Senior Data scientist
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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 ecommerce 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 that understands 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 the 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 on unlocking opportunities that require advanced data modeling.
What You’ll Be Doing:
We are looking for a highly skilled and experienced Senior Data Scientist to join our fast-paced and innovative ecommerce company. As a Senior Data Scientist, you will play a critical role in driving data-driven decision making and leveraging advanced analytical techniques to optimize our business processes and drive growth. This position offers an exciting opportunity to work on a versatile range of models and applications, contributing to various aspects of our business.
Roles and Responsibilities
- Model Development: Develop, implement, and maintain advanced analytical models to support various business functions.
- Data Analysis: Analyze large and complex datasets to derive actionable insights and make data-driven recommendations to improve operational efficiency, customer experience, and revenue generation.
- Statistical Analysis: Apply statistical methods and hypothesis testing to assess the significance and reliability of findings, ensuring the accuracy and validity of data-driven insights.
- Data Visualization: Create compelling visualizations and dashboards to effectively communicate complex findings and insights to stakeholders across the organization.
- Cross-functional Collaboration: Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data science opportunities, prioritize projects, and drive successful implementation.
- Model Deployment and Monitoring: Deploy models into production environments and establish monitoring mechanisms to ensure their ongoing accuracy and effectiveness.
- Stay Up-to-Date: Stay abreast of the latest developments in data science, machine learning, and statistical modeling techniques, and proactively bring in new methodologies to enhance our analytics capabilities.
Requirements
- Master's or Ph.D. degree in a quantitative field such as Data Science, Statistics, or related disciplines.
- Minimum of 3 years of professional experience in a data science role
- Proven experience working with a diverse range of models, including time series forecasting, causal impact analysis, linear regression, leadscore modeling, recommendation systems, classification, and anomaly detection.
- Proficiency in Python. Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, PyTorch).
- Strong understanding of statistical concepts and methodologies, with the ability to apply them effectively in real-world scenarios (e.g. hypothesis testing, experimental design, bayesian statistics)
- Demonstrated understanding and experience in marketing analytics, including attribution modeling, marketing mix modeling (MMM) - advantage
- Experience with SQL & data manipulation techniques, including cleaning, transformation, and merging of large datasets.
- Experience creating clear and visually appealing dashboards using tools such as Looker, Tableau, or similar platforms.
- Demonstrated ability to understand complex business problems, translate them into analytical questions, and provide data-driven insights and recommendations to drive business impact.
- Excellent written and verbal communication skills in English with the ability to explain complex concepts to both technical and non-technical stakeholders.
- Strong problem-solving skills, critical thinking abilities, and attention to detail. Ability to approach problems from a structured and logical perspective.
- Proven track record of collaborating effectively in cross-functional teams and the ability to work in a fast-paced environment.
