At ClearObject we transform data into valuable outcomes, and we are looking for an experienced Data Scientist to join our development team. You will work with our Digital Products team to employ various methods to transform data into useful data systems. For example, you’ll create algorithms for processing real-time vision analytics that are used in full production edge environments. As a member of the Digital Products team, you’ll strive for efficiency by aligning data systems with product outcomes.

To succeed as a Data Scientist at ClearObject, you should have strong analytical skills and the ability to combine data from various sources. Data Scientist skills also include familiarity with several programming languages and knowledge of machine learning methodologies and tools.

If you are detail-oriented, with excellent communication, organizational skills, and experience in this field, we’d like to hear from you.

Core Role Responsibility

To perform this job successfully, an individual must be able to perform the following satisfactorily; other roles or responsibilities may be assigned.

Analyze and Organize large volumes of raw data
Perform exploratory data analysis and report on results
Develop and maintain datasets
Identify optimal modeling workflows for a given problem
Train and retrain machine learning models
Interpret trends and patterns
Combine data from multiple sources
Collaborate with engineers, full-stack and back-end developers, and the other product team members on several projects
Interact with clients to understand project needs

Desired Skills & Experience

The requirements listed below are representative of the knowledge, skill, and/or ability required.

Must have CAC Clearance
Strong background in statistics and mathematical modeling
Experience building predictive models
Experience building computer vision ML models
Familiarity with Docker
Experience with modern data science toolkits such as Project Jupyter
Experience with PyTorch and Tensorflow
Intermediate (or better) Python development experience
Proficient with SQL & NoSQL database design
BA/BS degree in Computer Science, IT, ML, Statistics or related technical field or equivalent practical experience; Master’s Degree is a plus
Desire and ability to learn new skills while improving current skills

Nice to haves:

Experience with Google Cloud Platform and/or Amazon Web Services
Experience with data visualization tools such as Google Data Studio, Tableau, PowerBI, etc.
Data Science, Machine Learning or Cloud certifications are a plus (e.g. Google Cloud Platform Certified Professional Machine Learning Engineer)

Additional Information

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

The level of this position will be determined based on the applicant's education, skills, and experience.

ClearObject employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, ClearObject may obtain nationality or citizenship information from applicants for employment. ClearObject collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

ClearObject is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

ClearObject

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