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Senior Data Science Software Engineer

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

Fullstory’s mission is to help teams create amazing online experiences for their customers. We do this by applying deep expertise in distributed systems and computer science to build an ambitiously high-scale, high-value platform, presented in an intuitive manner that customers love.

As a Senior Data Science Software Engineer on the Behavioral Intelligence team, reporting to one of our founding members, you will be a hybrid of a Data Scientist and a Software Engineer. As a Data Scientist, you will perform research and development of algorithms, models and novel machine learning and AI systems. As a Software Engineer, you will work with engineers, designers, and product managers to bring these systems to life from idea, to prototype to production. Working with platform engineers to continue improving the infrastructure to support data science.

We are a product-centric team and work in a tight feedback loop with our customers. You will play a key role in bridging the gap between exploratory data science and scalable, production-ready systems that solve high value problems for some of the world’s leading brands and companies. We are looking for someone with a curious, builder and tinkerer mindset that is eager to make a big impact on important new lines of business for Fullstory through a deep collaboration with a multidisciplinary team of engineers, data scientists, and product managers.

In a typical day, you might:

  • Design and execute experiments that develop algorithms and models that are actionable and create meaningful business value.

  • Develop machine learning systems that model, classify and predict behavior.

  • Write production-quality code and help design the systems that will incorporate your algorithms and models into product features and services.

  • Set up instrumentation and analyses that continuously monitor those product features for quality assurance and customer success.

  • Work with engineers to architect new data science product infrastructure.

Here’s what we’re looking for:

  • Have worked in a product-centric engineering role before, or aspire to, and have experience delivering data-driven features end-to-end from experimentation to production.

  • Have experience in statistics, data analytics (SQL and Python), and machine learning.

  • Have experience building classification or anomaly detection systems (sentiment analysis or fraud detection a plus).

  • Have experience with personalization and recommendation systems (conversion rate optimization [CRO] experience a plus).

  • Are strongly self-motivated, excited to work collaboratively, and comfortable with practices like code reviews, design reviews, and pairing.

  • Have experience partnering with engineers to architect production-ready solutions.

You’ll be joining a very tight knit team filled with passionate, collaborative people, all of whom are excited to meet you!

 #LI-Remote

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

$125000 / YEARLY (est.)
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$100000K
$150000K

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What You Should Know About Senior Data Science Software Engineer , FullStory

At Fullstory, we’re on the lookout for a talented Senior Data Science Software Engineer to join our Behavioral Intelligence team! This role can be performed remotely from anywhere within the United States, which means you get to work in your comfort zone while making a significant impact. Imagine blending your passions for data science and software engineering together — that’s exactly what this position is all about! You’ll be assuming a dual role where you’ll dive into the depths of algorithms and machine learning systems, and then transform those insights into robust, real-world applications alongside fellow engineers, designers, and product managers. Your day might include designing experiments that reveal valuable predictive behaviors, developing sophisticated machine learning models, and writing production-quality code that truly matters. Moreover, you’ll help with creating infrastructure that keeps our data science systems running smoothly. If you’re someone who thrives in a collaborative, innovative environment and enjoys working on product-centric projects, we’d love to chat! This is your chance to connect deeply with interdisciplinary teams to create actionable insights that drive high business value for some of the top brands globally. Join us if you have a curious and tinkering mindset and are eager to shape the future of Fullstory while enjoying a healthy work-life balance with our remote-first culture and numerous employee benefits!

Frequently Asked Questions (FAQs) for Senior Data Science Software Engineer Role at FullStory
What responsibilities does a Senior Data Science Software Engineer have at Fullstory?

As a Senior Data Science Software Engineer at Fullstory, you will take on a mix of responsibilities as both a Data Scientist and a Software Engineer. You'll design and execute experiments for developing actionable algorithms and models, build machine learning systems, write production-quality code, and help architect new data science infrastructure. This collaborative approach is essential, as you'll be working closely with engineers, designers, and product managers to bring data-driven solutions to life.

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What qualifications are required to become a Senior Data Science Software Engineer at Fullstory?

To be considered for the Senior Data Science Software Engineer position at Fullstory, candidates should ideally have experience in product-centric engineering roles, backed by strong skills in statistics, data analytics (especially using SQL and Python), and machine learning. Familiarity with classification systems, recommendation algorithms, and experience in developing production-ready solutions in collaboration with engineers are also highly valued.

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How does the collaborative environment impact the role of a Senior Data Science Software Engineer at Fullstory?

In the role of Senior Data Science Software Engineer at Fullstory, collaboration is key. You'll engage in a tight feedback loop with multidisciplinary teams which enhances creativity and innovation. Working together, you can transform exploratory data science into scalable systems that provide genuine value to customers, making your contributions even more impactful.

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What kind of projects can a Senior Data Science Software Engineer expect to work on at Fullstory?

As a Senior Data Science Software Engineer at Fullstory, you'll tackle high-impact projects that focus on developing machine learning systems to classify and predict user behavior. You'll have the chance to build algorithms for personalization, anomaly detection, and even sentiment analysis, which means your work will significantly influence customer experience for leading brands!

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What benefits come with the Senior Data Science Software Engineer position at Fullstory?

Fullstory offers a generous array of benefits for its Senior Data Science Software Engineers, including flexible remote work arrangements, paid time off, professional development opportunities, and a productivity stipend. With additional perks such as bereavement leave and support for family building, Fullstory prioritizes a healthy work-life balance and personal well-being for their employees.

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Common Interview Questions for Senior Data Science Software Engineer
Can you describe your experience with machine learning systems?

Be ready to share specific projects where you've developed machine learning systems. Highlight the type of models you built, the data sets you used, and the outcomes these systems produced. Employers like Fullstory appreciate detailed answers that demonstrate both your technical ability and the impact of your work.

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How do you approach the process of developing algorithms?

Discuss your step-by-step approach to algorithm development, starting from data exploration to model validation. Explain how you ensure that your algorithms meet business goals and how you work collaboratively with teammates to iterate on your designs.

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What tools and technologies do you prefer to use when performing data analysis?

Mention your experience with tools like Python, SQL, R, or any relevant data visualization software. Talk about why you prefer these tools and give examples of how they have benefited your data analysis process in previous roles.

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Describe how you ensure the quality of your production code.

Quality assurance is crucial in this role. Discuss practices such as code reviews, conducting unit tests, and setting up automated testing systems that you have used to maintain the quality of your production code.

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Can you give an example of working collaboratively with a team to deliver a data-driven feature?

Use a specific example where your teamwork made a significant difference in the project outcome. Share how you collaborated with engineers, designers, or product managers, and highlight the importance of communication and feedback in achieving a successful delivery.

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How do you stay updated with the latest trends in data science and machine learning?

Demonstrate your passion for the field by mentioning relevant online courses, webinars, conferences, or communities you engage with. Explain how staying informed influences your projects and overall approach to data science.

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What is your process for troubleshooting issues within data science projects?

Describe your systematic troubleshooting approach that may involve reviewing code, checking data quality, and using logging tools to identify issues. Provide an example from your past experiences where effective troubleshooting led to a successful resolution.

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How do you measure the success of the machine learning models you create?

Share various metrics you utilize such as accuracy, precision, recall or F1 score, and explain how you align these with the business objectives of the project. Being able to tie technical performance to business impact is crucial.

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What challenges have you faced while implementing machine learning models in production?

Discuss specific challenges, such as data drift or model performance degradation over time, and how you've tackled these issues. Providing solutions or changes you've made shows your proactive approach to real-world problems.

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What excites you about working for Fullstory as a Senior Data Science Software Engineer?

This is an opportunity to convey your genuine interest. Share what attracts you to Fullstory's mission, its collaborative culture, or its innovative products. Tailoring your answer to the company's goals and values will show your potential fit within the team.

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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 8, 2025

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