ZipRecruiter

Log In

2

Remote Behavioral Data Scientist Jobs (NOW HIRING)

TradeStation Group, Inc.

Principal Data Scientist

#WeAreTradeStation Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey ... Develop behavioral anomaly detection and pattern recognition systems using statistical and deep ...

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a ...

Accurant International

Data Scientist

$120K - $150K/yr

Remote (US ONLY) Status: Exempt Salary Range: $120K to $150K USD Job Title: Data Scientist Position ... Model asset behavior, weather impacts, and behind-the-meter resources * Translate operational and ...

Audiohook

Data Scientist

Eden, UT · On-site +1

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Premier, Inc.

Data Scientist

Data Scientist What you will be doing: This position will have responsibility for conceptualizing ... Remote Travel Requirements: Travel 1-20% within the US Physical Demands: Sedentary: Exerting up to ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0246027 Location: Fayetteville,NC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a ...

Docker

Data Scientist, Data Insights

Seattle, WA · On-site +1

Our remote-first team spans the globe, united by a passion for innovation and great developer ... Understand detailed usage of Docker products by analyzing user behavior data, translating complex ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... We leverage our proprietary Apollo ® technology platform to predict consumer behavior, personalize ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location ... Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... We leverage our proprietary Apollo ® technology platform to predict consumer behavior, personalize ...

Reddit

Principal Data Scientist, Ads

Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Data Scientist $139,818.00 - $144,818.00 per year Ability to follow Edelman's hybrid in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required. An employee ...

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

previous page

Showing results 41-60

All JobsBehavioral Data Scientist JobsRemote Behavioral Data Scientist Jobs

Remote Behavioral Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 11, 2026, the average yearly pay for remote behavioral data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a remote behavioral data scientist?

A Remote Behavioral Data Scientist is a professional who analyzes large sets of behavioral data to uncover patterns, trends, and insights about how people act and make decisions. This role is performed remotely, allowing the scientist to work from any location using digital tools to collaborate with teams. They often use statistical modeling, machine learning, and data visualization to interpret user behavior, drive business strategies, and improve products or services. Their work helps organizations better understand customer needs and optimize user experiences based on data-driven evidence.

What are the key skills and qualifications needed to thrive as a remote behavioral data scientist?

To thrive as a Remote Behavioral Data Scientist, you need a solid background in statistics, machine learning, data analysis, and behavioral science, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with cloud-based data platforms are typically required. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for remote collaboration and translating behavioral insights to stakeholders. These skills and qualities are essential for effectively analyzing complex data, delivering actionable insights, and succeeding in a remote, interdisciplinary environment.

How does a remote behavioral data scientist typically collaborate with cross-functional teams despite working remotely?

Remote Behavioral Data Scientists frequently collaborate with product managers, engineers, UX researchers, and other analysts through virtual meetings and shared digital workspaces. Regular communication using project management tools, video conferencing, and collaborative coding platforms ensures alignment on project goals and data insights. Proactive scheduling and clear documentation are vital for overcoming time zone differences and maintaining project momentum. This remote structure encourages autonomy but requires strong self-management and communication skills to be effective.

What is the difference between Remote Behavioral Data Scientist vs Remote Data Analyst?

AspectRemote Behavioral Data ScientistRemote Data Analyst
Required CredentialsMaster's or PhD in Data Science, Psychology, or related fields; experience with statistical modeling and behavioral analysisBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data visualization and basic analysis
Work EnvironmentCollaborates with behavioral scientists, product teams, and research departments in tech or healthcare industriesSupports business decision-making across various industries, often in corporate or consulting settings
Employer & Industry UsageUsed in tech, healthcare, and research organizations focusing on user behavior and psychological insightsCommon in finance, marketing, and business intelligence sectors for data reporting and insights

The Remote Behavioral Data Scientist specializes in analyzing behavioral data to understand human actions, often requiring advanced statistical and psychological expertise. In contrast, the Remote Data Analyst focuses on interpreting data to support business decisions, typically with less emphasis on behavioral theories. Both roles involve data handling but serve different strategic purposes within organizations.

More about Remote Behavioral Data Scientist jobs
What cities are hiring for Remote Behavioral Data Scientist jobs? Cities with the most Remote Behavioral Data Scientist job openings:
What are the most commonly searched types of Behavioral Data Scientist jobs? The most popular types of Behavioral Data Scientist jobs are:
What states have the most Remote Behavioral Data Scientist jobs? States with the most job openings for Remote Behavioral Data Scientist jobs include:
What job categories do people searching Remote Behavioral Data Scientist jobs look for? The top searched job categories for Remote Behavioral Data Scientist jobs are:
Remote Behavioral Data Scientist jobs near you
Infographic showing various Remote Behavioral Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Principal Data Scientist

TradeStation Group, Inc.

Remote

Full-time

PTO

Re-posted 2 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

Apply