Data Scientist

INSPYR; Vienna (VA); Hybrid; USD 100,000 - 125,000; Full time

Job summary

A leading technology solutions provider is seeking a Data Scientist for a hybrid role in Virginia. The ideal candidate will have 3-7 years of experience in data science and strong programming skills in Python and SQL. Responsibilities include collaborating on predictive models and analyzing data. Comprehensive medical benefits and a 401(k) retirement plan are offered.

Benefits

Comprehensive medical benefits

Competitive pay

401(k) retirement plan

Qualifications

• 3-7 years of experience in data science and analytics.
• Strong programming skills in SQL, Python, or similar languages.
• Familiarity with machine learning techniques.

Responsibilities

• Collaborate to design and implement predictive models.
• Analyze and interpret data for actionable insights.
• Develop and code modeling programs and algorithms.

Skills

Data Science

Statistics

Data Analytics

Python

SQL

Machine Learning

Communication

Education

Bachelor’s degree in data science, statistics, economics, mathematics, computer science, or engineering

Master’s degree in data science, statistics, or similar fields

Tools

Azure

Databricks

AWS

Hadoop

JIRA

Job description

Overview

Data Scientist — Location: Vienna, VA; Winchester, VA; Pensacola, FL; or San Diego, CA (Hybrid). Duration: 6 month contract with potential extension. Compensation: $55.00 - $64/hour. Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Data Scientist

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\u2019s degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields
• Desired: Master\u2019s degree in data science, statistics, mathematics, or degrees in similar quantitative fields

Our benefits

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• …and much more!

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.