Python Data Analysis Jobs in Reston, VA (NOW HIRING)

Immediate need for a talented Data Scientist Professional .This is a 03+ Months Contract To Hire opportunity with long-term potential and is located in McLean, VA (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job Diva ID: 26-20028
Pay Range: $60 - $70 /hr. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• As a Data Scientist , you will join a group of skilled professionals who use data science to solve important business problems.
• Developing analytical methods and models about the collateral underlying the mortgages in client portfolio. Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs.
• Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
• Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.
• Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
• Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
• Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
• Working under limited direction, independently resolving and developing approach to solutions.

Key Requirements and Technology Experience:

• Must have skills: - Statistical Modeling, Python , Data Analysis
• Master degree with 3-5 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field
• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include but is not limited to statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods
• Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include but are not limited to SAS, Python, R, SQL, and MATLAB
• Experience working with large data sets and relational database
• Experience in statistical model development and implementation is preferred
• Experience with software development and system setup for model application is preferred
• Exceptional quantitative and analytics skills
• Strong knowledge of statistical models, tools and techniques
• Strong programming skills
• Strong communication skills

Our client is a leading Financial Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy .