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Behavioral Data Scientist

 This role can be performed remotely anywhere within the United States.

As Senior Behavioral Data Scientist on the Product team at Fullstory, you will be a thought leader for our analytics innovations. This role will function as an internal advisor to product teams and customers who are looking for guidance in data best practices that will drive maximum value for their businesses. Reporting to the Director of Product Operations & Insights, you’ll be working with other data analysts, engineers and product managers to convert customer needs into features within the Fullstory platform.

In a typical day, you might:

  • Proactively identify and analyze trends, user behavior patterns, and correlations to uncover opportunities for new product features and enhancements that address customer needs

  • Lead data experimentation and A/B testing practices.

  • Develop and apply statistical models and machine learning algorithms that can be built into our platform to help customers understand and predict behavioral patterns.

  • Identify the most meaningful metrics for each industry vertical and provide benchmark analyses for our customers to utilize.

  • Stay current with advancements in data science methodologies and behavioral analysis techniques.

  • Work with product managers to roadmap new data product features or enhancements.

  • Collaborate with customers, marketing teams, and other stakeholders to address business challenges and opportunities.

  • Collaborate with data engineers to optimize data infrastructure and ensure data quality for reporting and analysis purposes.

Here’s what we’re looking for:

  • Curious, critical thinker who contributes to product innovation.

  • Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.

  • Excellent communication skills for presenting findings and recommendations to non-technical audiences.

  • Self-directed and comfortable working with ambiguity, taking initiative to explore new ideas and solutions, and adapting to changing priorities in a fast-paced environment.

  • Proficient in data analysis and statistical modeling using Python (including libraries like pandas, scikit-learn, and TensorFlow), SQL, and R.

  • Experience with data visualization products like Looker and Tableau.

  • Experience with data engineering concepts and technologies preferred, such as ETL processes, data warehousing, and data pipelines.

The impact you will have in 6 Months:

  • You’re a go-to advisor for both internal product teams and external customers seeking guidance on Fullstory’s behavioral analytics.

  • You’ve created a framework for each industry’s key metrics and strategic goals.

  • You influence our product roadmap with your insights into the ways Fullstory can deepen the out-of-the box insights available in our data product.

The impact you will have in 12 Months:

Your co-creation efforts result in new features that have moved the needle for Fullstory data product usage and adoption.

The base salary for this position ranges between $150,000 - $175,000 USD. Base salary will vary based on relevant experience, job-related skills and qualifications.

#LI-Remote #LI-CD1

About Fullstory

Fullstory is on a mission to help technology leaders make better, more informed decisions by injecting behavioral data into their analytics stack. The company’s patented technology unlocks the power of quality behavioral data at scale by transforming every digital visit into actionable data and insights. With Fullstory, enterprises can get closer to their customers’ true sentiment and intentions to predict what they want, create personalized experiences, and drive conversion, loyalty, and revenue. Fullstory is headquartered in Atlanta, USA, with regional teams across North America, EMEA and APAC.

How we support you:

Fullstorians are committed to building something better—from how we approach our product, to how we care for our customers and each other. Better is only possible when we can bring our full selves to work. Along these lines, we offer:

  • Autonomy and flexibility. From a remote-first work environment and flexible paid time off, to an annual company-wide closure – Fullstorians can focus on the moments that matter.

  • Benefits. Take care of the whole you. FullStory offers sponsored benefit packages for US-based Fullstorians, and supplemental coverage options for international Fullstorians.

  • Learning opportunities. We provide professional development opportunities through training programs, career coaching sessions, and an annual learning subsidy.

  • Productivity support. We provide all Fullstorians with a monthly productivity stipend and reimburse remote colleagues for their initial home office set up.

  • Team events. Connect with fellow Fullstorians through Employee Resource Group events, Listening & Alignment weeks, and team off-sites.

  • Paid parental leave. Fullstorians have the flexibility to balance the needs of their growing families without the added stress of figuring out work and finances.

  • Grow your family. We offer a global fertility and family building benefit that encompasses all journeys to growing your family.

  • Bereavement leave. Every family is different; we leave it to you to define who your family is, and support you when you need it most.

  • Miscarriage/Pregnancy loss leave. Whether it is for a Fullstorian or their partner – take the time you need.

Fullstory is proud to be an equal opportunity workplace dedicated to fostering an increasingly diverse community. We want candidates of all human varieties, backgrounds, and lifestyles. There’s no problem that can’t be made better by bringing together people with a broader set of perspectives. If our product, values, and community resonate with you, please apply - we'd love to hear from you!

If you may require reasonable accommodations to participate in our job application or interview process, please contact accommodations@fullstory.com. Requests for accommodations will be treated confidentially.

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Average salary estimate

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$150000K
$175000K

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What You Should Know About Behavioral Data Scientist, FullStory

As the Senior Behavioral Data Scientist at Fullstory, you'll be stepping into an exciting role where you'll become a pivotal part of the Product team, impacting the way we understand user behavior across our platform. Working remotely anywhere within the United States, you'll collaborate closely with data analysts, engineers, and product managers to transform customer feedback and needs into innovative features that enhance the Fullstory experience. Your keen analytical skills will be put to good use as you explore trends, user behavior patterns, and correlations to unveil valuable opportunities for new product enhancements. You'll lead A/B testing and data experimentation, diving deep into statistical models and machine learning algorithms that provide actionable insights to our customers. A key part of your role will be determining critical metrics for various industries and producing benchmark analyses that empower our clients. You will also keep us ahead of the game by staying current with advances in data science methodologies. If you thrive in a collaborative environment and possess a curious mind eager for exploration, then Fullstory is the perfect place for your talents to flourish—helping us deepen the insights offered by our data product while driving customer success.

Frequently Asked Questions (FAQs) for Behavioral Data Scientist Role at FullStory
What are the main responsibilities of a Senior Behavioral Data Scientist at Fullstory?

As a Senior Behavioral Data Scientist at Fullstory, your main responsibilities will involve leading data analysis initiatives to uncover user behavior trends, driving A/B testing methods, and designing statistical models and machine learning algorithms. You’ll also work on developing features based on client needs, collaborate with product teams, and optimize data infrastructure to ensure the highest quality reporting.

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What qualifications are needed for the Senior Behavioral Data Scientist position at Fullstory?

Fullstory is looking for candidates with strong analytical skills, proficiency in data analysis and statistical modeling using tools like Python, SQL, and R. Experience with data visualization tools and familiarity with data engineering concepts is preferred. Additionally, effective communication skills are crucial for presenting insights to non-technical audiences.

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How does the Senior Behavioral Data Scientist contribute to product innovation at Fullstory?

The Senior Behavioral Data Scientist contributes to product innovation by identifying opportunities for new features through data analysis and user pattern recognition. Your role as a thought leader allows you to influence product roadmaps, ensuring our analytics offerings are continuously improving and meeting customer demands.

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What impact will I have after six months in the Senior Behavioral Data Scientist role at Fullstory?

After six months in the Senior Behavioral Data Scientist position at Fullstory, you'll become a key advisor for product teams and customers, developing essential frameworks for critical metrics tailored to specific industries and impacting our product roadmap with valuable insights.

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What can I expect from Fullstory's work culture as a Senior Behavioral Data Scientist?

At Fullstory, you can expect a remote-first, flexible work culture that prioritizes employee well-being and professional development. The company promotes autonomy, offers comprehensive benefits, and encourages collaborative opportunities through team events and continuous learning. Plus, you'll be part of a diverse community that values all perspectives.

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Common Interview Questions for Behavioral Data Scientist
Can you describe your approach to identifying user behavior trends?

When discussing my approach to identifying user behavior trends, I emphasize my experience with data analysis techniques, utilizing statistical models to track user engagement over time. I explain how I triangulate data from various sources to validate patterns and insights, ultimately driving product enhancements.

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What statistical models are you most comfortable with for behavioral analysis?

I'm most comfortable with linear regression, decision trees, and time-series analysis for behavioral analysis. I would explain how I've applied these models in past roles to uncover significant insights, making sure to highlight specific examples of projects where these models were successfully implemented.

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How do you conduct A/B testing, and what metrics do you focus on?

In conducting A/B testing, I carefully define my hypothesis, determine a suitable sample size, and select metrics that align with our goals, such as conversion rate or user interaction. I would share a specific example of a successful test, detailing the process and outcomes to illustrate my competence.

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Can you give an example of how you derived actionable insights from complex data sets?

Certainly! I once analyzed a large dataset to identify customer drop-off points during the signup process. By creating visualizations that showcased engagement patterns, I presented these findings to the product team, leading to targeted improvements that significantly boosted conversions.

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How do you prioritize which features to develop based on your data analysis?

I prioritize features based on their potential impact on user engagement and feedback quality. I assess market trends, customer needs, and the feasibility of implementing these features while ensuring alignment with our company’s broader strategic goals.

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How do you stay updated on the latest developments in data science methodologies?

I stay current by following industry publications, participating in online data science communities, and attending webinars and conferences. Continuous learning is key, and I make it a point to apply new methodologies in my work to assess their relevance.

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Describe your experience with data visualization tools like Looker or Tableau.

I have a strong background in using Looker and Tableau for creating insightful dashboards and reports. I emphasize my ability to tailor visualizations for various audiences, ensuring complex data is easily interpretable by stakeholders without a technical background.

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How have you handled ambiguous situations in previous data projects?

In dealing with ambiguity, I focus on establishing a clear framework for analysis and iteration. I’m proactive in seeking additional information and engaging with team members to align on objectives, transforming ambiguity into actionable tasks.

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What’s your experience working with product managers and engineering teams?

I have extensive experience collaborating with product managers and engineering teams, specifically in aligning data insights with product strategies. I ensure communication remains open and constructive, fostering an environment conducive to innovative solutions.

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What motivates you about the role of a Senior Behavioral Data Scientist at Fullstory?

I'm motivated by the opportunity to transform complex data into strategies that enable companies to understand their customers better. Being part of a mission that values behavioral data and customer success resonates with my professional goals and passion for analytics.

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Founded in 2014 on the belief that everyone benefits from a more perfect digital experience, FullStory helps businesses understand, measure, and improve their digital experience across sites and apps. At the core of FullStory’s platform is a power...

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Full-time, remote
DATE POSTED
January 14, 2025

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