AI & Advanced Analytics Data Scientist - Flexible

Valid8 Financial, Inc.; Appleton (WI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

401(k) program

Employee assistance program

Disability insurance

Life insurance

AD&D

PTO

Flexible work schedules

Paid holidays

Job summary

Amplifi is seeking a Data Scientist specializing in AI and Advanced Analytics to join our consulting team. You will blend hands‑on technical work with client advisory to design scalable analytics and AI solutions across the full lifecycle—from use cases to production models.

You'll partner with clients to translate business challenges into data‑driven outcomes, build quick proofs of concept, and deploy models for forecasting, segmentation, and pattern detection.

Qualifications

• 5+ years in data science, ML, or analytics.
• Master's degree preferred in Analytics/DS/CS.
• Strong Python/SQL and API/JSON experience.

Responsibilities

• Define business problems with clients and shape analytics/AI solutions.
• Develop quick proofs of concept to scalable data products.
• Access and prepare data via APIs and generate features for modeling.
• Design, build and deploy ML models including LLM/GenAI, CV, and traditional ML.
• Collaborate with engineers to deliver scalable data pipelines on modern platforms.
• Communicate insights via dashboards and storytelling for executives.
• Mentor team members and nurture continuous learning.

Skills

Python

SQL

APIs

Data visualization

Agile

LLMs/GenAI

Education

5+ years data science/analytics

Master's in Analytics/CS/Statistics

Tools

Dataiku

Databricks

Power BI/Tableau

Snowflake/Dataiku

Job description

Amplifi is seeking a Data Scientist specializing in AI and Advanced Analytics to join our consulting team. You will blend hands‑on technical work with client advisory to design scalable analytics and AI solutions across the full lifecycle—from use cases to production models.

You'll partner with clients to translate business challenges into data‑driven outcomes, build quick proofs of concept, and deploy models for forecasting, segmentation, and pattern detection.