Phoenix Recruitment · 7 hours ago

Mid level Data Scientist

Phoenix, AZ

Full-time

Remote

Mid Level

$80K/yr - $90K/yr

3+ years exp

Maximize your interview chances

IT System Custom Software Development

Insider Connection @Phoenix Recruitment

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Collaborate with team members leveraging the agile methodology to work on innovative and complex solutions with the use of Machine Learning and statistical analysis.

Develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.

Independently support processes related to the implementation of systems into production, including integration of purchased solutions.

Responsible for design, coding, testing, debugging, and documentation.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningDeep LearningStatistical ModelingPythonSQLData VisualizationBig Data PlatformsFeature EngineeringData ExtractionStatisticsData MiningApplied MathematicsPassion for Improvement

Required

3+ years of experience

2+ years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discrimination methods, feature extraction and analysis, supervised learning.

2+ years of experience with a programming language such as Python, R, SQL, etc.

2+ years of experience with data extraction, wrangling, visualization, and analysis.

Experience processing data from various sources and via big data platforms (such as GCP, AWS, etc.)

Experience creating scalable machine learning models and solutions.

Experience researching and implementing statistical models, machine learning algorithms or other customized solutions that show significant impact solving complex business problems.

Experience enhancing existing data pipelines by exploring unstructured data sources and engineering new features.

Can provide technical support and expertise to the broader team.

Master’s degree or greater in Statistics, Mathematics, Computer Science or other quantitative field; or equivalent working experience

Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field.

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or other quantitative field.