INSPYR Solutions

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 3-7 years of experience, offering a 6-month hybrid contract in "Vienna, VA, Winchester, VA, Pensacola, FL, or San Diego, CA," at a pay rate of $55.00 - $64/hour. Required skills include Python, SQL, and machine learning techniques, with a focus on financial services experience. A Bachelor's degree in a quantitative field is mandatory.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
512
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πŸ—“οΈ - Date
October 7, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Vienna, VA
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🧠 - Skills detailed
#Hadoop #AWS (Amazon Web Services) #Project Management #SQL (Structured Query Language) #Jira #Logistic Regression #Regression #Trend Analysis #PySpark #Data Science #ML (Machine Learning) #Cloud #Statistics #Data Exploration #Neural Networks #Azure Databricks #R #Data Storytelling #NLP (Natural Language Processing) #Databricks #Mathematics #Clustering #Spark (Apache Spark) #Azure #Forecasting #Programming #Python #Computer Science #Storytelling
Role description
Title: Data Scientist Location:Β Vienna, VA, Winchester, VA, Pensacola, FL, or San Diego, CA (HYBRID Duration: 6 month contract with potential extension Compensation:Β $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: β€’ Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings. β€’ Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges. β€’ Write efficient code in Python and SQL to manipulate and analyze data. β€’ Design, develop, and evaluate predictive models and algorithms with moderate to high complexity. β€’ 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. β€’ Analyze and interpret results with some complexity. β€’ Exercise limited judgment and discretion within defined procedures and practices. β€’ Develop and code modeling programs, algorithms, and automated processes. β€’ Use modeling and trend analysis to analyze data. β€’ Collaborate with team members and participate in team projects and initiatives. β€’ Utilize effective written and verbal communication to document and present findings. Qualifications β€’ 3-7 years of experience (mid-level) in data science, statistics, and data analytics β€’ Ability to work with moderate to minimal supervision β€’ Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis β€’ Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering β€’ Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop β€’ Familiarity with project management tools such as Azure Dev Ops (ADO), or JIRA is a plus β€’ Technical writing skills β€’ Strong communication and data storytelling presentation skills of technical material β€’ Ability to collaborate and build relationships β€’ Required: Bachelor's degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields β€’ Desired: Master's degree in data science, statistics, mathematics, or degrees in similar quantitative fields Our benefits package includes: β€’ Comprehensive medical benefits β€’ Competitive pay β€’ 401(k) retirement plan β€’ …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.