Junior Data Scientist at Upbring in Austin, Texas

Posted in Other about 3 hours ago.

Type: Full-Time





Job Description:


Overview

At Upbring, our team is united by a shared mission: to break the cycle of child abuse and advance the wellbeing of children, families and communities, empowering them to thrive. As servant-leaders, we lead by example, working passionately to create a brighter future for those we serve. Every day, we strive to embody our core values:

  • We are Warriors: Fierce, resilient, and courageous, we face challenges head-on with unwavering loyalty and passion.
  • We are Servants: We dedicate ourselves to serving others, empowering those around us to thrive.
  • We are Family: We work together as a supportive, caring community, creating a sense of belonging and strength.

Joining Upbring means becoming part of a family of passionate individuals who are fearless in their pursuit of lasting change. Together, we are making a difference, one life at a time.

What You'll Do

The Junior Data Scientist supports a wide range of data science functions, including analytics, geospatial analysis, data engineering, and exploratory modeling. This role is ideal for someone eager to contribute to data-driven decision-making and advance technical skills across various data science disciplines, with exposure to machine learning projects.

Please note: Candidates must be legally authorized to work in the United States without the need for current or future sponsorship.



Responsibilities

  • Design and conduct exploratory data analyses (EDA) to uncover trends, patterns, and actionable insights within complex datasets
  • Develop and maintain data processing pipelines, including data collection, cleaning, transformation, and preparation, ensuring data quality and accessibility.
  • Contribute to the development and validation of predictive models to address specific business challenges, focusing on data-driven insights rather than merely deployment.
  • Create and present clear, insightful visualizations to communicate data findings to non-technical audiences.
  • Assist with feature engineering, model evaluation, and validation to ensure models align with business goals.
  • Contribute to periodic model assessments, tracking performance metrics and suggesting updates to maintain model relevance and accuracy.
  • Assist with integrating basic machine learning outputs with APIs to ensure easy access to model insights for end-users and applications.
  • Conduct basic geospatial analyses to support business insights, revealing spatial trends and patterns within data.
  • Generate geospatial visualizations using tools like GeoPandas, QGIS, or Tableau, enhancing spatial data clarity and impact.
  • Assist in developing and optimizing data pipelines, supporting ETL processes to ensure efficient and accurate data flows.
  • Implement data validation and quality checks within pipelines, working closely with the data engineering team to enhance data integrity.
  • Other duties and special projects as assigned



  • Qualifications

    Minimum Qualifications

    • Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field (or equivalent education and experience).
    • Proficiency in Python or R and SQL for data manipulation and analysis.
    • Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.
    • Foundational skills in data engineering concepts, such as data pipelines, ETL, and data validation.
    • Basic experience with geospatial data libraries (e.g., GeoPandas) or GIS software.
    • Strong analytical and problem-solving skills, with an aptitude for data storytelling and clear communication.
    • Self-starter with the ability to work independently and collaboratively in a mission-driven environment.
    • Proficiency with Microsoft Word, Excel, and Outlook

    Preferred Qualifications

    • One (1) year of applicable work experience or an Advanced Degree in Analytics, Data Science, Computer Science, Statistics, Finance, OR a related field.
    • Knowledge of data engineering best practices, including version control (e.g. Git), testing, and deployment strategies
    • Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) for data storage and processing.
    • Knowledge of machine learning fundamentals with hands-on experience in basic model evaluation and feature engineering.
    • Experience with version control tools, such as Git.
    • Experience working in or with the nonprofit industry, child welfare, social and family services

    Perks at Upbring

    • Competitive PTO & paid holidays
    • Health, dental, vision insurance & more!
    • 403(b) Plan
    • Employee Assistance Program
    • 24/7 access to telemedicine and counseling services
    • Discounted Gym Memberships

    Diversity. Equity. Inclusion. Belonging

    We are a diverse and inclusive Organization that recognizes our strength is in the efforts of our selfless warriors. Honoring and recognizing the value and dignity of all individuals is the cornerstone of our agency. The more diverse the individuals, thought processes and lived experiences, the greater the opportunity is to combine unique perspectives to make a greater impact. Our trust, respect, and appreciation for one another is demonstrated through our communication, celebration of progress and relentless effort to be at our best TO FULLFILL OUR MISSION OF BREAKING THE CYCLE OF CHILD ABUSE.

    Upbring is an Equal Employment Opportunity/AA Employer and does not discriminate on the basis of race, color, ancestry, religion, age, sex, sexual orientation, gender, gender expression, gender identity, pregnancy, marital status, national origin, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.





    PI255028951


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