As an AI Native, Junior Data Scientist at ConsumerAffairs, you'll play a key role in supporting the development of AI-native, data-driven solutions that help us understand our customers, optimize decision-making, and drive business growth. You'll collaborate with experienced data scientists and cross-functional teams to explore datasets, build lightweight predictive models, and apply modern machine learning techniques to real-world problems using platforms like AWS EC2 and Databricks.

This role is hands-on, iterative, and deeply collaborative. You'll contribute to every stage of the analytics workflow-from understanding business needs and identifying impactful use cases, to cleaning data and experimenting with AI-powered tools and algorithms. You'll also gain exposure to core ML operations work, including server configuration, API development, and deploying models into production environments. As an AI-native team member, you're expected to embrace and actively explore emerging AI technologies that enhance productivity and innovation. Your natural curiosity and analytical mindset will help us turn data into insights that scale.

This is an ideal opportunity for someone eager to build foundational skills in data science while contributing to an organization that sees AI as a strategic lever for growth.

What You'll Do

Collaborate cross-functionally with internal teams and external partners to understand business challenges, define analytics objectives, and explore how data science can support ConsumerAffairs' growth.

Identify relevant data needs and work with technical stakeholders to determine how to access, collect, or engineer data-considering quality, structure, and feasibility across environments such as AWS and Databricks.

Build reproducible data pipelines using clean, maintainable code (e.g., Python, SQL) to ingest and prepare data for analysis in scalable and well-documented formats. Utilize version control tools such as GitHub and track progress through project tools like Jira.

Explore and apply machine learning techniques-including generative AI and large language models (LLMs)-to extract insights, generate predictions, and support business decision-making. Contribute to model training, tuning, and evaluation on platforms like Databricks.

Participate in ML operations tasks such as configuring compute environments, developing and testing APIs for model access, and supporting batch or real-time deployment into production systems.

Stay current with AI and analytics trends, including new tools, models, and methodologies (e.g., OpenAI, Anthropic, managed cloud platforms) that can accelerate experimentation and impact.

Present analytical results clearly, using visualizations, dashboards, or reports tailored to different audiences-translating technical insights into actionable recommendations.

Support continuous improvement by suggesting opportunities for deeper analysis, feature development, or data strategy enhancements based on findings and business needs.

Requirements

Bachelor's Degree in Mathematics, Engineering, Statistics, Economics or related analytic field, or equivalent work experience.

1-2 years of experience working in a data analyst, data science, or machine learning role.

1-2+ years experience using at least one of R and Python, or similar languages.

1-2+ years experience using SQL or similar language.

1-2+ years experience in a relevant position involving the analysis of data and creation of reports.

Familiarity with Business Intelligence tools (such as Tableau or Power BI) and modern data platforms (e.g., Snowflake).

Knowledge of popular data science toolkits, such as Python's Keras, TensorFlow, or scikit-learn.

Exposure to cloud-based environments (e.g., AWS EC2), collaborative notebooks (e.g., Databricks), and working with structured APIs for model deployment.

Comfortable using GitHub for version control and Jira for project/task management in collaborative team settings.

Understanding of basic ML operations workflows including model monitoring, batch jobs, and lightweight API development.

Familiarity with modern LLM ecosystems such as OpenAI or Anthropic is a plus.

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.

Displays a growth mindset to continually improve; encourages everyone around them to be tenacious and never settle.

Constantly seeks feedback to improve; focuses on solving issues through teamwork and collaboration.

Benefits

Why You'll Love Working Here

At ConsumerAffairs, your voice matters. We foster a collaborative environment where you're encouraged to take initiative, experiment boldly, and grow professionally. We're committed to work-life harmony, career development, and celebrating wins together.

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

ConsumerAffairs

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