Data Scientist

Alterman, Inc.; Town of Texas (WI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Alterman, Inc. seeks a Data Scientist to turn complex data into actionable insights across construction and field operations.

You will build predictive models, create dashboards, and partner with engineers and business leaders to drive ROI. The role requires 4+ years in hands-on data science, strong Python and SQL skills (Snowflake preferred), experience with ML and data visualization, and the ability to communicate technical concepts to non-technical stakeholders.

Qualifications

• Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field.
• 4+ years of hands-on data science experience including modeling, visualization, and end-to-end project ownership.
• Experience with data in construction, field services, or operations-heavy environments preferred.

Responsibilities

• Designs and executes data experiments to validate hypotheses and measure model performance.
• Designs, develops, and deploys ML models within Snowflake-based data pipelines and workflows.
• Visualizes data and crafts narratives for stakeholders at all levels.
• Translates business challenges into analytical strategies and data models to drive ROI.

Skills

Python

SQL

Data wrangling

Problem solving

Communication

Team collaboration

Agile experience

Education

Bachelor's or Master's in Data Science, Statistics, CS

Tools

Snowflake

Airflow

ML Ops

Job description

The Data Scientist is responsible for leveraging advanced analytics, statistical models, and machine learning techniques to uncover insights from structured and unstructured data. This role supports decision-making across departments by developing predictive models, visualizations, and data-driven strategies that enhance business performance and operational efficiency. This role serves as a critical link between data and decision-making, collaborating with business leaders, operational teams, and technologists to uncover and communicate meaningful insights.

Essential Functions:

1.Data Science & Modeling: 60%

• Designs and executes data experiments to validate hypotheses and measure model performance.
• Designs, develops, and deploys machine learning (ML) models within Snowflake-based data pipelines and workflows.
• Conducts large-scale statistical analyses and controlled experiments to uncover actionable insights.
• Explores and analyzes structured and unstructured data to detect trends, anomalies, and opportunities.
• Turns broad or unclear problems into actionable projects by defining success metrics and setting clear goals for analysis.
• Collects, cleans, and prepares data for modeling and analysis to ensure data integrity and quality.
• Partners with Data Engineers to integrate and deploy analytical models and products into production environments.
• Translates high-priority business challenges into analytical strategies and data models that drive measurable return on investment (ROI).

2. Stakeholder Engagement & Innovation: 25%

• Visualizes complex data and crafts compelling, audience-tailored narratives for stakeholders at all levels—from frontline teams to executive leadership.
• Communicates findings in a clear, actionable manner that informs strategic decisions across the business.
• Stays informed on emerging AI/ML advancements and evaluates their potential to enhance business outcomes.

3. Performs other duties as assigned. 15%

Education and Experience:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science or related field.
• 4+ years of experience in hands-on data science, including modeling, visualization, and end-to-end project ownership.
• Experience with data in construction, field services, or operations-heavy environments preferred.

Skills/Abilities:

• Strong problem-solving mindset with the ability to navigate ambiguity, rapidly prototype solutions, and iterate based on feedback.
• Able to communicate technical concepts to non-technical stakeholders in a clear, compelling, and engaging manner.
• Demonstrated ability to collaborate effectively within agile, cross-functional teams.
• Proficient in Python, SQL (Snowflake preferred), and data wrangling in large-scale environments.
• Familiarity with cloud data warehouses and MLOps best practices (bonus if you've used Airflow, or similar tools).
• Skilled in ML techniques (e.g., regression, classification, clustering, and ensemble methods).
• Previous exposure to deep learning, Natural Processing Language (NLP), and computer vision is a plus.

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift up to 15 pounds at times.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.