high-impact initiatives and influencing cross-functional teams in high-growth or startup environments.
  • Machine Learning & Statistical Expertise: Experience applying machine learning, statistical modeling, and experimentation to solve complex business problems, ideally in pricing, forecasting, optimization, or marketplace environments.
  • Hands-on experience designing, deploying, and maintaining production ML models, familiarity with AI/ML, LLMs, and NLP is a plus.
  • Technical Expertise: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building reliable, high-quality datasets for analytics and machine learning.
  • Business Acumen: Demonstrated ability to translate complex data into actionable insights that influence strategy, improve decision-making, and drive measurable business outcomes.
  • Cross-Functional Collaboration: Excellent communication and partnership skills, with the ability to influence technical and non-technical stakeholders and collaborate effectively across Product, Engineering, and business teams.
  • Navigating Ambiguity: Comfortable working with incomplete, messy, or unstructured data, bringing structure to ambiguous problems and delivering practical, data-driven solutions.

Recruiting Process

  • Step 1 - Video call: Talent Acquisition interview
  • Step 2 - Video call: Hiring Manager interview
  • Step 3 - Video call: Team interviews (x3)
  • Step 4 - Video call: Case Study & Panel Presentation
  • Step 5 - Offer & reference check
  • Welcome aboard!