Data Scientist

Job Overview:

The Data Scientist will analyze large volumes of network, customer and operational data to uncover trends, predict behaviors, and optimize business performance. Your insights will directly influence strategic decisions in areas such as customer retention, network optimization, fraud detection, and personalized service offerings. This position will also help improve customer acquisition strategies and maximize advertising dollar efficiency through data-driven decisions. The ideal candidate will excel at analysis, manipulation, and cleaning of data, building predictive and prescriptive models using theoretical and computational techniques, extract insights from models to help inform business decisions and present results and recommendations to various business partners and leaders.

Essential Functions and Responsibilities:

· Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-driven decisions.

· Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.

· Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.

· Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.

· Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.

· Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.

· Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.

Required Knowledge/Skills/Abilities:

· Ability to quickly learn, analyze situations, and make decisions which support the mission of Patriot Mobile.

• Hands-on experience building and optimizing data solutions using Python and SQL.
• Experience solving problems using a variety of statistical and machine learning techniques.
• Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems.
• Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
• Proactive approach to identifying problems and developing innovative solutions.

Education and Experience:

· Bachelors degree or higher in a relevant analytical field

Physical Requirements:

· Must be able to sit or stand for long periods of time.

· Must be able to work in a variety of spaces to include cubicle, counter, and or desk areas.

· Must be able to lift and move items up to 25 pounds.