Director of Data Science and Analytics
- Develop and execute a comprehensive data strategy aligned with Arrow's goals and objectives.
- Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.
- Oversee the development and maintenance of data infrastructure, including data warehouses, ETL processes, and data pipelines.
- Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems.
- Applies proven methods in working with divergent data types, data scales, and big data, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources.
- Develop predictive models to support customer segmentation.
- Delivers both pre and post project measurement including ROI calculations and forecasts.
- Provide actionable insights and recommendations to senior leadership and other departments, enabling data-driven decision-making across the organization.
- Create compelling data visualizations and dashboards to communicate insights effectively to stakeholders at all levels of the organization.
- Collaborate with cross-functional teams, including sales, marketing, supply chain, and finance, to identify opportunities for data-driven improvements and drive alignment with data initiatives.
- Stay current with industry trends and emerging technologies in data science and analytics. Evaluate and recommend the adoption of new tools and platforms to enhance our capabilities.
- Ensure data privacy, security, and compliance with relevant regulations.
- Fosters a culture of data-based decision making.
- Bachelor's degree in data science, computer science, statistics, or a related field. Master's degree, preferred.
- A minimum of 12 years of proven success working in a data science function for a complex, global organization.
- Technical expertise combined with strong business acumen with experience managing both data science and marketing analytics, preferably in the electronics component industry.
- PMP Certification preferred.
- Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Expertise in machine learning, statistical modeling, and data visualization.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Familiarity with data management and integration technologies (e.g., Hadoop, Spark, AWS, Azure).
- Knowledge of best practices in data governance, data quality, and data security.
- Fully Remote: Must be able to travel to an Arrow office location as requested by Arrow leadership.
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Short-Term/Long-Term Disability Insurance
- Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
- Paid Time Off
- Tuition Reimbursement
- Access to Arrow's Employee Discount Program
- Growth Opportunities
- And more!
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