Lead Data Scientist

Insight Global; Frederick (MD); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions provider in Maryland seeks an experienced Data Scientist to analyze large datasets and develop predictive models. This role involves collaborating with various teams to meet business needs and enhancing data strategies. Candidates should have a Bachelor's degree and at least five years of experience in data science, with skills in Azure Databricks, Power BI, and programming languages like Python. The position supports innovative projects with opportunities for mentorship and growth.

Qualifications

• Five or more years of experience in the field or a related area.
• Familiarity with supply chain functions.
• Experience in manufacturing, automotive, industrial or engineering preferred.

Responsibilities

• Process and analyze large datasets to uncover insights.
• Deliver results through visualizations for technical and non-technical audiences.
• Develop predictive models and integrate them into systems.
• Lead data science initiatives and improve data quality.
• Mentor team members on best practices in data science.

Skills

Machine Learning

Statistical Techniques

Programming in Python

Data Analysis

Data Visualization

Education

Bachelor’s degree

Tools

Azure Databricks

Power BI

Microsoft Excel

Spark

R

C

Job description

As a Data Scientist, you will be responsible for analyzing and interpreting datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.

Day to Day:

• Process and analyze large structured and unstructured datasets to uncover trends, patterns, and insights.
• Deliver analytical results through effective visualizations and clear written communication for both technical and non‑technical audiences.
• Partner with cross‑functional teams—including data analysts, data engineers, architects, and business stakeholders—to understand data needs and support complex business requirements.
• Develop advanced predictive models and machine‑learning algorithms, integrating them into existing systems or new products.
• Lead data science initiatives, including project execution, data visualization, data quality improvements, and incident troubleshooting with root‑cause resolution.
• Drive documentation and process improvements for managing incidents, changes, problems, tasks, and demand tracking.
• Coach and mentor team members on new technologies, methodologies, and best practices in data science and business intelligence.
• Maintain deep expertise in at least one business domain and a solid understanding of processes across multiple areas of the organization.
• Support and contribute to the advancement of the organization’s strategic data science roadmap.

Must Haves:

• Bachelor’s degree with five (5) or more years of experience in the field or in a related area.
• Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.
• Supply chain functions experience

Plusses:

• Expertise in Power Platforms
• Familiarity with LLM (open source or closed)
• Experience in Front end web app development (Flaskapp, Gradio etc)
• Familiarity with RAG architecture
• Experience from manufacturing, automotive, industrial, or engineering industry is preferred, but is open to other industries like healthcare, retail, or biotech.