Junior Data Scientist

Upbring - Austin, TX

Full-time - Entry Level

Austin, TX

About the position

The Junior Data Scientist at Upbring plays a crucial role in supporting various data science functions, including analytics, geospatial analysis, data engineering, and exploratory modeling. This position is designed for individuals eager to contribute to data-driven decision-making and enhance their technical skills across multiple data science disciplines, with opportunities to engage in machine learning projects.

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.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Paid holidays
• Health insurance
• Dental insurance
• Paid time off
• Employee assistance program
• Vision insurance
• 403(b)
• Gym membership