Senior Data Scientist

Who we are:

Resident is an industry leader in the Direct-to-Consumer (e-commerce) space. While our customers are primarily based in the US, our R&D, Product, and Data teams have been operating out of Tel Aviv since our founding. Our mission is simple, we are building a best-in-class e-commerce platform that leverages data and technology to create a competitive advantage for our brands. Starting from the marketing acquisition funnel and continuing through each customer’s journey, our tools and technology enable us to go the extra step to deliver a world-class customer experience.

Our company is built around continuously improving our ability to introduce new customers to our products, and wow them with exceptional experiences through the shopping and post-purchase journey. We love to use data and metrics to drive our decisions while keeping in mind that customers don’t speak in numbers and that each one should be treated as a member of our family.

Oh, and by the way - you’ll get to work with a diverse group of experts around the globe.  You can expect a hard-working team of people who understand how to create meaningful connections and get great work done virtually - it’s in our nature.

What we do:

We shape the business decision-making process by providing the business units with the data as well as insights about the risks and potential of their initiatives. We make sure to capture the opportunities that require strong data foundations, and we invest heavily in unlocking opportunities that require advanced data modeling. 

What are we looking for?

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 You’ll 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

Qualifications:

• 5+ years in data science, with a proven track record of delivering impactful projects
• Master’s or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics)
• Experience in e-commerce or digital marketing is an advantage
• Expertise in Python, R, SQL, and experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency in machine learning libraries (TensorFlow, PyTorch, Scikit-learn) and wor
• Experience with BI platforms such as Looker, Tableau, or similar tools
• Strong analytical mindset and ability to translate complex data into actionable insights
• Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences
• Experience working with cross-functional teams, including Data, Product, Marketing, and Engineering
• Creative mindset with a passion for continuous learning and staying up-to-date with industry trends