About this opportunity
Alpine Method Technologies lists this DATA SCIENTIST/MACHINE LEARNING ENGINEER opportunity in indiana, Pennsylvania. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are looking for exceptional Data Scientist/Machine Learning Engineers to join our team! We take pride in our wide breadth of technical expertise to support the design, development, and delivery of complex products and solutions, and we are looking for like‑minded individuals to share in the exciting experience of making an impact that matters. Successful candidates will be proactive, highly analytical, and have an unstoppable will to excel and contribute across various areas of technical and business operations. Prior military experience is welcome.
Job Responsibilities Include
Embracing our start‑up culture and vision to grow, learn, and build an authentic close‑knit community
Take ownership of an Agile‑backed software development lifecycle in order to meet customer‑defined technical requirements
Research, develop, and implement models and algorithms for data analysis and curation
Direct aspects of technical solutions reliant on data science/machine learning through implementation, testing, and delivery
Work as part of a larger family of technical contributors and collaborate across team members, mission partners, and end customers
Provide thought leadership within this domain for solution ideation and technical whiteboarding
Technical Requirements
Proficiency in data mining techniques and statistical analysis
Proficiency in feature engineering and model development/implementation
Proficiency in software/scripting languages, such as Java, Python, Scala, etc.
Proficiency in ML frameworks, such as TensorFlow, PyTorch, etc.
Experience in Linux environments (CentOS, Ubuntu)
Experience in analysis over large data sets, both structured and unstructured
Familiarity with technical ICDs and general data transformation
Preferred Knowledge And/or Skills
Open datasets and synthetic data generation
Processing frameworks, such as Spark, Hadoop, etc.
Deploying and using models in a production environment
Scalable processing techniques and performance considerations (e.g. HPC, CUDA)
Azure/AWS configuration and deployment of services
Presenting information using data visualization techniques
Technical writing and documentation
Excellent written and verbal communication skills to interface effectively across project/customer echelons
Required Experience
Bachelor’s or master’s degree in a relevant field such as software engineering, applied mathematics, computer science, or other relevant data‑driven area, or demonstrably equivalent work experience
US Citizenship
Eligibility to obtain and maintain a security clearance
Preferred Experience
DoD Top Secret clearance with eligibility for SCI access
Prior experience or interaction with the US DoD or other government agency
New employees will be required to successfully pass the E‑Verify employment verification check. To learn more about E‑Verify, including your rights and responsibilities, visit e-verify.gov.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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Worksite address
indiana, PA, 15705, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.