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
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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
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