Data - Data Analyst / Machine Learning Engineer - Progression Inc
Washington, DC 20001
About the Job
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.
Progression Inc. is an equal opportunity and affirmative action employer. Progression Inc. is committed to administering all employment and personnel actions on the basis of merit and free of discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or status as an individual with a disability. Consistent with this commitment, we are dedicated to the employment and advancement of qualified minorities, women, individuals with disabilities, protected veterans, persons of all ethnic backgrounds and religions according to their abilities. #indpro
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.
Progression Inc. is an equal opportunity and affirmative action employer. Progression Inc. is committed to administering all employment and personnel actions on the basis of merit and free of discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or status as an individual with a disability. Consistent with this commitment, we are dedicated to the employment and advancement of qualified minorities, women, individuals with disabilities, protected veterans, persons of all ethnic backgrounds and religions according to their abilities. #indpro
Source : Progression Inc