Mid-Level Data Scientist

About the role

Mid-Level Data Scientist position based in Vienna, VA, offering a hybrid work arrangement combining onsite and remote work. This is a contract opportunity to collaborate with senior data scientists and business leaders on predictive modeling and data science solutions that enhance digital offerings.

Responsibilities

• Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance digital offerings
• Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges
• Write efficient code in Python and SQL to manipulate and analyze data
• Design, develop, and evaluate predictive models and algorithms with moderate to high complexity
• Utilize traditional and machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting
• Analyze and interpret results with some complexity
• Exercise limited judgment and discretion within defined procedures and practices
• Develop and code modeling programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data
• Collaborate with team members and participate in team projects and initiatives
• Utilize effective written and verbal communication to document and present findings

Requirements

• 3-7 years of experience (mid-level) in data science, statistics, and data analytics
• Ability to work with moderate to minimal supervision
• Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis
• Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering
• Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop
• Technical writing skills
• Strong communication and data storytelling presentation skills of technical material
• Ability to collaborate and build relationships

Qualifications

• Required: Bachelor's degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields
• Desired: Master's degree in data science, statistics, mathematics, or degrees in similar quantitative fields
• Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus