Mid-level Applied AI Data Scientist (Tableau Focus)

Capco•New York, NY

2d•Hybrid

About The Position

We are looking for a Data Scientist to join us, working at the intersection of data, machine learning, and business insight. In this role, you will apply statistical and machine learning techniques to real-world problems, helping clients unlock value from complex datasets. You will collaborate with cross-functional teams and contribute to the development of scalable, data-driven solutions.

Requirements

3–7 years of experience in data science, analytics, or applied machine learning
Strong foundation in statistics, probability, and core machine learning techniques (e.g., regression, classification, clustering)
Hands-on experience with Python and libraries such as pandas, NumPy, and scikit-learn
Experience building Tableau dashboards to clearly communicate data insights
Ability to collaborate across teams and translate analytical findings into business-relevant outcomes

Nice To Haves

Experience working with graph-like or network datasets
Exposure to ML Ops practices such as experiment tracking, model versioning, and monitoring
Hands-on experience with NLP techniques such as entity extraction or text processing
Familiarity with cloud-based data or ML platforms
Experience contributing to rapid prototyping or iterative AI solution development

Responsibilities

Apply statistical analysis, clustering, and probabilistic techniques to generate actionable business insights
Work with structured and semi-structured datasets to identify patterns, trends, and anomalies
Build and support NLP workflows, including named entity recognition (NER), entity resolution, and text classification
Develop machine learning models with guidance from senior team members, contributing to evaluation and refinement
Create Tableau dashboards and visualizations to communicate insights to technical and non-technical stakeholders