Senior Data Scientist Role

A leading enterprise organization is seeking an experienced Senior Data Scientist to join a centralized Machine Learning team supporting multiple business units across large-scale operations. This opportunity is ideal for professionals who enjoy solving complex business problems through Machine Learning, Deep Learning, advanced analytics, and scalable cloud-based solutions.

The Senior Data Scientist will work alongside highly skilled Data Scientists and technical leaders to build production-ready Machine Learning models that drive measurable business impact. This is not a reporting or dashboard-focused position. The team is looking for someone who can develop intelligent systems, deploy models into production environments, optimize model performance, and collaborate closely with stakeholders across the organization.

This hybrid opportunity is based in Fort Worth, Texas with three onsite days per week.

Key Responsibilities of the Senior Data Scientist

Machine Learning Model Development

The Senior Data Scientist will design, build, train, evaluate, and deploy Machine Learning and Deep Learning models for enterprise-scale business use cases. The role requires strong experience in model lifecycle management from data preparation to deployment and optimization.

Data Engineering and Feature Engineering

Candidates should be comfortable working with large and complex datasets. Responsibilities include data extraction, cleansing, transformation, feature engineering, and advanced exploratory analysis to support predictive modeling initiatives.

Cloud and Distributed Computing

The ideal candidate will help build scalable and cloud-native Machine Learning solutions using enterprise tools and distributed computing platforms. Experience with Databricks and Azure ML environments will be highly valuable.

Cross Functional Collaboration

The role involves working closely with business stakeholders, analysts, engineering teams, and leadership groups to identify opportunities where data science can improve operational efficiency and business outcomes.

Model Deployment and Optimization

Candidates should have experience deploying models into production environments and monitoring model performance. This includes improving model accuracy, scalability, reliability, and overall production readiness.

Communication and Stakeholder Management

The Senior Data Scientist must be able to communicate technical findings clearly to both technical and non-technical audiences. Strong presentation and consulting skills are highly preferred.

Required Qualifications for the Senior Data Scientist Position

Educational Background

Candidates must hold a Master’s degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or another quantitative discipline.

Technical Experience

Applicants should have at least three years of hands-on experience in Data Science and Machine Learning environments with strong exposure to real-world production deployment.

Programming Skills

Strong Python programming expertise is mandatory. Candidates should have experience building scalable data science workflows and production-grade Machine Learning pipelines.

Machine Learning and Deep Learning Expertise

The ideal candidate should possess strong knowledge of supervised learning, unsupervised learning, neural networks, Deep Learning frameworks, model evaluation techniques, and optimization methods.

Analytical Thinking

Strong analytical and problem-solving abilities are essential for success in this role.

Preferred Qualifications

Enterprise Experience

Candidates with ten or more years of experience in enterprise or technical environments will stand out during the selection process.

Cloud and Platform Experience

Hands-on experience with Databricks, Azure ML, cloud-native Machine Learning deployment, and distributed computing frameworks is highly preferred.

Database and Visualization Skills

Experience with SQL and visualization tools such as Tableau or Power BI is considered an added advantage.

Consulting Background

Professionals with consulting or client-facing experience will be highly valued because of the collaborative and stakeholder-driven nature of the role.

Industry Exposure

Experience working within the airline industry or transportation sector is beneficial but not mandatory.

Top Must-Have Skills

Core Technical Skills

• Python
• Machine Learning
• Deep Learning
• Model Deployment
• Feature Engineering
• Data Analysis
• Production ML Systems

Educational Requirement

• Master’s Degree or PhD in a related quantitative discipline

Nice-to-Have Skills

Additional Technical Skills

• Databricks
• Azure ML
• SQL
• Tableau
• Power BI
• Cloud-Based ML Solutions

Work Environment and Team Structure

The selected candidate will join a collaborative centralized Machine Learning team made up of Senior and Principal-level Data Scientists. The team supports multiple business units and focuses on building innovative and revenue-impacting Machine Learning solutions.

This environment is ideal for professionals who enjoy working on large-scale enterprise projects while collaborating across multiple technical and business teams.

Who Should Apply for This Senior Data Scientist Role?

This opportunity is best suited for professionals from:

• Enterprise Data Science environments
• AI and Machine Learning engineering teams
• Product-based organizations
• Consulting firms
• Cloud and advanced analytics teams

Candidates who primarily focus on reporting, dashboards, or traditional BI development without Machine Learning deployment experience may not be the right fit for this role.

Work Model

Hybrid Work Setup

This is a hybrid role requiring three onsite working days per week in Fort Worth, Texas. Candidates should be comfortable collaborating in both onsite and remote environments.

Why This Opportunity Stands Out

This position offers the opportunity to work on impactful Machine Learning initiatives that directly influence enterprise business outcomes. The organization values innovation, collaboration, and advanced analytics expertise while providing exposure to modern cloud technologies and enterprise-scale Machine Learning systems.

Professionals looking to advance their careers in Machine Learning, Deep Learning, and enterprise AI solutions will find this role highly rewarding.

Ready to Apply?

If you have experience with engineering design, CAD software, technical documentation and infrastructure standards, this opportunity could be a strong fit for your career goals.

Check out other positions

Let’s discuss your next career move

---

Frequently Asked Questions

1. What does a Senior Data Scientist do in this role?

The Senior Data Scientist develops and deploys Machine Learning and Deep Learning models to solve enterprise business problems and improve operational outcomes.

2. Is this role focused on reporting or dashboards?

No. This is a highly technical Machine Learning role and not a traditional BI or reporting position.

3. What programming language is required?

Strong Python programming skills are mandatory for this role.

4. Is Machine Learning deployment experience necessary?

Yes. Candidates should have hands-on experience deploying production-ready Machine Learning models.

5. What educational qualifications are required?

Candidates must hold a Master’s degree or PhD in a quantitative field such as Data Science or Computer Science.

6. Is Deep Learning experience required?

Yes. Candidates should have practical experience with Deep Learning concepts and frameworks.

7. What cloud technologies are preferred?

Databricks and Azure ML experience are highly preferred.

8. Is SQL knowledge important for this role?

Yes. SQL experience is considered beneficial for data extraction and analysis tasks.

9. Is the role remote or onsite?

This is a hybrid role requiring three onsite days per week in Fort Worth, Texas.

10. What type of team will the candidate work with?

The candidate will work within a centralized Machine Learning team composed of Senior and Principal-level Data Scientists.

11. Is airline industry experience mandatory?

No. Airline industry experience is considered a plus but is not mandatory.

12. What type of candidates are preferred?

Professionals from enterprise AI teams, consulting firms, and advanced Machine Learning environments are preferred.

13. Are Tableau or Power BI skills necessary?

These tools are considered nice-to-have skills but are not mandatory.

14. What kind of projects will the candidate work on?

The candidate will work on revenue-impacting enterprise Machine Learning initiatives supporting multiple business units.

15. What makes a candidate stand out for this role?

Strong Python skills, production ML deployment experience, Deep Learning expertise, cloud platform exposure, and excellent communication abilities help candidates stand out.