
Lead Data Strategist
13 hours ago
Seeking a seasoned data strategist to drive media optimization and marketing effectiveness with expertise in media analytics.
- Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.
- Solve complex media optimization problems and conduct A/B testing to evaluate proposed solutions.
- Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to drive recommendations that are clearly linked to the organization's strategy and OKRs, and drive performance improvement.
- Support the domain leads and business teams to solve complex analytical challenges.
- Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions, including DL, ML, NLP, optimization, etc.
- Research and promote the latest technologies, design patterns, and best practice delivery models that drive optimal business value and ensure continuous improvement of the team, processes, and platforms.
Required Skills & Experience:
- 7–8 years of experience in Data Science/Analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.
- A minimum of a bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative methods and solutions. An advanced degree in a similar field is preferred.
- Experience in developing and implementing advanced analytics models such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.
- Familiarity with large language models (LLMs) and generative AI is highly desirable.
- Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.
- Proven experience with Databricks platform, Snowflake, and Azure cloud services.
- Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.
- Experience with BI tools such as Power BI, DOMO, and Tableau.
- Strong understanding of machine learning algorithms, data structures, and software design principles.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication and interpersonal skills with the ability to collaborate and partner across diverse global multi-functional teams.
Desired Qualifications:
- Experience with classification models, time series forecasting, customer lifetime value models, large language models (LLMs), and generative AI.
- Preferably from the Retail, eCommerce, or CPG industry
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