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Data Scientist (Remote)

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DataKind

Aug 25

  • Job
    Full-time
    Mid & Senior Level
  • United States
    Remote

AI generated summary

  • You must align with our mission, have 3-5 years in data science, be an expert in Python and cloud computing, and have experience in machine learning and project management.
  • You will develop and maintain machine learning models, support schools with data processing, conduct analysis, provide training, and collaborate with teams while ensuring quality and documentation.

Requirements

  • Required
  • Alignment with DataKind mission and values, including our commitment to anti-racism
  • Experience working across lines of difference (culture, identity, and time zone)
  • 3-5 years of technical work experience; at least 3 years of experience in data science
  • Expert in Python
  • Experience with cloud computing (Azure, GCP, and/or AWS)
  • Experience with DataBricks, Snowflake, or similar data intelligence platforms
  • Strong understanding of statistical methods for predictive modeling
  • Experience in machine learning—confident in applying, tuning, and evaluating a wide variety of algorithms
  • Proven track record of successfully managing full life-cycle data science projects with multiple stakeholders
  • Proven track record of (internal or external) client service orientation
  • Comfort and skill in communicating highly technical information to semi- and non-technical audiences
  • Self-motivated, results-driven, and persistent in the face of challenges
  • Preferred
  • Experience in the nonprofit sector and/or in a small startup organization
  • Experience with databases (SQL, Postgres, PySpark, and/or other data query languages)
  • Experience with Azure
  • Experience in scaling data products, handling data quality and volume
  • Experience with software development and/or web-dev work (frontends, dashboards, etc.)
  • Track record of strong client-facing presentation skills
  • Track record of strong technical writing for a variety of audiences

Responsibilities

  • Build and maintain the machine learning product (40%)
  • Produce high-quality, reusable code for data processing and analysis
  • Fine-tune and deploy models into a scalable and efficient production system
  • Conduct data science methods research and strategically implement appropriate techniques, including for model cards and equity-focused evaluation
  • Ensure accuracy and quality of all algorithmic and statistical outputs
  • Produce transparent documentation detailing the data science methodology for both technical and non-technical audiences
  • Provide direct data science support to schools (50%)
  • Partner with data staff at different schools in scoping how they will use and implement the SST, including strategic discussions on data handling based on their specific needs
  • Process, clean, and analyze schools' data
  • Provide technical onboarding to schools' data staff and directly support schools in formatting their data
  • Produce custom exploratory data analysis and models for schools
  • Present modeling results and how to use and interpret the model to schools
  • Communicate and manage expectations of schools throughout the entire process
  • Collaborate and contribute across DataKind (10%)
  • Keep project management tools like Salesforce and Asana up to date with project information and progress
  • Support other data science team members through code reviews and sharing learnings across products
  • Collaborate with the Product, Engineering, and Community teams to ensure seamless integration and alignment of work
  • Help manage other data science products hosted by DataKind and advance internal analytics reporting and automation capabilities as needed

FAQs

Do we support remote work?

Yes, this position is fully remote and can be based anywhere in the U.S.

What is the salary range for this position?

The salary range for the Data Scientist position is $106,000 - $120,000.

What are the working hours for this role?

The majority of working hours each day should fall between 8am and 6pm Eastern Standard Time.

What qualifications are required for this position?

Required qualifications include alignment with DataKind's mission, 3-5 years of technical experience with at least 3 years in data science, expertise in Python, experience with cloud computing, and strong understanding of statistical methods for predictive modeling.

Is experience in the nonprofit sector preferred for this role?

Yes, experience in the nonprofit sector and/or in a small startup organization is preferred but not required.

How will the Data Scientist be assessed at the end of their first year?

The Data Scientist will be assessed based on their ability to enable 12 schools to use the SST, create an end-to-end codebase template, deploy models into a production system, and produce onboarding documentation.

What kind of benefits does DataKind offer?

DataKind offers flexibility in work schedules, generous leave policies, a comprehensive health plan, 401(k) with matching contributions, opportunities for professional development, a wellness reimbursement program, and a commitment to diversity, equity, and inclusion.

Will the Data Scientist work with schools directly?

Yes, the Data Scientist will provide direct data science support to schools, including data preparation, technical onboarding, and customizing exploratory data analysis and models.

What tools and platforms should the Data Scientist be familiar with?

The Data Scientist should be familiar with Python, cloud computing platforms like Azure, GCP, or AWS, DataBricks, Snowflake, as well as SQL and other data query languages.

Does this role involve collaboration with other teams?

Yes, the Data Scientist will collaborate across DataKind, including working with Engineering and Product teams to ensure seamless integration and support for other data science products.

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DataKind

DataKindⓇ is a global nonprofit that harnesses the power of data science and AI in the service of humanity.

Technology
Industry
11-50
Employees
2012
Founded Year

Mission & Purpose

DataKindⓇ is a global nonprofit that harnesses the power of data science and AI in the service of humanity. Named one of Fast Company's top 10 innovative nonprofits, DataKind helps mission-driven organizations unlock their data science potential ethically and responsibly. We team talented pro bono experts with visionary changemakers to collaboratively design innovative solutions to tough social challenges. Top data scientists have generously volunteered to help organizations reduce costs, automate systems, embrace predictive analytics, and become more efficient and effective overall.