Job Description
In this Data Scientist II role at CJ, you will build and scale data science, AI, and analytics solutions that drive smarter marketing decisions and power innovation across the business. You will work at the intersection of machine learning, data engineering, and analytics, developing production‑ready models, data pipelines, and data products that support areas such as LLM visibility, conversational analytics, and next‑generation marketing intelligence.
You will partner closely with Data Science, Engineering, and Product teams to design and deliver scalable solutions, including recommendation systems, AI‑driven applications, and modern data workflows. This role is ideal for someone who enjoys solving complex problems, working with large‑scale data, and building solutions that are used across both internal teams and client‑facing applications.
Responsibilities
- Own end‑to‑end data science projects, including scoping, data exploration, modeling, validation, and delivery of insights
- Analyze large‑scale e‑commerce and advertising datasets to find opportunities and support growth strategies
- Develop and maintain machine learning models, including recommendation systems, with a focus on performance and scalability
- Build and support conversational analytics solutions using modern AI and foundational models
- Design and implement scalable data pipelines and workflows in a cloud‑based environment
- Create Tableau dashboards and BI‑driven chatbot or agent solutions that translate complex analysis into clear, actionable insights
- Collaborate with cross‑functional teams to deliver scalable data and AI solutions
- Communicate technical findings and recommendations to both technical and non‑technical collaborators
Qualifications
- 3 to 5 years of experience in data science, analytics, or a related field
- Hands‑on experience with Python, PySpark or Scala, and Tableau or Power BI
- Experience using GitLab or GitHub for version control and collaborative development
- Experience working with cloud‑based data platforms such as Databricks or Snowflake
- Experience in AdTech or MarTech, ideally within e‑commerce, travel, or finance
- Proven ability to build scalable data solutions and deliver actionable insights
- Experience working with or building AI‑driven solutions, including LLM‑based applications
- Familiarity with machine learning techniques such as recommendation systems, clustering, or reinforcement learning
- Strong communication skills with the ability to clearly explain technical concepts to a range of stakeholders
Preferred
- Experience integrating LLMs into business workflows or building conversational analytics solutions
- Experience developing APIs or services using tools such as FastAPI
- Experience with medallion architecture for ETL/ELT workflows
Additional Information
This is a hybrid role requiring 3 days a week in Atlanta or Chicago
You must be work authorized in the United States without the need for employer sponsorship.
Benefits
- Flexible time off without the hassle of accrual
- A generous number of paid holidays
- Company‑sponsored team‑building events
- An Employee Referral Program
- Annual recognition awards
- Hybrid work arrangements for optimal work‑life balance
- Parental bonding leave
- Backup care options for children and elders
- An employee discount program
- International SOS program for global support
- Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment
Compensation
Compensation Range: $88,540.00 - $127,155.00 Annually.
All your information will be kept confidential according to EEO guidelines.