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Job Description

Job Description

Data Analyst/Machine Learning Engineer

Washington, DC

MUST:

Experienced Data Analyst/Machine Learning Engineer

Public Trust is required

5+ years related experience with a focus on Data Mining and Machine Learning.

Proficient in R, with significant experience using Posit (formerly RStudio) for data analysis and model development.

Strong experience with SQL and familiarity with Python or other programming languages.

Demonstrable experience in using statistical and machine learning techniques for analyzing and solving complex problems.

Excellent analytical, problem-solving, and organizational skills.

Proven ability to handle customer success and support activities.

Strong communication skills, with the ability to explain complex analytical concepts to stakeholders from various departments.

Experience with big data technologies such as Databricks, Spark, SparkR.

Knowledge of advanced analytics techniques, such as simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Knowledge of Generative AI technologies like OpenAI and LLMs.

Experience with cloud services like Azure or AWS

Knowledge of SAS/SAS Viya.

Bachelor's degree in Computer Science, Engineering, Statistics, or related field.

DUTIES:

Onboarding customers and assisting on Posit and RStudio.

Collaborate with cross-functional teams to understand business needs and provide data-driven insights and solutions.

Manage the full lifecycle of data analysis projects from data collection and cleaning to analysis and presentation of results.

Develop custom data models and algorithms to apply to data sets, using both standard statistical tools and innovative data analysis techniques.

Prepare detailed reports and presentations for non-technical stakeholders to communicate trends, patterns, and predictions using relevant data.