Data Scientist - MTA

5 - 8 years

20 - 30 Lacs

bengaluru karnataka india

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

data timeline marketing engineering learning engagement metrics efficiency planning model testing reliability automate scoring reporting documentation analytics python sql regression experimentation design analysis communication

Work Mode

On-site

Job Type

Full Time

Job Description

Location: Bangalore (3 days work from office)Type: Full-time(On-site)Experience Level: 5-8 yearsJoining Timeline: Immediate to 30 days

About The Role

We are looking for a skilled Data Scientist to lead our Multi-Touch Attribution (MTA) modelling efforts. This role will be instrumental in accurately measuring the impact of each marketing channel and touchpoint on user conversions and business outcomes. You will work closely with marketing, growth, and data engineering teams to develop attribution frameworks, enable budget optimisation, and enhance ROI measurement.

Key Responsibilities

  • Develop and implement algorithmic attribution models to quantify the impact of various marketing touchpoints.
  • Apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate online and offline signals.
  • Work with large-scale marketing datasets including impressions, clicks, conversions, and engagement metrics.
  • Partner with marketing teams to improve channel efficiency and campaign planning based on attribution insights.
  • Conduct model validations using holdout experiments and out-of-sample testing to ensure reliability.
  • Automate model scoring and reporting pipelines to provide real-time attribution visibility.
  • Create intuitive dashboards and documentation to communicate findings and influence strategic decisions.

Must-Have Qualifications

  • 3-6 years of experience in data science, marketing analytics, or attribution modelling.
  • Strong hands-on experience with Python, SQL, and relevant data science libraries.
  • In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay.
  • Solid understanding of digital marketing channels and customer journey analytics.
  • Experience with model validation, experimentation design, and lift analysis.
  • Strong problem-solving and communication skills with a product mindset.
Skills: mix market modelling,data science,multi touch attribution,markov chains,mta,python

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