Advanced Data Analyst

2 days ago

Belgaum, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Senior Data Scientist Job Description

Job Overview

We are seeking a seasoned data expert to spearhead media use cases with expertise in Media Analytics and drive marketing measurement and optimization.

The ideal candidate will deliver actionable insights, evaluate marketing effectiveness, and drive data-backed recommendations to optimize media investments.

Key Responsibilities:
  • 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.
  • 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.
Required Skills & Qualifications

To excel in this role, you should possess the following skills and qualifications:

  • 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.
  • 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.

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