Data Scientist

Bear Cognition, Inc.; North Charleston (SC); Hybrid; USD 77,000 - 176,000; Full time

Job summary

Bear Cognition, a leading AI data services company, seeks a Data Scientist to develop and deploy machine learning algorithms that turn complex data into actionable business insights. This full-time, mid-senior level position involves collaboration across diverse teams and direct engagement with clients while working in a hybrid environment.

Benefits

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Tuition assistance

Qualifications

• Minimum of 3 years of data science experience.
• Strong fluency in Python and SQL.
• Experience with developing and deploying machine learning models.

Responsibilities

• Develop and deploy machine learning algorithms on client data.
• Design and build AI/ML solutions including training and monitoring models.
• Provide actionable insights through data visualization.

Skills

Python

SQL

Machine Learning

Data Visualization

Statistical Analysis

Analytical Skills

Communication

Education

Bachelor's degree in Data Science, Statistics, or a related field

Tools

Pandas

Scikit-learn

MLflow

AWS

Snowflake

Job description

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Bear Cognition is a Software with a Service (SwaS) company that combines AI-powered technology with expert consulting to help organizations turn complex data into actionable intelligence. We specialize in AI-enhanced analytics, workflow optimization, and intelligent automation. Our “problem-first, tech-second” approach ensures every solution is tailored to fit the unique business challenges of our clients, delivering faster insights and smarter decisions at scale.

Job Summary

The primary focus of this position will be to develop and deploy Machine Learning Algorithms on client data to provide business insights that will then be communicated in the form of data visualization. The Data Scientist is responsible for data preparation, the ML development cycle, and creating documentation around best practices when it comes to machine learning models. The position may involve direct contact with customers, business consultants, and company executives.

*Bear Cognition runs a hybrid schedule and would require this hire to live in or relocate to the Charleston, SC area.

*Bear Cognition does NOT offer visa sponsorships.

Duties/Responsibilities

• Responsible for products that are accurate, efficient, and well documented.
• Design, architect and build AI/ML solutions. Including the training, testing, deployment, and monitoring of machine learning models in production.
• Develop Agentic AI orchestration pipelines using the lates Generative AI solutions.
• Work hands on across the stack, from architecture and data ingestion to model development and UX integration.
• Works collaboratively with peers to develop quality processes, frameworks and products per agreed timelines.
• Identify business obstacles (through analysis) and produce actionable solutions.
• Exceptional communication skills and ability to work with management at every level
• Provides detailed analysis of customer data that can easily be translated into visual representations.
• Acts as the first line of support for data questions and issues.
• Identify new research topics that have relevancy and value add to our projects.

Requirements

• Minimum of 3 years of data science experience
• Bachelor's degree in Data Science, Statistics, or a related field, or 3 additional years of relevant work experience
• Strong fluency in Python and SQL
• Strong Experience with Developing and Deploying Machine Learning Models using Python or other coding language, while leveraging ML tools such as Pandas, Scikit-learn, and MLflow
• Strong ability to communicate ML model results to peers and to visualizations for non-technical stakeholders
• Experience with GenAI applications, including RAG, agents, Text2SQL
• Familiarity with LangChain, LangGraph and deploying LLM’s
• Strong mathematical knowledge (Queueing Theory, Linear Programming, Game Theory, Probability, Poisson Distributions, etc.)
• Advanced in Statistical Analysis
• Ability to create advanced formulas and dynamic dashboards
• Strong organizational skills, able to deliver within fixed deadlines
• Demonstrates a collaborative mindset and a commitment to continuous learning
• Strong analytical skills, user interface design skills, work ethic, critical thinking, problem solving ability, effective communication skills, and overall positive attitude

Preferred

• Experience with developing machine learning models for clients
• Experience with Generative AI solutions
• Experience with Snowflake
• Experience with Amazon Web Services (AWS) services such as SageMaker and Bedrock
• Knowledge the machine learning lifecycle and MLOps best practices
• Experience with Flask, FastAPI and web application frameworks

Please visit our website to learn more about Bear Cognition at www.bearcognition.com.

Bear Cognition is an Equal Opportunity Employer. Bear Cognition strives to make employment decisions on the basis of merit, seeking the most qualified individuals in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, pregnancy, gender identity or expression, sexual orientation, marital status, national origin or ancestry, genetics, disability, age, veteran status, or other status protected by law. All employment decisions will be based on valid job requirements or other legitimate, non-discriminatory reasons. Bear Cognition offers reasonable accommodations for individuals with disabilities in the job application and hiring process. If you would like to request such an accommodation, please contact the Vice President of Human Resources for Bear Cognition.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development, Information Technology & Services, and Data Infrastructure and Analytics

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Tuition assistance

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