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at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
were looking for a data Scientist to join our r&d department!
why is this role so important at the company?
we are a data -focused company, and our unique ai and Machine Learning capabilities are the center of our business.
as part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
as a data Scientist in the company, you will work on the very core of the company. part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights.
so, what will you be doing all day?
your daily responsibilities may include:
working on versatile use cases within a dynamic, fast paced production environment
strategic thinking and problem solving, with a strong business sense
analyzing data from various sources, and turning it into usable input
understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
initiating newly defined tasks from exploration to proof of concept
owning the finalization of defined tasks (from poc to deployment in production)
collaborating with data engineers to make sure we reach the desired production results
owning the ongoing validation process for existing metrics
collaborating and brainstorming best practices with other teams within the r&d department
deploying machine-learning models into production for an ongoing use.

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
a day-to-day role as a team manager at the company includes:
managing a multidisciplinary team of data engineers, data scientists, and data analysts.
leading the development of advanced and creative solutions for complex technical challenges in areas like Big Data and Machine Learning.
collaborating closely with data extraction, platform, and product teams.
communicating with business stakeholders and gathering feedback from customers.
hiring new team members and developing the groups structure.
playing a crucial role in shaping Product Strategy within a startup-like environment.
day-to-day, the team you will lead will:
develop statistical and Machine Learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
own end-to-end data processes and pipelines, from research and proof of concept to production.
collaborate with product and r&d teams to plan and deliver best-in-class digital insights.
design, validate, and monitor ongoing processes to ensure quality and reliability.
identify, analyze, and monitor new raw data sources as needed.
about the r&d team
as part of our r&d team at the company, you'll have the opportunity to work on challenging algorithmic problems with no play book solution, solve problems for real customers, and work alongside the best engineers and scientists in the industry.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product. imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
youll find a home for your big ideas: we encourage an open dialogue and empower employees to bring their ideas to the table. youll find the resources you need to take initiative and create meaningful change within the organization.
we offer competitive perks & benefits: we take your well-being seriously, and offer competitive compensation packages to all employees. we also put a strong emphasis on community, with regular team outings and happy hours.
you can grow your career in any direction you choose: interested in becoming a vp or want to transition into a different department? whether its career week, personalized coaching, or our ongoing learning solutions, youll find all the tools and opportunities you need to develop your career right here.
diversity isnt just a buzzword: people want to work in a place where they can be themselves. we strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. we are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience.

the company is the leading digital intelligence platform used by over 3500 global customers. our wide range of solutions power the digital strategies of companies like google, ebay, and adidas.
we help our customers succeed in todays digital world by giving them access to data -driven insights, competitive benchmarks, strategic analysis, and more.
in 2021, we went public on the new york stock exchange, and we havent stopped growing since!
were looking for a data engineer with a strong applied ml focus to join our r&d department!
why is this role so important at the company?
our retail intelligence products help leading brands and retailers understand how their products, brands and categories perform online. behind them is data collected from retailers and marketplaces around the world: product pages, brands and categories, each described differently by every site.
your mission is to turn that data into a single, trusted view: classifying products into a unified taxonomy, normalizing brands and attributes, and matching the same entities across sources. and doing it at scale, across a catalog of more than a billion records that keeps growing and changing every day.
this is an applied ml role within data engineering. youll build with llms, agentic frameworks such as langgraph, embeddings and classical ml, and ship them as production pipelines. its hands-on work, not research for its own sake, but it takes a real understanding of classification and NLP methods to choose the right tool for each problem and prove that it works.
so, what will you be doing all day?
your daily responsibilities may include:
designing and building llm-powered and ml-based pipelines that classify, normalize, structure and match product, brand and category data
building agentic workflows (langgraph or similar) that automate complex data tasks end to end
choosing the right approach for each problem (llms, embeddings, fine-tuned models, classical classifiers or rules), balancing accuracy, cost and latency
scaling solutions to run efficiently over billions of records, using spark, databricks and our cloud infrastructure
building evaluation frameworks: ground-truth datasets, labeling processes, quality metrics and ongoing monitoring
taking solutions from poc to production, and owning them after launch
working closely with product to define requirements and shape the roadmap
collaborating with data engineers, data scientists and other r&d teams on infrastructure and best practices

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