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Remote Behavioral Data Scientist Jobs in Missouri

Senior AI Engineer

Chesterfield, MO ยท Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join ...

Imagery Scientist (EO) - Senior

Saint Louis, MO ยท On-site +1

$160K - $190K/yr

Assess potential differences in metadata, data format, and data structure characteristics in regard ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Data Engineer - Multiple Positions

Chesterfield, MO ยท Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

This role offers an opportunity to combine biological science, data management, and digital ... Europe-remote working arrangement. * International and multidisciplinary working environment.

$112K - $148K/yr

Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products What Skills You Have Required * 4+ years of experience in software ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... and behavioral data. Examples include: * Representation learning over long-horizon customer ...

New

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... and behavioral data. Examples include: * Representation learning over long-horizon customer ...

New

Showing results 21-40

Remote Behavioral Data Scientist information

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.

What are the most commonly searched types of Behavioral Data Scientist jobs in Missouri?

The most popular types of Behavioral Data Scientist jobs in Missouri are:

What are popular job titles related to Remote Behavioral Data Scientist jobs in Missouri?

For Remote Behavioral Data Scientist jobs in Missouri, the most frequently searched job titles are:

Data Architect

Federal Reserve Bank of San Francisco

Saint Louis, MO โ€ข On-site, Remote

$62 - $79.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

CompanyFederal Reserve Bank of St. LouisThe Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworksto support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application Architectto ensure seamless integration between data platforms and application services.

Key Responsibilities

  • Define and evolve the target data architecturesupporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Required Qualifications

  • 7-10+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired. Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions.
  • Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability.
  • Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Strong recent hands-on experience with PostgreSQL, including schema design, advanced indexing strategies, partitioning, query optimization, and high-availability configurations, ideally in the context of large-scale time-series.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
  • Candidates with less experience may be considered at a lower job grade or salary.

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Additional Information

Location(s):

  • The selected candidate willresidewithin a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.
  • Locations:Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA
  • Remote Eligible: No
  • Current remote employees will not be guaranteed to keep their remote status with their employing bank.

Salary

Salary for St. Louis: $140,000 - $170,000

  • The listed salary is applicabletothe Federal Reserve Bank of St. Louis.Final offers aredeterminedby factors including the candidate's qualifications, internal alignment considerations, district assignment, and geographic location.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

In addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance:

  • Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
  • 401k/Thrift Plan with generous employer match
  • Employer-funded Pension Plan
  • Paid Vacation/Sick Time and Holidays
  • Flexible Spending Accounts and Healthcare Spending Accounts
  • Life Insurance and Long Term Disability Insurance
  • Tuition Reimbursement (undergraduate and graduate)
  • Parental Leave
  • Free onsite 24/7 Fitness Center including training classes, and locker room / shower facilities
  • Onsite Cafeteria and Coffee Shop
  • Additional Convenience Benefits, Discounts and More...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank'sculture.

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer. #LI-Onsite

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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