Associate Data Scientist

Job Title: Associate Data Scientist

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Job Summary:

We are looking for an Associate Data Scientist with strong experience in applied analytics and statistical modeling, preferably in consulting or marketing analytics environments. The role involves owning end-to-end analytics engagements, building predictive models, and translating complex data into actionable business insights for senior stakeholders.

Key Responsibilities:

• Lead end-to-end analytics projects from problem definition to insights and recommendations.
• Work closely with client stakeholders to understand business objectives and define analytical approaches.
• Build and validate models such as Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), forecasting, segmentation, and response/scoring models.
• Perform data preparation, feature engineering, model evaluation, and documentation using real-world datasets.
• Balance model accuracy, interpretability, and scalability based on business needs.
• Present insights and methodologies to non-technical and senior audiences.
• Collaborate with data engineering teams for model deployment and monitoring.
• Mentor junior analysts and contribute to reusable analytics frameworks and best practices.

Required Skills:

• 4 - 6 years of experience in applied data science, analytics, or modeling roles.
• Hands-on experience with MMM and/or MTA.
• Strong foundation in machine learning, statistics, and applied mathematics.
• Proficiency in Python and/or R (scikit-learn, XGBoost).
• Experience in forecasting, segmentation, and response/scoring models.
• Strong communication and stakeholder management skills.

Good to Have:

• Exposure to Bayesian modeling, causal inference, or optimization techniques.
• Familiarity with NLP, LLM-based applications, or applied AI use cases.
• Experience with AWS or production ML workflows.
• Knowledge of digital marketing analytics (paid media, SEO, search).

Qualifications:

• Masters or PhD in Computer Science, Statistics, Data Science, Economics, Engineering, or related fields.
• Proven experience delivering models into production or business decision workflows.
• Client-facing or consulting experience preferred.

Tech Stack:

• Programming:

  Python, R

• ML Libraries:

  scikit-learn, XGBoost

• Modeling:

  MMM, MTA, Forecasting, Segmentation, Scoring Models

• Data:

  Large-scale, real-world datasets

• Platforms:

  AWS (preferred), production ML pipelines