Junior Data Science Professional

2 days ago

Austin, Texas, United States Upbring Full time
About Us

We are a diverse and inclusive organization that recognizes our strength lies 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.

We are a nonprofit organization dedicated to breaking the cycle of child abuse and advancing the wellbeing of children, families, and communities. Our mission is to empower them to thrive, and we strive to embody our core values every day: being Warriors, Servants, and Family.

Responsibilities:

  • Support a wide range of data science functions, including analytics, geospatial analysis, data engineering, and exploratory modeling
  • Contribute to data-driven decision-making and advance technical skills across various data science disciplines
  • Collaborate with the data engineering team to enhance data integrity and implement data validation and quality checks within pipelines
  • Develop and optimize data pipelines, supporting ETL processes to ensure efficient and accurate data flows
  • Generate geospatial visualizations using tools like GeoPandas, QGIS, or Tableau, enhancing spatial data clarity and impact

Benefits:

  • Competitive salary range of $65,000 - $85,000 per year, depending on experience
  • Generous PTO and paid holidays
  • Health, dental, vision insurance, and more
  • 403(b) Plan
  • Employee Assistance Program
  • 24/7 access to telemedicine and counseling services
  • Discounted gym memberships

What You'll Do:

As a Junior Data Scientist, you will be responsible for designing and conducting exploratory data analyses (EDA) to uncover trends, patterns, and actionable insights within complex datasets. You will develop and maintain data processing pipelines, including data collection, cleaning, transformation, and preparation, ensuring data quality and accessibility.

You will contribute to the development and validation of predictive models to address specific business challenges, focusing on data-driven insights rather than merely deployment. You will create and present clear, insightful visualizations to communicate data findings to non-technical audiences.

Additionally, you will assist with feature engineering, model evaluation, and validation to ensure models align with business goals. You will contribute to periodic model assessments, tracking performance metrics and suggesting updates to maintain model relevance and accuracy.

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