Python Programmer (Full-Time OR Part-Time)

Econometrica, Inc.
Bethesda, MD, United States
Full-time
Part-time

Job Title

Python Programmer (Full-Time OR Part-Time)

Job Type

Part-time

Location

Bethesda Office - Bethesda, MD 20814 US (Primary)

Remote (Virtual) - US - US

Job Description

About Econometrica, Inc.

We are researchers and experts helping our clients make informed decisions using advanced analytics. We tackle challenges with innovative methods, research tools, and strategies to improve quality of life.

Whether examining policies to provide the best patient care, rebuilding housing communities, or analyzing the merits of space exploration, we apply hard work and dedication to each of our projects.

The Opportunity

Econometrica is looking for an experienced full-time or part-time Python Programmer to support data analysis for various Federal agencies.

The candidate will be involved in cleaning, summarizing, and prepping data for advanced analytics and machine learning algorithms.

Tasks may include the following :

  • Aggregating, merging (horizontal and vertical), partitioning, and reshaping datasets.
  • Performing descriptive statistics to summarize datasets and investigating anomalous results.
  • Manually reviewing, classifying, and annotating example records to form training datasets for machine learning.
  • Using string methods and regular expressions to clean unstructured text fields.
  • Documenting your work with comments in the code and with plain language explanations, process diagrams, etc., in reports delivered to nontechnical audiences.

Education and Qualifications

Required Skills and Experience :

  • 2-3 years of experience using Python for data analysis.
  • Solid understanding of the basic Python data types.
  • Proficiency with Pandas.
  • Basic knowledge of machine learning methods.
  • Ability to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.
  • Strong oral and written communication skills.
  • Ability to obtain a security clearance.

Desired Skills and Experience :

  • Experience prepping DataFrames for SKLearn models.
  • Experience using Python's regular expressions module to search and modify text.
  • Interest in learning about advanced statistical and machine learning techniques.
  • Experience with parallel programming.
  • Experience with code review and documentation
  • Experience working on projects in a consulting environment.

Additional requirements of the position could involve occasional travel relevant to the responsibilities noted above.

Education

Bachelor's degree in a STEM field.

Our Generous Benefits Package Includes :

  • Being part of a dynamic research group that continues to grow.
  • Discount health club membership.
  • Company-sponsored healthcare plan and optional vision / dental coverage.
  • Excellent training and development opportunities.
  • Discount garage parking.
  • Referral bonuses.
  • 401(k) program.
  • Discount rental car service.
  • Organized social activities.
  • Metro SmartBenefits Program.

Work Environment

This position is remote, though candidates may choose to work in Econometrica's office.

The office is located at a Metro stop in beautiful downtown Bethesda, MD, within walking distance of great restaurants and local fare.

We have a typical office setting with a quiet to moderate noise level.

Physical Requirements

The physical requirements are representative of those an employee encounters while performing the essential functions of this job.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Other instructions and related duties may be assigned by the employee's supervisor.

Econometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.

20 hours ago
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