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Senior Behavioral Data Scientist Jobs (NOW HIRING)

TENEX.AI

Senior Data Scientist

San Jose, CA · On-site

They are seeking a Senior Data Scientist to design, build, and deploy machine learning models that ... and behavioral analytics. • Conduct feature engineering and selection on vast, high-velocity ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

NOVELIS

Sr Data Scientist (APM)

Atlanta, GA · On-site

The Senior Data Scientist helps convert prioritized APM use cases into reliable production ... Analyze sensor, historian, maintenance, and operational data to identify asset behavior, failure ...

Novelis

Sr Data Scientist (APM)

Atlanta, GA

The Senior Data Scientist helps convert prioritized APM use cases into reliable production ... Analyze sensor, historian, maintenance, and operational data to identify asset behavior, failure ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

GoFundMe

Staff Data Scientist (Pricing)

San Diego, CA · On-site

Communicate insights effectively to senior leaders, humanize donor behavior through narrative, and ... other data scientists and elevate pricing science across the organization. You Experience ...

GoFundMe

Staff Data Scientist (Pricing)

San Diego, CA · On-site

Communicate insights effectively to senior leaders, humanize donor behavior through narrative, and ... other data scientists and elevate pricing science across the organization. You Experience ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · On-site

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to ... Our values and behaviors are the root of our culture. They are how we achieve our strategy, power ...

KJ Corp

Senior Data Scientist

Lewisburg, TN

$50 - $70/hr

Senior Data Scientist Location: Nashville, TN 37091 Work Arrangement: On-Site Employment Type: Full-Time About This Opportunity We're seeking an experienced Senior Data Scientist to lead our data ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to ... Our values and behaviors are the root of our culture. They are how we achieve our strategy, power ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ...

Vibrant

Senior Data Scientist

Manhattan, NY · On-site

$99K - $132K/yr

Senior Director, Data Science and Machine Learning Location: Remote; hybrid to NYC office highly ... Experience in public health, behavioral health, social services, or a mission-driven organization a ...

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Senior Behavioral Data Scientist information

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$41.5K

$142.5K

$201K

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

As of Sep 15, 2026, the average yearly pay for senior behavioral data scientist 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 is the difference between Senior Behavioral Data Scientist vs Behavioral Data Scientist?

AspectSenior Behavioral Data ScientistBehavioral Data Scientist
Required ExperienceTypically 5+ years in data science, specialized in behavioral analyticsEntry to mid-level, 1-3 years experience in data analysis and behavioral modeling
ResponsibilitiesLeading projects, developing advanced models, mentoring juniorsSupporting data analysis, building models, assisting senior team members
Work EnvironmentCross-functional teams, strategic projects, often in tech or marketing firmsData teams, research projects, applied in marketing, UX, or product development

The main difference lies in experience and responsibility level. Senior Behavioral Data Scientists lead projects and mentor others, while Behavioral Data Scientists focus on supporting analysis and model development. Both roles require strong analytical skills and knowledge of behavioral data, but the senior role demands more experience and leadership responsibilities.

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For Senior Behavioral Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Senior Behavioral Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist

San Jose, CA • On-site

TENEX.AI
See more jobs at TENEX.AIexternal

Full-time

Re-posted 5 days ago

Job description

Job Summary:
TENEX is an AI-native, automation-first Managed Detection and Response (MDR) provider aiming to enhance cybersecurity through advanced threat detection and rapid response. They are seeking a Senior Data Scientist to design, build, and deploy machine learning models that improve their AI-driven cybersecurity platform, focusing on high-fidelity threat detection and predictive security intelligence.
Responsibilities:
• Design, develop, train, and deploy high-performance machine learning models for critical security tasks such as threat detection, anomaly scoring, and behavioral analytics.
• Conduct feature engineering and selection on vast, high-velocity streams of security data (logs, network telemetry, endpoint data).
• Own the model lifecycle, including versioning, rigorous testing, and continuous improvement through MLOps best practices.
• Stay up-to-date on state-of-the-art research in data science, deep learning, and security-specific AI to drive platform innovation.
• Explore novel statistical methods and machine learning techniques to tackle emerging and sophisticated cyber threats.
• Design and implement A/B testing and evaluation frameworks to measure the impact and performance of deployed models.
• Partner with Data Engineers to define, preprocess, and structure large, complex datasets for model training and inference.
• Implement and manage data pipelines specifically for feature extraction and model serving.
• Leverage vector databases and RAG (Retrieval-Augmented Generation) pipelines for enhanced security context and large language model applications.
• Work closely with Security Operations to understand real-world threat landscapes and ensure model outputs are actionable and integrated into workflows.
• Collaborate with Product Managers to define AI features and translate model performance into measurable business value.
• Present complex analytical findings and model behavior clearly to technical and non-technical audiences.
Qualifications:
Required:
• 5+ years of professional experience in Data Science, Machine Learning Engineering, or a related quantitative field.
• Strong theoretical and practical experience with a wide range of ML models (e.g., classification, clustering, time-series, deep learning).
• Proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
• Expertise in SQL and experience working with large-scale data warehouses (Snowflake, BigQuery, or Redshift).
• Demonstrated experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow/Dagster for orchestration).
• Solid understanding of probability, statistics, and experimental design.
• Experience deploying and maintaining models in a cloud environment (GCP or AWS).
• Excellent communication skills with the ability to drive projects autonomously and translate business needs into technical requirements.
Preferred:
• Prior experience applying data science/ML in the cybersecurity or security analytics domain, particularly in MDR or MSSP environments.
• Experience with real-time / streaming data systems (Kafka, Pub/Sub, Kinesis) for low-latency threat detection.
• Familiarity with the use of Vector Databases and RAG architectures.
• Experience with modern analytics engineering frameworks.
• Experience working in an early-stage startup environment.
Company:
TENEX.AI is a cybersecurity company that combines human expertise with artificial intelligence to protect digital assets. Founded in 2024, the company is headquartered in Sarasota, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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