Data Scientist (AI Specialization) Devi Technologies

Devitechs; Town of Texas (WI); On-site; USD 80,000 - 110,000; Full time

Job summary

A technology solutions provider in Wisconsin is seeking an experienced data analyst proficient in machine learning and data visualization. You will interpret complex datasets and develop AI-driven solutions, while also mentoring junior staff. The ideal candidate should have a strong background in advanced ML techniques, and effective communication skills for presenting insights. Join a collaborative team to shape strategic data-driven initiatives that push the boundaries of AI implementation in the organization.

Qualifications

• Experience in analyzing complex datasets for insights.
• Proficiency with machine learning techniques and statistical modeling.
• Ability to present data findings effectively to leadership.

Responsibilities

• Analyze and interpret complex datasets for insights.
• Develop prototypes and proof-of-concept AI models.
• Mentor junior analysts on AI and ML concepts.

Skills

Advanced ML techniques

Data visualization

Exploratory data analysis

Statistical modeling

Python

Deep learning

Natural Language Processing (NLP)

Data storytelling

Tools

Python

R

SQL

Job description

Responsibilities

• ✔️ Analyze and interpret complex datasets to build predictive, prescriptive, and automated insights.
• ✔️ Apply advanced ML techniques such as NLP, LLM fine‑tuning, deep learning, and computer vision.
• ✔️ Build statistical models and AI‑driven solutions to solve business challenges.
• ✔️ Perform exploratory data analysis (EDA) using Python, R, or SQL.
• ✔️ Develop prototypes and proof‑of‑concept AI models.
• ✔️ Work with business leaders to define data‑driven strategies and KPIs.
• ✔️ Research bleeding‑edge AI trends and evaluate opportunities for adoption.
• ✔️ Build and maintain datasets required for training and inference.
• ✔️ Visualize insights through dashboards and storytelling tools.
• ✔️ Implement feature engineering, data transformations, and ML enhancements.
• ✔️ Validate model accuracy using cross‑validation and advanced metrics.
• ✔️ Document methodologies, findings, and recommendations.
• ✔️ Present insights to leadership in a clear and data‑driven manner.
• ✔️ Work closely with ML Engineers to productize models.
• ✔️ Ensure AI models follow ethical and regulatory standards.
• ✔️ Develop predictive analytics for forecasting, churn analysis, and segmentation.
• ✔️ Participate in continuous improvement of AI frameworks.
• ✔️ Conduct statistical experiments and hypothesis testing.
• ✔️ Mentor analysts and junior scientists on AI and ML concepts.
• ✔️ Support strategic planning for long‑term AI roadmap initiatives.