DENTSU - Senior Manager - Data Science/Data Modelling & Analytics

Description: As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions.This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization.Job Description:Key Technical Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems.- Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models.- Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization.- Collaborate with IT and data engineering teams to integrate analytics solutions into production environments.- Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement.Team Leadership & Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment.- Provide guidance on career development, performance evaluations, and skill enhancement.- Promote continuous learning and adoption of best practices in data science methodologies.- Engage and manage a hierarchical team while fostering a culture of collaboration.Strategic Planning & Collaborate with senior leadership to define the data science strategy aligned with business objectives.- Identify and prioritize high-impact analytics projects that drive business value.- Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints.Client Engagement & Stakeholder Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions.- Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner.- Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration.- Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives.- Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics.- Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals.Cross-Functional Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes.- Translate complex data insights into actionable recommendations for non-technical stakeholders.- Facilitate workshops and presentations to promote data driven conversations across the organization.- Closely working with support functions to provide timely updates to leadership on operational metrics.Governance & Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA).- Implement best practices for data quality, security, and ethical use of analytics.- Stay informed about industry trends and regulatory changes impacting data Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity.- Proven track record of managing and delivering complex analytics projects.- Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data.- Experience with media data will be advantageous.Technical Skills:- Proficiency in programming languages like Python, R, or SQL.- Experience with data visualization tools (e.g., Tableau, Power BI).- Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure).- Knowledge of machine learning frameworks and libraries.Soft Skills:- Strong analytical and problem-solving abilities.- Excellent communication and interpersonal skills.- Ability to influence and drive change within the organization.- Strategic thinker with a focus on delivering business outcomes.Desirable Attributes:Proficient in the following advanced analytics techniques (Should have proficiency in most).- Descriptive Analytics: Statistical analysis, data visualization.- Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling.- Prescriptive Analytics: Optimization, simulation modelling.- Text Analytics: Natural Language Processing (NLP), sentiment analysis.Extensive knowledge of machine learning techniques, including (Should have proficiency in most).- Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others.- Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others.- Reinforcement Learning: Q-learning, deep Q-networks, etc.Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents (Good to Have).- Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives.- Hyper parameter tuning.- Prompt Engineering.- Embedding & Vectorization.- Fine tuning.- Proficiency in data visualization tools such as Tableau or Power BI (Good to Have).- Strong skills in data management, structuring, and harmonization to support analytical needs (Must have).Location : Bengaluru (ref:iimjobs.com)