Abacus is looking to hire a Senior Data Scientist in the Austin, TX area.

We are seeking a talented and experienced VP of Technology/Data Scientist to join our dynamic team focused on consumer product returns. The ideal candidate will possess strong analytical and problem-solving skills, with a passion for extracting meaningful insights from complex datasets. This role will also serve as a backup to the Chief Information Officer. 

Responsibilities

1. Data Analysis:

• Analyze large and complex datasets to identify trends, patterns, and insights.

• Develop and implement statistical models and machine learning algorithms.

2\. Predictive Modeling:

• Build predictive models to forecast future trends and outcomes.

• Evaluate model performance and continuously refine algorithms for improved accuracy.

3\. Data Exploration:

• Conduct exploratory data analysis to uncover hidden relationships within the data.

• Collaborate with cross-functional teams to understand business requirements.

4\. Data Visualization:

• Create visually appealing and informative data visualizations to communicate findings.

• Present complex analyses and insights to both technical and non-technical stakeholders.

5\. Feature Engineering:

• Identify and engineer relevant features to enhance model performance.

• Work closely with data engineers to optimize data pipelines for efficiency.

6\. Collaboration:

• Collaborate with cross-functional teams including software engineers, product managers, and business analysts.

• Provide data-driven insights to support strategic decision-making processes.

7\. Continuous Learning:

• Stay updated on the latest advancements in data science and machine learning.

• Apply new methodologies and technologies to enhance analytical capabilities.

8. Leading:

• Serve as backup to CIO.
• Assist, as needed, in shaping strategy and managing development and support resources.

Qualifications

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline.

• Proficiency in programming languages such as Python or R.

• Solid understanding of statistical modeling, machine learning, and data mining techniques.

• Experience with data visualization tools (e.g., PowerBI, Tableau, matplotlib, seaborn).

• Prior experience managing IT functions at a small business.

Preferred Qualifications:

• Experience working with big data technologies (e.g., Hadoop, Spark).

• Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).