Hiring.Camp

Data Analyst/Data Scientist

Starfish

·

Yesterday

Location
Torch Corp Bldg 4 - OPS, United States of America
Type
Full-time
Department
Education
Experience
5+ years
Education
Master
Source
Workday

Description

Torch Technologies

Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation’s top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: “Lighting the Pathway of Freedom”. And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us!

Torch Technologies is seeking a Data Analyst / Data Scientist to join a team developing advanced data processing, workflow automation, visualization, and analytics capabilities supporting the Missile Defense Agency (MDA) Ground Test Program. This position supports MDA's Digital Engineering transformation efforts and Ground Test Program activities.

As a Data Analyst / Data Scientist, your duties will include the following, but are not limited to:

  • Design, develop, and maintain automated data ingestion, staging, transformation, and processing workflows supporting Missile Defense System test and performance analysis.

  • Build and maintain scalable dashboards and visual analytics products using Tableau and similar visualization platforms.

  • Integrate and process data from diverse sources, including relational databases, structured and semi-structured files, and emerging data repositories.

  • Collaborate with analysts, engineers, and subject matter experts to develop analytical solutions that improve operational insight and decision-making.

  • Develop and optimize ETL/ELT processes using Python, SQL, Alteryx, and related technologies.

  • Support the integration of artificial intelligence and machine learning capabilities into analytics platforms and visualization environments.

  • Apply software development best practices, including testing, documentation, configuration management, and code quality standards.

  • Work within cross-functional engineering teams to deliver scalable, maintainable, and mission-focused data solutions.

Required Qualifications:

  • U.S. Citizenship.

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related technical discipline, or equivalent experience.

  • 5+ years of professional experience in data engineering, data analytics, business intelligence, or a related technical field.

  • Ability to obtain and maintain a Secret Security Clearance.

  • Proficiency with Python and common data science libraries and frameworks.

  • Demonstrated experience developing automated data processing and workflow solutions.

  • Experience with relational databases and data storage technologies, including SQL Server, PostgreSQL, SQLite, and file-based formats such as Parquet.

  • Experience developing data pipelines, ETL processes, and automation solutions using Python, Alteryx, or similar tools.

  • Strong analytical, problem-solving, organizational, and communication skills.

  • Ability to work effectively in a collaborative team environment and communicate technical concepts to technical and non-technical stakeholders.

Preferred Qualifications:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Analytics, or a related discipline.

  • Experience supporting Department of Defense (DoD), Missile Defense Agency (MDA), or other government engineering and test programs.

  • Proficiency with Tableau or comparable business intelligence and visualization platforms.

  • Experience implementing artificial intelligence, machine learning, or generative AI solutions within operational environments.

  • Experience with containerization and deployment technologies such as Docker and Kubernetes.

  • Knowledge of cloud-based data and analytics architectures.

  • Experience working within Agile software development environments.

  • Exceptional written and verbal communication skills.

  • Demonstrated ability to engage effectively with technical and executive stakeholders.

Schedule: M–F; 8:00 AM – 5:00 PM

Work Location: Onsite, Huntsville, Alabama

Travel: Yes, 0–10%

Relocation Assistance Available: No

Position Contingent Upon Award of Contract: No

#LI-DK1


Benefits: 

 

Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.  

 

 

Applying to Torch Technologies: 

 

Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check. 

­

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law.  Torch Technologies, Inc. participates in E-Verify. 

 

 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Careers Link as a result of your disability. You can request reasonable accommodations by sending an email to [email protected]. Thank you for your interest in Torch Technologies. 

Skills

PythonDockerKubernetesSQLPostgreSQLSQL ServerSQLiteMachine LearningData ScienceData EngineeringETLTableauAgile

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