Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 14 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.

We are looking for a data-driven person that is interested in applying your knowledge in analysis, data mining, and modeling to a wide range of business-related studies helping to bridge the gap between product and technology. In this role, you would work closely with different cross-functional teams responsible for the new initiatives to improve Spokeo offerings. Collaborating closely with stakeholders, you would be tasked with challenging questions and data discovery studies that would guide the direction of the projects.

Deliverables, including estimated time of how much of an average week is spent doing each item - this is subject to change:

• 25% - Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted.

• 20% - Collaborate with product and engineering to utilize data to support product initiatives and corporate strategy.

• 15% - Create automated anomaly detection systems and quality assurance metrics to constantly track performance.

• 15% - Communicate best practices in quantitative analysis and develop cross-functional partnerships.

• 15% - Perform Ad-hoc analysis and present results.

• 10% - Keep up to date with the latest technology trend to apply them to our business challenges.

Responsibilities:

• Utilize your quantitative training and qualitative business sense to look beyond the numbers and formulate recommendations.

• Interact, partner and influence business teams to identify opportunities, problems or trends.

• Design and monitor KPI metrics and experimentation studies.

• Influence product owners via data, discussions, presentations, and good communication.

• Promote data-driven decision-making.

• Data exploration, profiling, quality assessments, transformation, and best practices.

• Create data reports, dashboards, and visualizations.

Requirements:

• BS degree in Math, Engineering, Statistics or other quantitative fields.

• 5+ years with quantitative research, analysis, and statistical modeling.

• 3+ years experience with SQL and Python.

• Experience with statistical or mathematical software like Pandas, R, Matlab, SAS, etc.

• Experience with visualization tools (PowerBI, Tableau, Looker, etc).

• Comfortable with incomplete information and minimal guidance.

• Ability to communicate results or concepts in simple terms to wide-range of audience.

• Willing to speak the truth and not afraid to challenge the status quo.

Spokeo offers a bonus program, equity plans, and 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. Additional benefits include; 100% coverage for medical/dental/vision for all employees and unlimited PTO.

Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to: marketplace competition, job leveling, the candidate’s experience, skills, etc.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.