Data Scientist

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November 21

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ResponsiveAds

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Advertising • SaaS • Digital Media

ResponsiveAds is a company that specializes in providing innovative advertising solutions and creative tools tailored for digital media across all platforms and devices. Their platform simplifies the process of creating, resizing, and deploying HTML5 display and video ads, offering advanced features like shoppable content, playable audio, and dynamic data integrations. Companies looking to enhance brand engagement benefit from their powerful ad templates and creative automation capabilities, making ad production faster and more efficient. ResponsiveAds boasts an impressive array of tools for optimizing ad delivery and personalization, ensuring high impact and engagement for publishers, agencies, and brands alike. By leveraging advanced analytics and dynamic creative optimization, ResponsiveAds facilitates the successful development and execution of high-performance digital ad campaigns.

11 - 50 employees

☁️ SaaS

💰 $120k Pre Seed Round on 2016-02

📋 Description

• Play a key part in advancing ResponsiveAds to the forefront of AI in ad tech. • Collaborate closely with the backend engineering leads through the data science and engineering landscape. • Mine data to extract insights and build models to handle customer needs. • Collaborate on the full lifecycle of ML projects, encompassing data processing, model development, integration, and ongoing maintenance in production environments. • Wear many hats as you refine your ML engineering and data science skills across tools.

🎯 Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science or related field • Canadian Resident. • 3+ years of experience (or equivalent) working with data science (AI, machine learning) or algorithm design (academic or practical). • Strong understanding of data processing techniques such as data cleaning, feature engineering, data wrangling. • Background knowledge of (CSS, JavaScript, HTML) is essential for our machine learning projects. Our models analyze creative ad layouts, requiring an understanding of DOM structure. • Strong knowledge of supervised, unsupervised, reinforcement learning models, LLM, and assessing models performance. • Knowledge of MongoDB and SQL. • Strong communication skills and ability to collaborate remotely. • Team-oriented initiative personality with a positive attitude and a love for the backend and startups. • **“BONUS” QUALIFICATIONS** • Experience with AWS and GCP services. • Understanding of how HTML structure impacts layout, essential for our machine learning projects. • Experience in AdTech.

🏖️ Benefits

• Some reasons why you’d want to work with us: • - You want to play a big part in a small but profitable company that is an industry leader. • - You do your best in a setting where excellent work is what’s valued—not face time (a good work-life balance is just how we do things!) • - You value authenticity and a work environment that values who you are and what you can do. • - You’re looking for a big challenge that involves lots of variety, collaboration, inventiveness, and on your toes thinking. • - You want to work alongside a diverse group of people who are passionate, friendly, and helpful. • - We have been a fully remote team from the start 6+ years. • Our benefits include: • - A strong commitment to work-life balance. We provide a flexible work and vacation time. • - Generous paid time off and flexible work-from-home policies. • - Offer the ability to take educational courses and support your continuous learning. • - Continuous merit-based pay increases. • - Stipend paid parental family leave policies to support you during major life events.