Data Scientist Multi-Touch Attribution (MTA) Careerfit.ai

3.0 - 7.0 years

0 Lacs

maharashtra

On-site

As a Data Scientist specializing in Multi-Touch Attribution (MTA) based in Bangalore (with 3 days of office work), you will play a crucial role in leading our MTA modeling efforts. Your primary responsibility will be to accurately measure the impact of various marketing channels and touchpoints on user conversions and business outcomes. This will involve collaborating closely with marketing, growth, and data engineering teams to develop attribution frameworks, optimize budgets, and enhance ROI measurement. Your key responsibilities will include developing and implementing algorithmic attribution models to quantify the impact of different marketing touchpoints. You will apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate both online and offline signals. Working with large-scale marketing datasets, you will analyze impressions, clicks, conversions, and engagement metrics. Additionally, you will partner with marketing teams to enhance channel efficiency and campaign planning based on attribution insights. Model validations using holdout experiments and out-of-sample testing will be conducted to ensure reliability. You will also automate model scoring and reporting pipelines to provide real-time attribution visibility. Creating intuitive dashboards and documentation to effectively communicate findings and influence strategic decisions will be part of your role. The qualifications required for this role include a minimum of 3 years of experience in data science, marketing analytics, or attribution modeling. Strong hands-on experience with Python, SQL, and relevant data science libraries is essential. In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay is preferred. A solid understanding of digital marketing channels and customer journey analytics is necessary. Experience with model validation, experimentation design, and lift analysis is a plus. Strong problem-solving and communication skills, combined with a product mindset, are crucial for success in this role.,

Posted 3 weeks ago

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Data Scientist CareerFit.ai

3.0 - 6.0 years

20 - 30 Lacs

Bengaluru

Work from Office

Job Title: Data Scientist Location: Bangalore Type: Full-time (On-site) Experience: 3-6 years About the Role: We are looking for a skilled Data Scientist to lead our marketing analytics and customer journey modelling initiatives. This role will be pivotal in measuring the effectiveness of marketing campaigns, understanding user behaviour across touchpoints, and delivering insights to improve business outcomes. You will collaborate closely with marketing, growth, and data engineering teams to develop data-driven frameworks, enhance channel performance, and support strategic decision-making. Key Responsibilities: Develop and implement advanced analytical models to assess the effectiveness of various marketing channels and campaigns. Apply statistical, probabilistic, and machine learning methods to model user behaviour and conversion patterns. Work with large-scale marketing datasets, including impressions, clicks, conversions, and engagement metrics. Collaborate with marketing teams to optimize channel efficiency, campaign targeting, and user segmentation. Design and execute controlled experiments and A/B tests to validate model outputs and strategic initiatives. Automate data pipelines and model outputs to deliver real-time performance tracking and insights. Create intuitive dashboards, visualizations, and documentation to communicate insights and support business stakeholders. Qualifications: 3-6 years of experience in data science, marketing analytics, or customer journey analysis. Proficiency in Python, SQL, and commonly used data science libraries (e.g., pandas, NumPy, scikit-learn). Strong understanding of statistical modelling techniques such as logistic regression, time series analysis, and survival models. Experience with machine learning approaches for classification, segmentation, and recommendation. Solid grasp of digital marketing ecosystems and user engagement metrics. Hands-on experience with experimentation design, A/B testing, and lift analysis. Excellent problem-solving and communication skills with a strong product and data-driven mindset.

Posted 1 month ago

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