Job Description
<h3>π Description</h3> β’ Deliver insights to help our clients turn data into action as a Senior Data Scientist at GDIT.
β’ Perform scientific work to collect, analyze, and interpret large data sets.
β’ Use large data sets to find opportunities for product and process optimization.
β’ Use models to test the effectiveness of different courses of action.
β’ Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
β’ Mine and analyze data using a variety of data tools.
β’ Build and implement models using/creating algorithms and creating/running simulations.
β’ Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy.
β’ Assess the effectiveness and accuracy of new data sources and data gathering techniques.
β’ Drive business results with data-based insights.
β’ Ability to work independently and troubleshoot challenges
β’ Communicate analytic findings and recommendations to non-technical stakeholders, verbally and through written reports
β’ Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.
β’ Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence. <h3>π― Requirements</h3> β’ 5+ years of related experience
β’ Bachelor's Degree in data science, or related field
β’ Proven experience developing machine learning models and engineering features using Python, PySpark, SQL, R, Databricks, Machine learning with regularization models (especially LASSO), and other packages in Amazon SageMaker
β’ Able to create complex queries in SQL for testing and data analysis
β’ Experience developing ML pipelines and with ML Operations
β’ Experience with MLFlow, GitHub, Docker
β’ Must be able to work with engineering teams to source the right data, evaluate system performance
β’ Logistic regression
β’ Well-versed in statistical theory
β’ Generalized estimating equations <h3>ποΈ Benefits</h3> β’ Medical plan options, some with Health Savings Accounts (HSA)
β’ Dental plan options
β’ Vision plan
β’ 401(k) plan with company match
β’ Full-flex work weeks
β’ Paid time off: vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
β’ 15 days of paid leave per calendar year; 10 paid holidays per year
β’ Paid leave and holidays prorated based on date of hire
β’ Paid Family Leave: up to 160 hours in a rolling 12-month period
β’ Short and long-term disability benefits
β’ Life, accidental death and dismemberment, personal accident
β’ Critical illness and business travel and accident insurance
β’ Company-wide Total Rewards package updates and competitive offerings