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Data Science Innovator for E-Commerce Supply Chain
1 week ago
TikTok is the leading platform for short-form mobile video, dedicated to inspiring creativity and bringing joy. Our global offices in Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo serve as hubs for innovation and growth.
Our Mission
At TikTok, we believe that creation is at the core of our purpose. Our platform is designed to help imaginations thrive, and our teams are instrumental in making this vision a reality. We inspire creativity and bring joy - a mission we all believe in and strive to achieve every day. Every challenge is an opportunity to learn, innovate, and grow as one team.
The Role Overview
We're seeking a talented Machine Learning Engineer with expertise in marketplace growth to join our dynamic team. In this role, you will collaborate with cross-functional teams to develop innovative solutions that unlock the value hidden within our data, leading to improved decision-making and operational efficiencies.
Key Responsibilities:
1. Develop machine learning algorithms for various tasks, including customer segmentation, scoring, outreach, marketing, characterization, and incentive optimization.
2. Support marketplace growth business goal attainment through optimizing outreach based on click-through rate estimation, outreach timing selection, target audience selection, and causal studies.
3. Collaborate with data scientists, analysts, and subject matter experts to define data mining objectives and develop strategies to address complex business problems and opportunities.
4. Apply feature engineering techniques to derive relevant features and embeddings from raw data and improve the performance of data mining models.
5. Evaluate and benchmark different machine learning approaches, algorithms, and tools, and recommend the most appropriate solutions based on performance, scalability, and interpretability.
6. Stay updated with the latest advancements in data mining, machine learning, and related fields, and apply this knowledge to enhance the team's capabilities and identify new opportunities.
7. Communicate findings, insights, and technical concepts effectively to both technical and non-technical stakeholders, fostering a collaborative and data-driven decision-making culture.
Qualifications:
1. Master's or advanced degree in Computer Science, Data Science, Statistics, or a related field.
2. 3+ years of experience as a Machine Learning Engineer, Data Scientist, and experience in Deep Learning is preferred.
3. Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms, or related fields is preferred.
4. Proficient in using SQL + Python and experience with data manipulation and analysis libraries, experience with TensorFlow or PyTorch is preferred.
5. Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets.
6. Solid understanding of machine/deep learning concepts and techniques, including feature engineering, model evaluation, and optimization.
7. Strong analytical and problem-solving skills, with a demonstrated ability to handle and derive insights from complex and unstructured datasets.
8. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.
9. Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, and related conferences.
Culture and Diversity
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach.