Data Scientist

Bahwan CyberTek; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Bahwan CyberTek is seeking a Senior Data Scientist - Marketing Analytics to turn data into actionable business insights. You will build and deploy advanced ML models, drive marketing measurement through attribution and MMM, and collaborate with cross-functional teams.

The role requires 10-12 years of experience, strong Python and SQL, and hands-on analytics across cloud platforms like AWS, Azure, or GCP.

Qualifications

• 10-12 years of experience in Data Science, Analytics, Marketing Analytics, or a related field.
• Strong proficiency in Python and SQL.

Responsibilities

• Build and deploy advanced machine learning models to solve business challenges.
• Drive marketing measurement initiatives using attribution, MMM, and experimentation frameworks.
• Analyze large-scale data to uncover actionable insights and optimize business performance.
• Collaborate with cross-functional teams to translate data into strategic decisions.
• Leverage cloud and big data technologies to scale analytics solutions.

Skills

Python

SQL

Statistical Analysis

Predictive Modeling

Marketing Attribution

MMM

Customer Journey Analytics

Causal Inference

Experimentation

Incrementality

Cloud Platforms

PySpark

Databricks

Snowflake

BigQuery

Tableau

Power BI

Looker

GA4

Google Ads

Meta Ads

DV360

MLOps

Tools

PySpark

Databricks

Snowflake

BigQuery

Tableau

Power BI

Looker

GA4

Google Ads

Meta Ads

DV360

MLOps

AWS

Azure

GCP

Job description

Senior Data Scientist - Marketing Analytics

Are you passionate about turning data into actionable business insights? We're looking for an experienced Senior Data Scientist to join our team and drive advanced analytics, marketing measurement, and machine learning initiatives.

• 10-12 years of experience in Data Science, Analytics, Marketing Analytics, or a related field.
• Strong proficiency in Python and SQL.

Hands-on experience in:

• Statistical Analysis
• Predictive Modeling

• Marketing Attribution, Marketing Mix Modeling (MMM), or Customer Journey Analytics
• Causal Inference, Experimentation, and Incrementality Measurement
• Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP)
• PySpark, Databricks, Snowflake, or BigQuery
• Tableau, Power BI, or Looker
• Google Analytics 4 (GA4), Google Ads, Meta Ads, or DV360
• MLOps tools and model deployment best practices

What You'll Do

• Build and deploy advanced machine learning models to solve business challenges.
• Drive marketing measurement initiatives using attribution, MMM, and experimentation frameworks.
• Analyze large-scale data to uncover actionable insights and optimize business performance.
• Collaborate with cross-functional teams to translate data into strategic decisions.
• Leverage cloud and big data technologies to scale analytics solutions.