Senior Data Analyst

2 weeks ago

Kanpur, Uttar Pradesh, India beBeeDataScientist Full time ₹ 2,20,00,000 - ₹ 3,00,00,000
Job Overview

We are seeking a Senior Data Scientist to join our team and contribute to the development of advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.

The successful candidate will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimize media investments.

  • Key Responsibilities:
  1. Data Science Expertise: Develop and implement advanced analytics models using machine learning algorithms to drive business growth and improvement.
  2. Media Optimization: Solve complex media optimization problems and conduct A/B testing to evaluate proposed solutions.
  3. Stakeholder Collaboration: Partner with domain leads and business stakeholders to clearly understand business requirements and design analytical solutions that drive recommendations linked to the organization's strategy and OKRs.
Requirements
  • Experience: 7–8 years of experience in Data Science/Analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.
  • Education: 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.
Desired Qualifications
  • Classification Models: Experience with classification models, time series forecasting, customer lifetime value models, large language models (LLMs), and generative AI.
Technical Skills
  • Languages: 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.
  • Platforms: Proven experience with Databricks platform, Snowflake, and Azure cloud services.
  • MLOps: Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.
  • BI Tools: Experience with BI tools such as Power BI, DOMO, and Tableau.

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