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Remote Behavioral Data Science Jobs (NOW HIRING)

AllyNd Partners

Sr. Data Scientist

New York, NY · Remote

Their platform uses alternative signals like purchase behavior, mobile activity, and financial ... their data science team. Were seeking a Senior Data Scientist who thrives in high-autonomy ...

Loaded, LLC

Sr. Data Scientist

Santa Monica, CA · Remote

$110K - $130K/yr

... behavioral datasets and scalable insights To qualify, you have... * 3+ years of experience in data science, machine learning, or advanced analytics roles * Strong experience working with large ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data ...

Loaded

Sr. Data Scientist

Required : • 3+ years of experience in data science, machine learning, or advanced analytics roles • Strong experience working with large behavioral datasets and complex data environments • ...

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Remote Behavioral Data Science information

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$41.5K

$142.5K

$201K

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

As of Jul 18, 2026, the average yearly pay for remote behavioral data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.
More about Remote Behavioral Data Science jobs
What cities are hiring for Remote Behavioral Data Science jobs? Cities with the most Remote Behavioral Data Science job openings:
What are the most commonly searched types of Behavioral Data Science jobs? The most popular types of Behavioral Data Science jobs are:
What states have the most Remote Behavioral Data Science jobs? States with the most job openings for Remote Behavioral Data Science jobs include:
What job categories do people searching Remote Behavioral Data Science jobs look for? The top searched job categories for Remote Behavioral Data Science jobs are:
Remote Behavioral Data Science jobs near you
Infographic showing various Remote Behavioral Data Science job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Sr. Data Scientist

AllyNd Partners

New York, NY • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About AllyNds Client

This client is a mission-driven FinTech startup democratizing credit with behavioral data. Their platform uses alternative signals like purchase behavior, mobile activity, and financial metadata to extend fair credit access to thin- and no-file users. With funding from FinTech-focused VCs and former Plaid/Credit Karma leadership on board, they are entering a high-growth phase and expanding their data science team.

Job Description

Were seeking a Senior Data Scientist who thrives in high-autonomy environments and wants to build ML systems that power life-changing financial decisions. Youll work on risk modeling, fraud detection, and explainable AI to make lending more equitable and intelligent.

Responsibilities

  • Build and productionize machine learning models for credit risk and fraud detection
  • Design real-time scoring systems using behavioral and transactional data
  • Conduct fairness analysis and build explainable AI tooling
  • Lead model validation, AB testing, and drift monitoring
  • Collaborate with data engineers and product managers on model-driven features
  • Contribute to data governance and regulatory compliance efforts

Required Skills

  • 7+ years of experience in data science, ideally in FinTech or financial risk modeling
  • Proficient in Python, SQL, and modeling tools like XGBoost, LightGBM, sklearn
  • Experience with real-time modeling, data pipelines, and stream processing
  • Knowledge of responsible AI practices and interpretability (SHAP, LIME)
  • Strong statistical background and experimental design skills

Preferred Skills

  • Experience with alternative credit models or underwriting
  • Familiarity with regulatory frameworks (FCRA, ECOA)
  • Exposure to tools like H2O.ai, Feature Store integrations, or custom explainers

Benefits

  • 100% remote with async-friendly culture
  • Health, dental, vision coverage + 401(k)
  • Unlimited PTO and mission-focused team

Apply