Contractor - Digital

Description :

The HL is in HQ, but the requisition is open to all campus locations - HQ (Vienna, VA), WOC (Winchester, VA), GPO (Pensacola, FL), SDO (San Diego, CA) for a Hybrid role only - no remote work or Microsites.

Description

Our Digital data science department is dedicated to building predictive solutions for our mobile applications and online business operations. We develop predictive tools to assist business and app developers in enhancing user experience and optimizing operational performance.

We are seeking a motivated and talented mid-level experienced (3-7 yr) data scientist to join our growing department. This role involves collaborating with senior team members, leaders, and business units to create custom solutions and data science models that provide insights into customer digital behavior, forecast mobile app and website usage trends, assess customer app store sentiment, and analyze data for actionable insights. Knowledge or insights into financial services and banking products will also be helpful in designing solutions and predictive tools to help customers improve financial management and financial health / well-being.

Responsibilities

Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our 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 but not limited to logistic regression, random forest, 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

Qualifications

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

Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus

Technical writing skills

Strong communication and data storytelling presentation skills of technical material

Ability to collaborate and build relationships

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

Enable Skills-Based Hiring

No

Hybrid Status

Additional Details

• Hybrid Status : Hybrid
• Alternate Job Title : Data Scientist
• Digital Contractor Titles : Analytics - Data
• Contractor Experience Level : 2