Data Scientist (Machine Learning)

Lomotif is a social video app for anyone with an original voice to express freely. Since our launch in June 2014, we have seen tremendous growth among Gen Z teens in Brazil, the United States, and Russia with $0 spent on marketing even until today. We now have over 150 million downloads and users creating and sharing more than 1 billion clips every month: selfie music videos, moments with family and friends, urban fashion trends, lifestyle content, and more. Our team is expanding quickly to meet the growing demand for our platform. As a Data Scientist (Machine Learning), you will be responsible for developing predictive models that drive user engagement, retention, and revenue growth. You will work closely with cross-functional teams to design and implement experiments, analyze results, and provide data-driven insights to inform product decisions. Your responsibilities will include: • Developing and deploying machine learning models using Python and TensorFlow or PyTorch; • Collaborating with the data engineering team to design and implement data pipelines and architectures; • Analyzing large datasets to identify trends, patterns, and correlations; • Creating data visualizations and reports to communicate insights to stakeholders; • Staying up-to-date with industry trends and advancements in machine learning and deep learning. We are looking for a highly motivated and detail-oriented individual who has a strong foundation in machine learning and statistics. You should have experience working with large datasets, developing predictive models, and communicating insights to non-technical stakeholders. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field is required. What We Offer: • Competitive salary and benefits package; • Opportunity to work on a cutting-edge platform with a rapidly growing user base; • Collaborative and dynamic work environment; • Professional development opportunities and training programs; • Flexible working hours and remote work options. If you are passionate about machine learning, data science, and building innovative products, we would love to hear from you. Please submit your resume, cover letter, and any relevant projects or code samples.