Data Science/Machine Learning Engineer (Posit/Rstudio)

Position Objective: Seeking a Data Scientist/Machine Learning Engineer with strong analytical skills and experience in using Posit and RStudio to join our team with CDC/DMAC (Data Modernization Accelerator at CDC). The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.

Duties and Responsibilities:

• Utilizing Posit and RStudio for data exploration, visualization, and model development.

• 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.

Basic Qualifications:

• Bachelor's or Master's Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.

• 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.

Minimum Qualifications:

• 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.

• This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

GAP Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristics.