Data Scientist, AI Native
ConsumerAffairs
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Design and build AI-driven solutions to understand consumers and improve market performance.
- Partner with engineering, product, and business leaders on predictive models and data products.
- Work across the full lifecycle of AI and data science solutions—identifying opportunities, building models, and iterating based on performance.
- Operate in a modern data environment with tools like AWS, Databricks, and Python.
- Evaluate and apply emerging AI technologies for productivity and new capabilities.
- Develop scalable data pipelines and feature engineering workflows using Python, SQL, and cloud platforms.
- Own the model lifecycle—training, evaluating, monitoring, and iterating models.
- Contribute to ML operations workflows, including infrastructure configuration and API development.
- Communicate insights and model results clearly through dashboards and visualizations.
Requirements
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field, or equivalent practical experience.
- Approximately 1-3 years of experience in data science, machine learning, or applied AI roles.
- Strong experience with Python for data science and machine learning
- Solid experience using SQL for querying and transforming large datasets
- Experience building data pipelines and reproducible analytics workflows
- Experience developing and deploying machine learning models using libraries such as scikit-learn, TensorFlow, PyTorch, or similar frameworks
- Experience working with large language models (LLMs) and generative AI tools
- Understanding of feature engineering, model evaluation, and experimentation frameworks
- Experience working in cloud-based environments (AWS preferred)
- Familiarity with Databricks or similar collaborative data platforms
- Experience with version control (Git/GitHub) and collaborative development workflows
- Exposure to ML operations practices, including model deployment, monitoring, and API development
- Ability to communicate complex information in a direct and actionable fashion.
- Strong analytical and problem-solving skills.
- Strong verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
- Ability to prioritize tasks, meet aggressive deadlines, and work independently as well as collaboratively in a team environment.
- Stands up for decisions, takes responsibility for results, and shares both good and bad outcomes transparently.
- Demonstrates a relentless focus on results with a commitment to deliver; always starts with a positive attitude.
- Takes decisive action, and confidently changes course if unsuccessful.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLmachine learningdata sciencefeature engineeringmodel evaluationscikit-learnTensorFlowPyTorchlarge language models
Soft Skills
analytical skillsproblem-solving skillsverbal communicationwritten communicationtask prioritizationindependencecollaborationresponsibilityresults-orienteddecisiveness