Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re actively looking for a hands-on Senior Data Scientist to focus on building ML models for scalable consumer-based services (or non-consumer services that require highly scalable ML models for predictions and classifications). As a Senior Data Scientist , you’ll report to the Data Science Manager and work closely with both our Data Science and Engineering teams.

You will play a crucial role in developing models for complex parts of our business. You will analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of our current models.

You will collaborate closely with cross-functional teams to translate insights into actionable solutions. This is a hands-on position where you will apply your expertise in statistical modeling, machine learning, and data mining techniques. S.

will also be considered. Our Mission: Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.

We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale.

Read more about our growth here .

What You Will Do

: Data Analysis and Exploration: You will need to explore and analyze large volumes of data to gain insights and identify patterns relevant to your modeling objectives. This involves data cleaning, preprocessing, and transforming data into a suitable format for modeling Model Development: You will design and develop models using statistical and machine-learning techniques. This includes selecting appropriate algorithms, feature engineering, model training, and evaluation Data Preparation: You will be responsible for preparing the data required for modeling, including gathering and integrating data from various sources, ensuring data quality and consistency, and defining appropriate features and variables Model Evaluation and Testing: You will assess the performance and accuracy of the models using appropriate evaluation metrics.

This includes conducting experiments, cross-validation, and measuring the effectiveness of recommendations Optimization and Tuning: You will fine-tune models to optimize their performance, improve accuracy, reduce bias or overfitting, and enhance the efficiency of the algorithms.

Requirements

Senior Data Scientist (USA / Israel)