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Remote Principal Data Scientist Jobs (NOW HIRING)

TradeStation Group, Inc.

Principal Data Scientist

#WeAreTradeStation Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey ... The Principal Data Scientist will write clean, production-grade code, stay genuinely curious about ...

TradeStation

Principal Data Scientist

#WeAreTradeStation Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey ... The Principal Data Scientist will write clean, production-grade code, stay genuinely curious about ...

Mutual of Omaha

Principal Data Scientist

Omaha, NE · Remote

Remote Categories: Information Technology We're currently seeking a Principal Data Scientist specializing in Generative AI to lead the transformation of our business through the design, development ...

Sedgwick

Principal Data Scientist

Minto, AK · On-site +1

... Principal Data Scientist JobResponsibilities ... Strongmentoringandtechnicalleadershipcapabilities. #LI-TS1 #remote Sedgwickis an Equal Opportunity ...

BitSight

Principal Data Scientist

Boston, MA · On-site +1

Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote We are hiring a visionary Principal Data Scientist in a critical senior technical leadership role ...

Cimpress/Vista

What You Will Do As the Principal Data Scientist , you will drive the generative and context-aware ... We are an award winning Remote-First company. We're an inclusive community. We're growing (which ...

Zillow

Principal Data Scientist - Rentals Shopping

$169K - $270K/yr

We are seeking a Principal Data Scientist to serve as the data science lead for the Rentals ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Mission Lane

Principal Data Scientist, Operations

$183K - $204K/yr

About the Role As a Principal Data Scientist, you will innovate and improve the machine learning ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

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

As of Jul 26, 2026, the average yearly pay for remote principal data scientist in the United States is $144,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $169,000.00 per year, depending on experience, location, and employer.

What is a Remote Principal Data Scientist?

A Remote Principal Data Scientist is a senior-level data science professional who leads complex analytics projects and strategic data initiatives while working from a location outside the traditional office setting. They are responsible for designing advanced data models, mentoring junior data scientists, and collaborating with cross-functional teams to drive business decisions using data. This role typically involves setting data science standards, overseeing the development of predictive models, and ensuring the quality and impact of data-driven solutions. Remote Principal Data Scientists leverage communication technologies to coordinate with their teams and stakeholders across different locations.

What is the difference between Remote Principal Data Scientist vs Remote Data Scientist?

AspectRemote Principal Data ScientistRemote Data Scientist
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsBachelor's or Master's degree, some experience in data analysis
Work EnvironmentStrategic, leadership-focused, cross-functional teamsHands-on data analysis, model development, reporting
Employer & Industry UsageTech, finance, healthcare companies seeking senior expertiseStartups, tech firms, research institutions
Search & Comparison IntentUnderstanding senior vs. entry-level rolesEntry to mid-level data analysis roles

The Remote Principal Data Scientist typically holds a senior, strategic role with leadership responsibilities, requiring advanced credentials and extensive experience. In contrast, the Remote Data Scientist is more focused on hands-on analysis and model development, often suitable for those with less experience. Both roles are common in tech-driven industries but differ significantly in scope and seniority.

How do Remote Principal Data Scientists typically collaborate with cross-functional teams while working offsite?

Remote Principal Data Scientists frequently collaborate with product managers, engineers, and business stakeholders using virtual communication tools such as Slack, Zoom, and project management platforms. They often lead or participate in regular video meetings to discuss project goals, share data insights, and align on priorities. Establishing clear documentation, asynchronous updates, and strong communication habits are key to ensuring all team members remain informed and engaged. This collaborative approach helps maintain productivity and fosters innovation, even when team members are distributed across different locations.

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

To thrive as a Remote Principal Data Scientist, you need advanced expertise in statistical analysis, machine learning, and programming (often with a PhD or master's in a quantitative field and substantial industry experience). Proficiency with tools like Python, R, SQL, cloud platforms (AWS, GCP, or Azure), and machine learning frameworks such as TensorFlow or PyTorch is critical, along with experience deploying models at scale. Exceptional communication, leadership, and problem-solving skills help you guide teams and translate complex data insights into actionable business strategies. These skills and qualities are essential to drive impactful, data-driven decisions and lead high-level projects effectively in a remote environment.
More about Remote Principal Data Scientist jobs
What cities are hiring for Remote Principal Data Scientist jobs? Cities with the most Remote Principal Data Scientist job openings:
What are the most commonly searched types of Principal Data Scientist jobs? The most popular types of Principal Data Scientist jobs are:
What states have the most Remote Principal Data Scientist jobs? States with the most job openings for Remote Principal Data Scientist jobs include:
What job categories do people searching Remote Principal Data Scientist jobs look for? The top searched job categories for Remote Principal Data Scientist jobs are:
Remote Principal Data Scientist jobs near you
Infographic showing various Remote Principal Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $144,009 per year, or $69.2 per hour.
Principal Data Scientist

Principal Data Scientist

TradeStation Group, Inc.

Remote

Full-time

PTO

Posted 16 days ago

Job description

#WeAreTradeStation
Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey, Colorado, Idaho, Massachusetts, Michigan, Minnesota, Missouri, North Carolina, South Carolina, Utah or Virginia
Who We Are:
TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators.
At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that's using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you're joining a culture where AI is how we work.
Are you ready to make yourself at home?
What We Are Looking For:
We're seeking a Principal Data Scientist to help design, build, and deploy advanced analytics and machine learning solutions that power TradeStation's trading platform, client experience, and business operations. Reporting to the Sr. Director of AI, Data Science & Enterprise Data, this role will own the full data science lifecycle - from exploratory analysis and model development through production deployment and ongoing monitoring.
This role is for a self-directed practitioner who thrives without hand holding. The ideal applicant will proactively identify opportunities where data science can create meaningful impact, build the solutions, and iterate rapidly. The Principal Data Scientist will write clean, production-grade code, stay genuinely curious about emerging AI and ML techniques, and independently learn new tools before being asked to. The applicant should be equally at home in a Jupyter notebook and a production ML pipeline.
This role will work closely with Product, Engineering, Compliance, and Analytics teams to build predictive models, behavioral analytics, and AI-powered capabilities that give TradeStation a competitive edge.
What You'll Be Doing:
Modeling & Machine Learning
  • Own the end-to-end ML lifecycle - from problem framing and feature engineering through model training, validation, deployment, and ongoing performance monitoring
  • Help build and deploy predictive models across a range of use cases including customer behavior, fraud and anomaly detection, trade surveillance, risk modeling, and personalization
  • Design and implement real-time and batch ML pipelines that operate reliably at scale in production environments
  • Develop behavioral anomaly detection and pattern recognition systems using statistical and deep learning approaches
  • Apply NLP and LLM techniques to extract insights from unstructured data - trade notes, client communications, market commentary, and internal documentation

Analytics & Visualization
  • Translate complex data into clear, compelling visualizations and narratives for both technical and executive audiences
  • Help design and build dashboards and analytical tools that empower stakeholders to make faster, more informed decisions
  • Conduct exploratory data analysis to surface trends, anomalies, and opportunities across trading behavior, customer segments, and platform performance
  • Define, track, and interpret key business and model performance metrics; proactively surface meaningful insights without waiting to be asked

AI Integration & Innovation
  • Stay at the forefront of AI and ML research - continuously evaluate and adopt emerging techniques (GenAI, RAG, agents, multimodal models) where they create real business value
  • Leverage AI tools (Claude, LLMs, foundation models) to accelerate your own development workflow, from code generation to documentation to data profiling
  • Experiment rapidly with new approaches; fail fast, iterate, and bring winning solutions to production
  • Contribute to TradeStation's AI governance standards by ensuring models are interpretable, fair, and deployed responsibly

Strategic Impact & Communication
  • Partner with Product and Engineering to define the data and modeling requirements for new platform features
  • Work with Compliance and Risk teams to build surveillance and monitoring systems that meet regulatory requirements
  • Communicate results and recommendations clearly to non-technical stakeholders; translate business questions into rigorous analytical frameworks

The Skills You Bring:
  • Self-Starter & Independent Learner -proactively identify problems worth solving, learn new techniques without being prompted, and drive projects to completion without needing direction
  • Full-Stack Data Science - proven ability to own the complete lifecycle: problem definition, data wrangling, feature engineering, modeling, deployment, and monitoring in production environments
  • Machine Learning Depth - strong command of supervised, unsupervised, and reinforcement learning methods; experience with time series, anomaly detection, NLP, and deep learning; know when to use simple models and when to go complex
  • Software Engineering Fundamentals - writes production-quality Python; comfortable with version control (Git), containerization (Docker), and MLOps best practices; code that others can maintain
  • Data Platform Proficiency - hands-on experience with Databricks, Spark, or Snowflake; able to write and optimize complex SQL; understands data modeling and pipeline design
  • Visualization & Storytelling - ability to build polished, insight-driven visualizations and dashboards (Tableau, Power BI, Plotly, Sigma); presents data science work in business terms
  • AI-Native Workflow - actively uses AI tools (Claude, Copilot, LLMs) in day-to-day work; has hands-on experience with LLM APIs, prompt engineering, or GenAI application development
  • Statistical Rigor - solid grounding in probability, statistics, and experimental design; applies A/B testing and causal inference correctly; doesn't overfit spurious signals
  • Cross-Functional Collaboration - comfortable working across Product, Engineering, Compliance, and Analytics; can present findings to executives and translate business requirements into analytical solutions
  • Financial Services Domain- experience with trading data, market microstructure, customer behavior in financial platforms, fraud detection, or regulatory compliance analytics strongly preferred
  • Experience building and monitoring ML models in production using MLflow, SageMaker, Vertex AI, or similar MLOps platforms preferred
  • Hands-on experience with LLM APIs, RAG architectures, or AI agent frameworks preferred
  • Track record of self-directed learning - personal projects, open-source contributions, Kaggle competition history, technical writing, or conference presentations preferred
  • Experience with fraud detection, behavioral anomaly detection, trade surveillance, or risk modeling in financial services preferred
  • Familiarity with real-time streaming data (Kafka, Spark Streaming) and low-latency model serving preferred
  • Experience with cloud ML infrastructure (Azure, AWS, or GCP) and distributed computing preferred

Minimum Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • 7+ years of experience in data science or applied machine learning roles, with demonstrated ownership of models deployed to production

Desired Qualifications:
  • Master's or PhD in a quantitative discipline

What We Offer:
  • Collaborative work environment
  • Competitive Salaries
  • Yearly bonus
  • Comprehensive benefits for you and your family starting Day 1
  • Unlimited Paid Time Off
  • Flexible working environment
  • TradeStation Account employee benefits, as well as full access to trading education materials
  • Pay Range (US) $140-180K (Countries outside of the US have differing ranges in accordance with local labor markets)

TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws.
#LI-Remote

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