Appodeal

FullTime

<div><div style="padding: 0; margin: 15px 0 15px 0">Description<div style="padding: 0; margin: 15px 0 15px 0"> Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Virginia along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: to help every person discover and grow their talents! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: <ul style="margin: 15px 0 15px 0; padding: 0 0 0 20px"><li style="margin-bottom: 5px"> Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers. </li><li style="margin-bottom: 5px"> Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry. </li><li style="margin-bottom: 5px"> Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors. </li><li style="margin-bottom: 5px"> Enjoying the Journey: We believe in having fun while working toward our goals. </li></ul></div> We are looking for an experienced Data Scientist /Machine Learning Engineer to add to our Data team. Responsibilities: <ul style="margin: 15px 0 15px 0; padding: 0 0 0 20px"><li style="margin-bottom: 5px"> Analyze data to identify trends, patterns, and actionable insights, independently solving complex data-related problems. </li><li style="margin-bottom: 5px"> Design and develop end-to-end data science solutions, from initial analysis and model development to deployment, optimizing for performance and scalability. This includes creating models tailored to optimizing ad targeting, bid strategies, and campaign performance analysis. </li><li style="margin-bottom: 5px"> Collaborate with both technical and business teams to understand requirements and translate them into data-driven solutions and insights, particularly focusing on enhancing advertising effectiveness and ROI. </li><li style="margin-bottom: 5px"> Maintain and optimize existing data processing pipelines and machine learning models, with a strong emphasis on applications within the ad-tech ecosystem, ensuring high efficiency and alignment with dynamic market trends. </li></ul> Technology Stack: <ul style="margin: 15px 0 15px 0; padding: 0 0 0 20px"><li style="margin-bottom: 5px"> Proficiency in Python and SQL. </li><li style="margin-bottom: 5px"> Experience with manipulation frameworks such as PySpark and Pandas. </li><li style="margin-bottom: 5px"> Skilled at using cloud services such as AWS etc. </li><li style="margin-bottom: 5px"> Hands-on experience in DNN models training libraries and frameworks (pytorch, hydra, comet etc.) </li></ul> Qualifications: <ul style="margin: 15px 0 15px 0; padding: 0 0 0 20px"><li style="margin-bottom: 5px"> Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. </li><li style="margin-bottom: 5px"> 3+ years of experience in data science, preferably in a product-focused environment. </li><li style="margin-bottom: 5px"> 2+ years experience in AdTech. </li><li style="margin-bottom: 5px"> Strong analytical skills with the ability to derive insights from complex datasets. </li><li style="margin-bottom: 5px"> Proficiency in statistical modeling and machine learning techniques. </li><li style="margin-bottom: 5px"> Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. </li></ul> Why Join Us: <ul style="margin: 15px 0 15px 0; padding: 0 0 0 20px"><li style="margin-bottom: 5px"> Opportunity to work on cutting-edge projects with a global impact in the mobile app industry. </li><li style="margin-bottom: 5px"> A collaborative and inclusive work culture that values innovation and continuous learning. </li><li style="margin-bottom: 5px"> Competitive salary, flexible work arrangements, and comprehensive benefits package. </li><li style="margin-bottom: 5px"> Professional development opportunities and career growth prospects within a fast-growing company. </li></ul> Relocation to Barcelona is optional and based on the candidate's preference. <div style="padding: 0; margin: 15px 0 15px 0"> With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success! </div></div></div>

Appodeal

Data Scientist/ML Engineer

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