Manager - Data Science
3 weeks ago
Hiring is for AdTech/MarTech Co. It aFrench conglomerate a MNC. Looking for prople who have good exp in suilding solutions/ algorithm in CPG/Retail/ e- commerce domain.
Primary - PySpark/ Python, SQL, ML
The Manager, Data Science is responsible for delivery from multiple client accounts by working with Data Scientists and managing analytic initiatives from conception to completion, providing clients and key stakeholders actionable results and insights that help them achieve their business objectives
Roles & as project lead on most types of analyses performed by the group - develop project plans and manage work efforts of supporting team membersAssess client business and marketing challenges, as well as data assets, and recommend the most appropriate analytic methodology to meet client goalsPresent analytic findings and statistical results to account teams and clientsParticipate in project design, planning and execution, and provide pre-sales support and run proof of concept (POC) for account / sales teamsDesign and Implement Machine learning models using Spark ML and Python/PysparkOwn end to end implementations of Marketing machine learning models such as Customer Segmentation, Propensity models, CLTV etc.Create engaging and meaningful data visualizations / power point presentations of findings linked to clear client business manage, mentor and train a team of 10+ Data Scientists to implement the organizations vision and the roadmap with the help of the team membersProvide thought leadership to improve existing processes and incorporate new processes to help team deliver exceptional analytical solutionsEnsure that your team is engaged and motivated to excel in their roles and are being productively utilized on billable degree, or higher, in a quantitative discipline (e.g., Engineering, Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework.Minimum 10+ years of experience in analytics and data science; marketing analytics experience preferredMust have experience managing a team of people including their goal / outcome setting, performance management and feedback communicationStrong experience with Python, SQL and Microsoft office packagesMust have hands-on experience with machine learning and statistical techniques like Logistic regression, Decision trees, Random Forest, K-means clustering etc.Experience in distributed computing using PySpark, comfort with DataBricks and experience in machine learning with Spark / MLlibStrong analytic thought process and ability to interpret findingsAcute attention to detail (QA/QC)Excellent verbal and written communication skills and good at developing relationships across cross-functional teams
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