What you'll do: Build and optimize end-to-end ML models for retrieval, ranking, and personalization, and serve them in search and recommendation engines with millisecond-level latency. Collaborate with Data, Engineering, and Product stakeholders to…
What they ask for: Hands-on experience designing, training, and deploying ML models in production, ideally within search or recommendation systems. Strong collaboration skills and ability to translate business problems into ML objectives, plus experience…
What you'll do: Own problems end-to-end: frame the question with stakeholders, build the model or experiment, ship it, and follow it into production. Stay accountable for models after launch, monitoring drift and retraining as needed.
What they ask for: Strong applied experience in causal inference and building production-ready models; fluent in Python and SQL; experience with Snowflake, dbt, Airflow and Looker; track record of models that have influenced decisions; excellent…
What you'll do: Design, develop, and deploy scalable, production-ready Generative AI solutions using LLMs and modern AI technologies. Collaborate with cross-functional teams to translate business challenges into practical AI applications while…
What they ask for: Requires at least 4 years of experience in Data Science or AI engineering with strong Python programming skills. Candidates must have hands-on experience with LLMs, cloud platforms, and the full AI development lifecycle.
What you'll do: Collaborate with performance marketing teams to optimize campaigns and budgets using advanced data solutions like Marketing Mix Modeling and incrementality testing. Design and deploy machine learning models to improve targeting, bidding…
What they ask for: Requires extensive experience as a Data Scientist in a B2C performance marketing environment with strong proficiency in SQL and Python. Candidates should have a pragmatic problem-solving mindset and experience with experimentation, causal…
What you'll do: You will own and evolve the machine learning and AI pipelines for the company's data product suite, including classical ML/NLP and modern LLM components. You will collaborate with data engineers to transition solutions from proof of…
What they ask for: Candidates must hold a bachelor's or master's degree in a quantitative field and possess at least 5 years of experience as a Data Scientist. Practical experience in bringing LLMs into production, along with proficiency in Python, Spark…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and strong proficiency in Python, machine learning, and statistical methods. A degree in Mathematics, Computer Science, or a related field is required, along with…
