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Data Scientist - Subject Matter Expert

Salary undisclosed

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Greetings from Ampcus!

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Title: Data Scientist

Duration: 12 months

Work Site: Oakland, CA - 94612

W2 - Position

Job Description :

The responsibilities of these positions include:
Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context
Scopes and prioritizes modeling work to deliver business value
Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models
Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation
Extracts, transforms, and loads data from dissimilar sources from across for model-building and analysis
Writes and documents python code for data science (feature engineering and machine learning modeling) independently
Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders.
Act as peer reviewer of models and analyses built by other data scientists
Develops and presents summary presentations to business.
Present findings and makes recommendations to officers and cross-functional management.
Build and maintain strong relationships with business units and external agencies.
Works with cross functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts
Education Minimum: Bachelor s degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Education Desired: Master s degree in one of the above areas.
Experience Minimum: 4 years in data science for business (or 2 years, if possess master s degree, as described above).

Knowledge, Skills, Abilities and (Technical) Competencies:

Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them

Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment

Competency in commonly used data science and/or operations research programming languages, packages, and tools.

Hands-on and theoretical experience of data science/machine learning models and algorithms
Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
Competency in the mathematical and statistical fields that underpin data science

Mastery in systems thinking and structuring complex problems
Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
Desired: experience building computer vision models
Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, age, protected veterans, or individuals with disabilities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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