Padmi

Data Science Senior Advisor

IndiaPosted 2 months ago
Data Science And StatisticsSeniorFull Time; Regular
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As a Data Science Senior Advisor at MMX, you will play a key role in contributing to business strategy and influencing decision-making based on deep dive analysis. You will interpret insights from complex data sets to produce actionable recommendations and design processes to generate new insights from unstructured data. Collaborating with business leaders, engineers, and industry experts, you will construct predictive models and algorithms to drive business outcomes. Key Responsibilities: - Gather and preprocess marketing data from various sources, ensuring data quality and consistency - Design and implement Bayesian Marketing Mix Models to estimate the impact of marketing channels on business KPIs - Develop priors and utilize hierarchical Bayesian frameworks to model data across different parameters - Create visualizations to present data findings in a clear and actionable manner - Collaborate with cross-functional teams to implement data-driven solutions - Maintain custom-built libraries and version control of artifacts using Github Qualifications Required: - Bachelors degree in data science, computer science, information technology, or a related field - Hands-on experience in building marketing mix models and understanding marketing performance measurement - Strong proficiency in Python, R tidyverse, and SQL - Familiarity with cloud platforms like GCP and Databricks - Experience with machine learning algorithms and their application in marketing - Excellent communication skills to convey complex data insights to non-technical stakeholders - Understanding of marketing operations and leveraging data for decision-making - Ability to think critically and solve complex problems with attention to detail Join MMX's Data Science team in Bangalore and leverage your expertise to drive meaningful insights from petabyte-scale data sets. Be part of a collaborative environment where you can make a real social impact while advancing your career in the tech industry with Dell Technologies. As a Data Science Senior Advisor at MMX, you will play a key role in contributing to business strategy and influencing decision-making based on deep dive analysis. You will interpret insights from complex data sets to produce actionable recommendations and design processes to generate new insights from unstructured data. Collaborating with business leaders, engineers, and industry experts, you will construct predictive models and algorithms to drive business outcomes. Key Responsibilities: - Gather and preprocess marketing data from various sources, ensuring data quality and consistency - Design and implement Bayesian Marketing Mix Models to estimate the impact of marketing channels on business KPIs - Develop priors and utilize hierarchical Bayesian frameworks to model data across different parameters - Create visualizations to present data findings in a clear and actionable manner - Collaborate with cross-functional teams to implement data-driven solutions - Maintain custom-built libraries and version control of artifacts using Github Qualifications Required: - Bachelors degree in data science, computer science, information technology, or a related field - Hands-on experience in building marketing mix models and understanding marketing performance measurement - Strong proficiency in Python, R tidyverse, and SQL - Familiarity with cloud platforms like GCP and Databricks - Experience with machine learning algorithms and their application in marketing - Excellent communication skills to convey complex data insights to non-technical stakeholders - Understanding of marketing operations and leveraging data for decision-making - Ability to think critically and solve complex problems with attention to detail Join MMX's Data Science team in Bangalore and leverage your expertise to drive meaningful insights from petabyte-scale data sets. Be part of a collaborative environment where you can make a real social impact while advancing your career in the tech industry with Dell Technologies.

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