Job Link: https://ziphire.hr/job/5a873b83-00d6-4174-89f1-59ed23227a9a Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA. In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. Your contributions will be crucial in developing cutting-edge solutions that improve user experiences and optimize operational efficiencies across various domains. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and interpret images and videos, collaborating closely with cross-functional teams to integrate these capabilities into our products. Your responsibilities will include preprocessing large datasets, deploying machine learning frameworks, and conducting experiments to refine model accuracy. You will also have the opportunity to present your findings to stakeholders, influencing our strategic direction in the technology landscape. The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Proficiency in programming languages such as Python or R, along with experience in utilizing frameworks like TensorFlow or PyTorch, is essential. A passion for problem-solving and a creative mindset will set you apart as you tackle complex challenges in the field. This is an exciting opportunity to join a forward-thinking company that champions innovation and embraces the latest advancements in technology. At Glocomms, you will not only contribute to groundbreaking projects but also enjoy a collaborative work environment that fosters professional growth and development. Join us as we redefine the future of technology through the power of data and vision.

Job Link: https://ziphire.hr/job/5a873b83-00d6-4174-89f1-59ed23227a9a Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA. In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. Your contributions will be crucial in developing cutting-edge solutions that improve user experiences and optimize operational efficiencies across various domains. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and interpret images and videos, collaborating closely with cross-functional teams to integrate these capabilities into our products. Your responsibilities will include preprocessing large datasets, deploying machine learning frameworks, and conducting experiments to refine model accuracy. You will also have the opportunity to present your findings to stakeholders, influencing our strategic direction in the technology landscape. The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Proficiency in programming languages such as Python or R, along with experience in utilizing frameworks like TensorFlow or PyTorch, is essential. A passion for problem-solving and a creative mindset will set you apart as you tackle complex challenges in the field. This is an exciting opportunity to join a forward-thinking company that champions innovation and embraces the latest advancements in technology. At Glocomms, you will not only contribute to groundbreaking projects but also enjoy a collaborative work environment that fosters professional growth and development. Join us as we redefine the future of technology through the power of data and vision.

Job Link: https://ziphire.hr/job/5a873b83-00d6-4174-89f1-59ed23227a9a Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA. In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. Your contributions will be crucial in developing cutting-edge solutions that improve user experiences and optimize operational efficiencies across various domains. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and interpret images and videos, collaborating closely with cross-functional teams to integrate these capabilities into our products. Your responsibilities will include preprocessing large datasets, deploying machine learning frameworks, and conducting experiments to refine model accuracy. You will also have the opportunity to present your findings to stakeholders, influencing our strategic direction in the technology landscape. The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Proficiency in programming languages such as Python or R, along with experience in utilizing frameworks like TensorFlow or PyTorch, is essential. A passion for problem-solving and a creative mindset will set you apart as you tackle complex challenges in the field. This is an exciting opportunity to join a forward-thinking company that champions innovation and embraces the latest advancements in technology. At Glocomms, you will not only contribute to groundbreaking projects but also enjoy a collaborative work environment that fosters professional growth and development. Join us as we redefine the future of technology through the power of data and vision.

• Partner with other data scientists, analytics engineers, and business stakeholders to generate actionable insights that inform paid media strategy and execution • Contribute to the development and enhancement of marketing attribution models (e.g., MTA, MMM, LTV), working closely with stakeholders to define MMM inputs, establish modeling constraints, validate findings, generate marginal ROAS curves, and translate insights into actionable budget scenario planning. • Design and implement experiments and statistical models to evaluate incrementality, lift, and media effectiveness, including delivering high-profile experimentation readouts to senior stakeholders. • Build and maintain data pipelines and dashboards that enable data-informed financial decisions and optimize ROAS and customer LTV • Translate ambiguous business problems into structured analytical approaches and deliver high-impact solutions independently • Write production-quality code (Python, SQL, etc.) to manipulate and analyze large-scale datasets • Communicate clear, data-driven recommendations to both technical and non-technical partners