Bear Cognition, Inc.

About the Company

At Bear Cognition, we don't sell software, we build intelligence that solves real problems. Our platform combines AI-Enhanced Analytics, Process Optimization, Scalable Automation, and Agentic Intelligence into what we call the Bear Cognition Execution Stack, the backbone of every solution we deploy. Whether you're struggling with manual reporting, fragmented data systems, or underperforming workflows, we design, build, and manage intelligence systems that don't just work, they elevate how your business thinks, operates, and scales. Our innovative Software with a Service (SwaS(r)) model combines scalable technology with high-touch professional services, providing a distinct approach to business intelligence and operational efficiency. Our Data Lab pioneers cutting-edge technologies, including large language models (LLMs), AI/ML algorithms, and predictive analytics tools. Whether it's improving manufacturing cycles, optimizing 3PL operations, or enhancing marketing performance, we deliver high-impact results that drive growth and improve margins. Bear Cognition is a proud AWS Advanced Tier Services Partner as well as Snowflake AI Data Cloud Services Select Partner. Learn more by completing the form below or contact us directly.

Listed Jobs

Company Name

Bear Cognition, Inc.

Job Title

Data Scientist

Job Description

Job Title: Data Scientist Role Summary: Develop, deploy, and monitor machine‑learning models on client data to generate actionable insights and visualizations. Lead end‑to‑end AI/ML projects, collaborate with stakeholders, and document best practices. Expectations: * Deliver accurate, efficient, and well‑documented AI/ML solutions on schedule. * Communicate technical findings to non‑technical audiences in clear, visual formats. * Support customers and internal teams with data queries and model troubleshooting. * Continuously research and incorporate new AI techniques to add value to projects. Key Responsibilities: * Design, build, test, and deploy ML models (Python/SQL, Pandas, Scikit‑learn, MLflow). * Manage full ML lifecycle: data ingestion, feature engineering, training, validation, deployment, monitoring. * Create dynamic dashboards and visualizations that translate model outputs into business metrics. * Write and maintain documentation on model design, assumptions, and best practices. * Work across the tech stack (architecture, UX, APIs) to integrate models into production systems. * Identify and address business obstacles through data analysis. * Act as first‑line support for data and model‑related questions. * Collaborate with peers to develop processes, frameworks, and quality standards. Required Skills: * 3+ years data science experience. * Proficiency in Python, SQL, Pandas, Scikit‑learn, MLflow. * Strong mathematical foundation (probability, queuing theory, linear programming, game theory, Poisson). * Advanced statistical analysis and capability to build complex formulas. * Excellent communication, presentation, and visual storytelling skills. * Organizational ability to meet fixed deadlines. * Collaborative mindset, continuous learning, problem‑solving, critical thinking. Required Education & Certifications: * Bachelor’s degree in Data Science, Statistics, or related field *or* 3 years of relevant work experience. Preferred Experience: * Client‑facing ML model development. * Generative AI (RAG, agents, Text2SQL), familiarity with LangChain/Graph. * Snowflake, AWS SageMaker/Bedrock. * MLOps best practices, Flask/FastAPI, web application frameworks.

North charleston, United states

Hybrid

Junior

26-01-2026