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We are seeking a Senior Data Scientist to lead high-impact initiatives that drive business growth. As part of a highly data-driven organization, this role tackles some of the business's most complex and strategic challenges. You will apply advanced analytics, machine learning, and statistical modeling to uncover insights, optimize decision-making, and enhance strategies across marketing, customer experience, and operations. In this role, you will develop predictive models to forecast key business metrics and improve segmentation strategies. Additionally, you will refine marketing attribution models and collaborate with stakeholders to translate complex data into actionable recommendations that drive measurable outcomes. With direct influence on business strategy, you will have the opportunity to solve critical problems, drive innovation, and make a lasting impact in a fast-paced e-commerce environment.
We are looking for a curious and creative problem solver who thrives on tackling challenges with data. If you think beyond the obvious, leveraging analytics to uncover opportunities and drive innovation, and you are always learning, staying ahead of industry trends, and pushing the boundaries of what is possible in data science, then this is the opportunity for you.
What Youll Be Doing:
Identify and lead data science initiatives to solve business challenges drive strategic growth and implement advanced predictive models to analyze customer behavior, forecast lifetime value, and identify actionable opportunities
Use statistical and machine learning techniques to optimize marketing, personalize customer experiences, and enhance segmentation frameworks for targeted marketing efforts
Develop attribution models to measure the impact of marketing channels on conversions
Conduct time series modeling to forecast revenue and analyze business trends
Collaborate with cross-functional teams to understand business needs and translate data insights into actionable recommendations
Build scalable solutions for large-scale datasets and ensure models are production-ready
Continuously explore and implement emerging data science techniques and best practices to drive innovation.

We are looking for a brilliant Marketing Analyst who is a quick learner and an independent, logical thinker for our Marketing Analytics team. The position combines deep business & marketing understanding, working closely with the Marketing teams, generating data-driven insights, developing processes and tools, and improving and innovating measurement solutions. You will collaborate internally and externally with marketing platforms and 3P vendors to maintain our position as a leader in utilizing marketing data and measurement effectively. Our Marketing Analyst will be part of the team that brings superpowers to our marketing teams and allows the company to achieve its ambitious goals.
Roles and Responsibilities:
Measure the performance and effectiveness of marketing investment across a diverse set of marketing channels, with a focus on paid social media
Lead Analytical processes, challenge the status quo from hypothesis to actionable insights
Turn great ideas into automated and scaled data-driven processes
Work closely with the Marketing teams to identify opportunities and measure their impact.

We are looking for a brilliant, quick learner Data Engineer for our data engineering team - an independent, logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with a business orientation. It involves working closely with the analysts and the R&D team and directly affecting the company's cross-department decisions. Our Data Engineer should be able to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges and creating them to make our team even better.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines and ETLs in light of business requirements: from the source to the analyst's hands, enabling them the ideal conditions to make smart and data-driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions- in-house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline, and more.
Deep understanding of the business needs, technical requirements, and the companys roadmap, translating it into custom-made data solutions and scalable products.
Craft code following best practices to ensure efficiency while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources- Marketing, Operations, CS, Product, CRM, and more, tying them up to a valuable and useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards, monitoring, and reliability processes.

We are looking for a brilliant Business Analyst who is a quick learner and an independent, logical thinker for our Business Analytics team.
The position combines deep business understanding with close collaboration with the Business, Operations, and Finance teams. Our Business Analytics team is the center of decision-making for Business (pricing, margin, new product launches), performance (COGs, shipping, returns), operations (forecasts & inventory) , using data, automation, and business insights to help us achieve our goals.
Roles and Responsibilities:
Collaborate with cross-functional teams to understand business requirements and provide valuable insights and action items to support business goals
Extracting key insights for an optimal and efficient decision-making process
Dive into new business models/products/markets.

We are looking for a Senior Product Manager to play a key role in a leading position within our dynamic product team, in a fast-growing company. Our product plays a critical role in improving people's health and well-being, assisting them in achieving their health goals.
As our Product Manager, your focus will always be on creating user-centric solutions that meet the needs and exceed the expectations of our customers.
You will be responsible for defining product objectives and guiding them from idea generation to tangible results.
Responsibilities:
Own the product development process, starting from ideation and strategic planning to delivery, live launch, post-launch tracking, and ongoing optimization to ensure its success
Ensure the success of an excellent product by leading a multidisciplinary team of developers, designers, analysts, data scientists, and domain experts
Monitor and analyze product performance metrics, and use insights to inform future product development decisions
Translate the product strategy into a comprehensive roadmap and successful solutions that align with the organization's overall goals and objectives
Develop a deep understanding of our users by conducting thorough research, data analysis, customer interviews, and usability testing to ensure that the product meets their needs and expectations
Communicate product vision and strategy to stakeholders and leadership
Mentor a meaningful product culture by fostering a collaborative and enjoyable working environment that nurtures the professional growth of team members

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production .
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards.