Tech Stack

Description

You will apply machine learning, NLP, and modern AI frameworks to create scalable, intelligent customer solutions. You'll lead project delivery, partner with engineering to deploy solutions, and mentor junior data scientists while ensuring code quality and automation.

Requirements

• Bachelor's degree in mathematics, statistics, computer science, economics, or a related quantitative discipline.
• 2+ years of experience in retail, ad technology, digital media, and/or advertising analytics.
• 2+ years of experience in extracting insights from large databases, translating data into actionable solutions and presenting findings and recommendations to clients.
• Strong Python and SQL skills with 2+ years of experience developing technical analytics solutions using advanced algorithms and programming languages.
• Experience with big data and cloud technologies (e.g., Azure, Spark, Databricks, or similar technologies).
• Experience with data wrangling, data cleaning, and building computationally efficient solutions.
• Data visualization skills and ability to present technical solutions to non-technical audiences.
• Strong analytical, creative problem-solving, and decision-making skills.
• Strong interpersonal and communication skills with the ability to work collaboratively across teams.
• Natural curiosity that embraces change, with a willingness to experiment and learn from failure.
• Excellent attention to detail and organizational skills.
• Preferred: Experience with NLP and LLMs (e.g., OpenAI function calling, LangChain, Hugging Face), semantic search embeddings (e.g., Sentence-BERT, vector databases), optimization recommender systems, and feedback loop design.

Responsibilities

• Lead project delivery and stakeholder management to ensure sound knowledge of client objectives and customer insight, designing best-in-class solutions delivered on time, within budget, and to specification.
• Partner with software engineering, product, and design to scale and deploy data science solutions, including designing API contracts and UI flows that surface AI-driven recommendations and insights to end-users.
• Interpret results and develop actionable recommendations from data analysis to build relevant customer stories for clients.
• Ensure quality, scalability, and automation of code, pipelines, and packages, including code optimization and removing manual processes.
• Identify gaps and opportunities within existing science, measurement, and data solutions to enhance media planning, optimization, and reporting offerings.
• Guide and mentor junior data scientists in establishing standard processes, driving efficiencies, and championing best practices and knowledge sharing across the data science community.
• Drive machine learning and AI solutions into our products, thinking creatively to bring the most value to the user, and collaborating with research teams to vet advanced science techniques within the ads business.