BUILT TO CONNECT

At Astec, we believe in the power of connection and the importance of building long-lasting relationships with our employees, customers and the communities we call home. With a team more than 4,000 strong, our employees are our #1 advantage. We invest in skills training and provide opportunities for career development to help you grow along with the business. We offer programs that support physical safety, as well as benefits and resources to enhance total health and wellbeing, so you can be your best at work and at home.

Our equipment is used to build the roads and infrastructure that connects us to each other and to the goods and services we use. We are an industry leader known for delivering innovative solutions that create value for our customers. As our industry evolves, we are using new technology and data like never before.

We’re looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec.

LOCATION: Chattanooga, TN On-site / Hybrid (Role must report on-site regularly)

ABOUT THE POSITION

The Data Scientist will play a key role in establishing the analytical foundation of Astec Smart Services. This individual will lead efforts to build pipelines from source to cloud, define data workflows, build predictive models, and help guide the team’s approach to turning data into customer value. He or she will work closely within Smart Services and cross-functionally to ensure insights are actionable and impactful. The role blends Data architecture, data engineering, and data science to help build Smart Services analytical foundation. This person will be instrumental in helping to build Astec’s digital transformation and aftermarket strategy.

Deliverables & Responsibilities

Data Engineering:
Build and maintain robust data pipelines for ingestion, transformation, and storage.
Optimize ETL processes for scalability and performance.
Data Architecture:
Design and implement data models that support analytics and operational needs.
Define standards for data governance, security, and integration.
Data Science:
Develop predictive models and advanced analytics to support business decisions.
Apply statistical and machine learning techniques to large datasets.
Strong business acumen to understand decision drivers with internal and external customers
Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value.

To be successful in this role, your experience and competencies are:

Bachelor’s degree in data science, engineering, or related field. (Adv. degrees a plus.)
5+ years of experience in data science, including at least 3 years in industrial or operational environments.
Strong communication and project management skills are critical.
Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP).
Strong understanding of data modeling principles and database technologies (SQL/NoSQL).
Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis.
Ability to work across data architecture design and data science experimentation.
Programming: Python, SQL, and optionally Scala or Java.
Familiarity with distributed systems and big data technologies.
Strong communication skills for translating technical insights into business value.
Ability to work across technical, commercial, and customer-facing teams.

Supervisor and Leadership Expectations

This role will not have supervisory or managerial responsibilities.
This role will have program management responsibilities.

Our Culture and Values

Employees that become part of Astec embody the values below throughout their work.

Continuous devotion to meeting the needs of our customers
Honesty and integrity in all aspects of business
Respect for all individuals
Preserving entrepreneurial spirit and innovation
Safety, quality and productivity as means to ensure success

EQUAL OPPORTUNITY EMPLOYER

As an Equal Opportunity Employer, Astec does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person’s veteran status or any other characteristic protected by law or executive order.

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