Public Job Hunters · Louisville, CO, USA
Sierra Space is an industry-leading space and defense technology company providing satellites, spacecraft, and enabling mission systems and components. We deliver mission-proven technologies to our customers that safeguard our nation, protect space-based assets and enable space exploration.
As a Senior Data Scientist / Analytics Engineer, you will play a critical role in supporting our mission by developing data-driven solutions that enhance operational efficiency and decision-making across our defense and space programs.
Key Responsibilities:
Design and implement machine learning models and data pipelines to support defense and space operations.
Collaborate with cross-functional teams to translate business requirements into data solutions.
Develop and maintain analytics dashboards using Power BI and other visualization tools.
Optimize data infrastructure and ensure data quality and integrity across systems.
Conduct statistical analysis and predictive modeling to support decision-making.
Work with SAP MRP systems to analyze supply chain and production data.
Lead and mentor junior data scientists and analytics engineers.
Stay current with emerging data science and analytics technologies.
Required Skills & Experience:
Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Operations, Engineering, Statistics, Computer Science, or a related field, or equivalent work experience in lieu of degree.
Typically 8 or more years of progressive experience combining material planning, production planning or supply chain analytics, data science, statistical modeling, machine learning, system optimization, and process improvement.
Strong experience with SAP MRP and advanced data visualization tools such as Power BI.
Advanced Excel skills, including modeling and VBA.
SQL knowledge for extracting and managing data.
Expertise in Python, R, and SQL.
Understanding of IT systems, software development data, CI/CD, and business processes.
Understanding of database environments and upgrades.
Advanced degree in Data Science, Statistics, Operations Research, Industrial Engineering, Supply Chain Management, or a related field.
Experience with TensorFlow, PyTorch, and scikit-learn.
Knowledge of statistical analysis and data mining techniques.
Experience with Hadoop, Spark, and Kafka.
Experience with Power BI, Tableau, or Looker.
Experience with AWS, Azure, or Google Cloud.
Experience with Jenkins, GitLab CI, or CircleCI.
Experience with Git and MLOps platforms.
APICS CPIM or CSCP certification.
Experience leading analytics initiatives and driving measurable business impact.
Experience supervising, mentoring, and coaching analysts or data scientists.
Deep understanding of supply chain operations, inventory management, and production planning.
Experience with Sales, Inventory, and Operations Planning (SIOP) processes.
Compensation & Benefits:
Compensation: $128,648.00 - $176,891.00. Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education, experience, internal equity and market competitiveness.
Benefits include medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, and more.
Work Environment:
On-site work required. Headquarters located in Louisville, CO. Additional office locations in Durham, NC and Madison, WI.
Application:
Applications are accepted until a qualified pool of candidates is identified. Sierra Space does not accept unsolicited resumes from contract agencies or search firms.
Sierra Space is an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. If you need special assistance or a reasonable accommodation related to applying for employment with Sierra Space or at any stage of the recruitment process, please contact us.