Associate Data Engineer

Company:
Location: New York, NY

*** Mention DataYoshi when applying ***

Candid is looking for a motivated engineer with experience working with unstructured data to join our team remotely or in New York. The ideal candidate should be interested in machine learning with applications to natural language processing and demonstrate strong communication skills.

See the world. Make it better.

On February 1, 2019, Foundation Center and GuideStar joined forces to become Candid, a 501c3 nonprofit organization. Candid connects people who want to change the world to the resources they need to do it.

Every year, millions of nonprofits spend trillions of dollars around the world. Candid finds out where that money comes from, where it goes, and why it matters. Through research, collaboration, and training, Candid connects people who want to change the world to the resources they need to do it. Candid’s data tools on nonprofits, foundations, and grants are the most comprehensive in the world.

Candid’s vision is an ambitious one. But we know that when we make investments in our talent, it translates to more access and better knowledge for those working for social good around the world.

POSITION: Associate Data Engineer

REPORTING TO:

Data Scientist

SCHEDULE:

Remote or New York, NY

POSITION SUMMARY

The Associate Data Engineer will work with the Data Science team, along with other programmers and analysts at Candid, to improve and maintain our statistical and machine learning models, build new machine learning prototypes, and create tools to visualize data model outputs so that internal staff can easily understand and participate in the improvement of those models on an ongoing basis. The Associate Data Engineer will also build applications and tools for the purpose of data collection, refinement and cleansing.

RESPONSIBILITIES
  • Work with other data scientists on an agile team to define and execute data science solutions.
  • Perform data wrangling to extract exploratory insights.
  • Analyze and build features for machine learning models.
  • Create and maintain data pipeline architecture.
  • Create statistical & machine learning models and prototypes.
  • Communicate results of analysis and experiments.
  • Create reporting and data visualization tools.
  • Make feature recommendations based on detailed analysis.
REQUIREMENTS
  • Proficient in using Python for data processing and analysis (experience with SciPy, Pandas is a plus)
    • Experience with SQL
  • Experience creating data visualizations and doing exploratory data analysis
  • Interest in machine learning and natural language processing (NLP) required, experience is a plus
  • Strong analytic skills related to working with unstructured datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Willingness to perform other duties and special projects as needed
  • College degree strongly preferred; equivalent experience will also be considered
  • Sensitivity and respect for racial, gender, sexual orientation, and cultural differences
  • Champions and represents Candid’s core values: We’re driven, direct, accessible, curious, and inclusive

HOW TO APPLY

Please email your resume and cover letter to:

[email protected]

Please put the title of the position you are applying for in the subject line. Your application will only be considered if all instructions above are met.

We offer a competitive salary and excellent benefits. Due to the high volume of applicants we typically receive, we regret that we can only contact candidates that we would like to interview.

Candid is an EO/AA/VET/DISABLED Employer.

We are committed to diversity, equity, and inclusion and especially encourage members of underrepresented communities to apply.


In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

*** Mention DataYoshi when applying ***

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