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Remote Staff Data Scientist Jobs (NOW HIRING)

Calix

Staff Data Scientist

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 ...

Hims and Hers Health, Inc.

Staff Data Scientist

$180K - $220K/yr

... its talent-first flexible/remote work approach, see below and visit www.hims.com/careers ... As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for ...

DailyPay

Senior Staff Data Scientist

New York, NY · Remote

$215K - $294K/yr

DailyPay is seeking a Senior Staff Data Scientist to serve as the technical architect and strategic leader for our Personalization & AI Platform domains. This is one of the most technically senior ...

Reddit

Staff Data Scientist, Consumer

$217K - $303K/yr

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 ...

Honor

Staff Data Scientist

Portland, OR · Remote

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 ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

We're looking for data scientists who can work at this frontier: people who understand biological measurement deeply, think creatively about data representations and tokenization strategies, and can ...

Biohub

Staff Data Scientist, Genomics

Redwood City, CA · On-site +1

We're looking for a data scientist with deep expertise in genomics (e.g., bulk and single-cell sequencing, functional genomics, CRISPR screens), who thinks creatively about data representation and ...

Mozilla

Staff Data Scientist, Firefox

This Staff Data Scientist will own the analytical strategy for a major product area: identifying ... C #LI-REMOTE Req ID: R3103 Hiring Ranges: US Tier 1 Locations $163,000-$218,000 USD US Tier 2 ...

Reddit

Staff Data Scientist, Marketing

We're completely remote friendly. Team Description: The Marketing Science team at Reddit leverages ... Reddit is looking for a highly experienced Staff Data Scientist to lead the strategy and technical ...

Machinify

Staff Data Scientist | Analytics

$180K - $240K/yr

Partner cross-functionally with Product, Data Science, Engineering, and Operations teams to deliver analytics-ready solutions * Build foundational data assets - base data sets, aggregates, and ...

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

As of Jun 10, 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 are some 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.

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

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 is a Remote Staff Data Scientist job?

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.

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Staff Data Scientist

Staff Data Scientist

Calix

Remote

Full-time

Posted 28 days ago

Job description

The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One - our cloud-first, AI-powered platform - CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth. This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve.
We're at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.
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 data. You will work closely with senior data scientists, engineers, and product teams to build models and insights that power network intelligence, service assurance, and subscriber experience analytics within Calix's cloud platforms.
This role is ideal for PhD candidates with min 5 yrs of experience who want to translate research into production-grade AI capabilities embedded directly into Calix Cloud products.
Key Responsibilities
Calix Cloud - Analytics & AI
  • Analyze and model large-scale broadband telemetry and time-series data used by Calix cloud, including throughput, latency, packet loss, utilization, and device-level metrics, and many more.
  • Develop and validate ML models for Upsell, cross-sell, churn prevention, customer acquisition, anomaly detection, performance forecasting, fault classification, and capacity prediction that drive proactive network insights
  • Build features and models supporting network health scoring, service quality monitoring, and subscriber Quality of Experience (QoE) analytics
  • Apply advanced techniques such as time-series modeling, change-point detection, and probabilistic modeling to real-world broadband data

Calix Cloud - Platform & Scale
  • Collaborate with data engineering and platform teams to develop and integrate models into Calix Cloud's cloud-native analytics pipelines
  • Perform EDA, feature engineering, and data preprocessing for scalable, production pipelines
  • Help scale analytics and ML solutions across millions of access devices, subscriber endpoints, and Wi-Fi environments
  • Design experiments and evaluate the business and operational impact of analytics on network performance and subscriber experience
  • Build scalable ML pipelines and deploy models into production environments.

Communication & Product Collaboration
  • Communicate insights clearly to product, engineering, and customer-facing teams via dashboards, reports, and presentations
  • Translate ambiguous product and operational problems into well-defined data science and ML solutions
  • Follow best practices in model lifecycle management, including versioning, validation, and deployment monitoring

Required Qualifications & Technical Skills
Education
  • PhD in Data Science or Computer Science

Data Science & Machine Learning
  • Strong foundation in statistics, probability, and linear algebra
  • Experience working with large-scale time-series and telemetry datasets typical of broadband analytics
  • Hands-on experience with ML techniques, including:
    • Regression and classification
    • Clustering and dimensionality reduction
    • Time-series analysis and forecasting
    • Anomaly detection and change-point detection
  • Experience with model evaluation, validation methods, and performance metrics

Programming & Data Analysis
  • Strong programming skills in Python and familiarity with ML libraries NumPy, pandas, SciPy, scikit-learn
  • Strong SQL skills for large-scale data analysis
  • Ability to write clean, maintainable, and testable code
  • Experience with data preprocessing, feature engineering, and exploratory data analysis (EDA)

Broadband / Network Data Fundamentals
  • Experience in analyzing broadband network and service telemetry
  • Ability to work with metrics such as latency, throughput, packet loss, utilization, and device-level signals
  • Understanding of noisy, incomplete, and delayed data common in broadband environments
  • Ability to reason about data across devices, subscribers, locations, and time windows

Analytical Thinking & Communication
  • Strong problem-solving skills and the ability to translate ambiguous product or network problems into analytical solutions
  • Clear written and verbal communication skills
  • Experience presenting insights through charts, dashboards, and reports

Preferred Qualifications
  • Experience or research in broadband access networks, subscriber analytics, or network intelligence
  • Familiarity with Calix-relevant broadband technologies such as Fiber (PON), Cable (DOCSIS), and Wi-Fi telemetry
  • Experience with cloud-native data platforms (AWS, GCP, Azure) and ML deployment frameworks
  • Exposure to MLOps practices, including CI/CD, model monitoring, and lifecycle management
  • Knowledge of real-time analytics, streaming data, or large-scale data ecosystems
  • Publications or applied research in network analytics, anomaly detection, forecasting, or machine learning

The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.
San Francisco Bay Area:
156,400 - 265,700 USD Annual
All Other US Locations:
136,000 - 231,000 USD Annual
As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.

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