Abacus Solution Group
Abacus is looking to hire a VP of Technology 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).
Compensation: $175,000 per year
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).
Compensation: $175,000 per year