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Director of Data Science (Digital Marketing)
One Technologies, LP
Dallas, TX, United States
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Company Description
One Technologies is a Dallas-based, privately held, direct-to-consumer products company that develops and markets ScoreSense - an industry-leading online and mobile provider of consumer credit information, identity monitoring, and neighborhood alert services. By providing more than 1 million ScoreSense subscribers continuous access to credit, identity theft, and family safety features, we strive to make life more secure for our members.
Our commitment to building responsive, elegantly designed credit and security products for consumers has ignited a massive surge in growth. Over the past few years, One Technologies has grown from around 30 employees to almost 200, and our annual revenues have skyrocketed.
One Technologies has been recognized numerous times for our success, impressive growth, and progressive company culture by various trade publications and the "Best Of" lists, including the Dallas Business Journal, Tech Titans Fast 50, and the Inc. 500. We've been recognized as the #1 fastest growing company in Dallas on the 2013-14 SMU 100 list, and were also recently named to the 2016 "Best Companies to Work for in Texas" list, the fourth time we've received this honor.
One Technologies has been able to accomplish amazing things while maintaining a culture that is friendly and fun, yet driven to achieve greatness.
More information about One Technologies is available at onetechnologies.net.
Job Description
This position is responsible for overseeing predictive modeling and statistical analysis. This includes: analyzing complex data structures to generate useful business insights, developing predictive models, key driver analysis and customer segmentation. This position supports the leadership team as a liaison between senior management and the Data Science team. Our goal is to increase the overall ROI for our products and operate as efficiently as possible as a business. We do this by leveraging a combination of tools, analysis techniques, and innovative thinking. Â The director will successfully lead and work alongside a team of Data Scientists and Statisticians to provide accurate results, actionable insights and innovation.
RESPONSIBILITIES
• Develop and lead a team of Data Scientists and Statisticians to derive actionable insights from complex data stores through the development and interpretation of statistical analysis and predictive models.
• Identify key trends, issues and opportunities to optimize our marketing spend, improve customer retention, increase product interaction, and maximize profitability and ROI.
• Provide clear, concise, and actionable recommendations to business stakeholders and executive leadership.
• Collaborate with other members of the team and across the organization to build upon results to create deeper insights.
• Develop and manage in-depth quantitative analyses and predictive models utilizing a combination of tools including:Â SAS, Python, R, SQL, and Excel.
• Identify external sources of data (open data, social media data) to combine with existing data sources for new insights.
• Translate business problems into hypothesis that can be tested.
Qualifications
• Bachelor's Degree in Applied Mathematics or Statistics, Operations Research, Business, or otherwise quantitative degree. A Master's Degree is a plus.
• 10+ years of experience performing in-depth, quantitative analyses of ecommerce data, predictive model development, cluster analysis, key driver analysis, segmentation, etc.
• 6+ years managing an Data Science or Analytics team.
• Ability to work independently and manage multiple tasks across multiple projects.
• Superior analysis, research, critical thinking and problem solving skills.
• Comfortable providing data & knowledge of projects to make presentations to executives in both technical and non-technical language.
• Hands-on experience with machine learning techniques - Random Forest, Boosted Decision Trees, Neural Networks, Logistic Regression and ensemble methods.
• Proficiency with SAS, R, Python or other Statistical tools, as well as SQL and Excel.
• Thrive in a fast paced, timeline oriented team environment.
• Must be detailed oriented.
Additional Information
One Technologies offers attractive compensation, 100% company-paid health and dental insurance, short term and long term disability coverage, paid health club membership, tuition reimbursement and flexible working hours in a casual, open, creative environment.