Senior Data Scientist, Product Analytics

Key Skills

Adobe Analytics, Algorithms, Analytical and Problem solving, Data Analysis, Data science techniques, Data Visualization, Forecasting, Google-Analytics, Looker, Machine learning techniques, PowerBI, Product Analytics, Python Programming, R Programming, SQL, Tableau

Job Description

The core responsibilities of the Senior Data Scientist entail a collaborative engagement with key business units to elevate consumer engagement, and conversion rates, and streamline the consumer journey within our ecosystem. By spearheading initiatives to enhance the quality of clickstream tracking and performing in-depth analyses, the successful candidate will unlock new understandings and track shifts in consumer behavior. This role offers a unique opportunity to make a significant, swift impact within the company.

Working in concert with leaders from Product, Design, and Engineering, this role is instrumental in guiding http://Realtor.com ‘s strategic direction. The ideal candidate will have demonstrated success in utilizing web analytics and event tracking to navigate complex data landscapes, delivering insights that drive informed decision-making across the organization. Their mastery of data science and advanced analytics will be vital in distilling valuable information from extensive datasets. Moreover, we are searching for someone who can effectively influence executives and stakeholders, fostering a culture of disciplined achievement.

Candidates should be well-versed in areas such as clickstream tracking, optimizing consumer funnels, consumer analytics, segmentation, and the execution of A/B testing. Responsibilities will also include crafting tracking plans to bolster engagement, analyzing A/B testing results, spotting product development opportunities, dissecting consumer behavior, conducting thorough pre-post analyses, and precisely measuring and reporting performance metrics across http://Realtor.com ‘s consumer internet business segments.

What you’ll do:

• Support the Product team in accomplishing the goals and objectives of the Consumer internet businesses.
• Partner with the engineering and business intelligence teams to drive improvements to track and data quality.
• Conduct deep-dive analysis of complex datasets to understand product performance using statistical techniques, machine learning algorithms, and data visualization tools.
• Identify patterns, trends, and correlations in data to uncover actionable insights and provide recommendations for business improvement.
• Develop and monitor KPIs to drive high-level oversight of business initiatives and company health, and develop regular insights from the data to enable performance management and facilitate accountabilities
• Communicate findings and insights to technical and non-technical stakeholders through clear and compelling visualizations, reports, and presentations.
• Partner with the Product organization on data-driven decision-making, idea generation, and rigorous measurement.
• Lead exploratory analysis to identify and size product development opportunities to determine tradeoffs between product features that grow and optimize the product offering
• Guide and inform OKR development with product leadership.

How we work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

What you’ll bring:

• Bachelor’s or Master’s degree with a focus in Analytics, Product Marketing, Statistics, Applied Math, Data Science, Economics, or a related field.
• 5+ years’ experience as a Data Analyst or similar role, with a focus on web analytics or data science
• Experience with designing and executing A/B testing experiments to evaluate the effectiveness of different strategies and interventions, analyzing the results to provide actionable insights and recommendations
• Strong analytical, critical thinking, decision-making, and problem-solving skills; Experience with Product Analytics a plus.
• Solid understanding of SQL and experience working with relational databases.
• Experience in digital tools, including Adobe Analytics, Google Analytics, and data visualization tools such as Tableau, Looker, or Power BI
• Proficiency in programming languages such as Python or R for data analysis and modeling.
• Proven track record of translating business problems into an analytical framework, developing plans for answering complex problems, and delivering analytic insights.
• Experience applying advanced analytic disciplines to financial, consumer audience/user experience, and product-level modeling, forecasting, marketing, etc.
• Strong communication and presentation skills, with the ability to convey complex ideas to both technical and non-technical stakeholders.
• Ability to remain flexible and thrive in a fast-paced and often hectic environment

Do the best work of your life at Realtor.com

Building your career? Build it better at Realtor.com®. Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.