Data Scientist - Statistical Modeling

About the Role : We are looking for a highly motivated Data Scientist with 57 years of experience in Data Science, Machine Learning, and Media Optimization to build analytical solutions that improve media effectiveness and business performance.The ideal candidate should possess strong technical expertise in Machine Learning, statistical modeling, cloud-based analytics platforms, and media performance analytics. This role requires an individual who can not only develop robust data science solutions but also effectively communicate insights and recommendations to business stakeholders through compelling visualizations and presentations.Key Responsibilities : - Build, deploy, and optimize Machine Learning and Data Science models for media and marketing performance improvement.- Analyze media, campaign, customer, and marketing datasets to identify patterns, trends, and optimization opportunities.- Develop predictive, descriptive, and prescriptive analytics solutions to drive business outcomes.- Measure and optimize campaign effectiveness, media spend, and ROI.- Develop scalable data solutions using cloud-based platforms and modern analytics tools.- Create impactful dashboards, reports, and visualizations to communicate insights to stakeholders.- Present analytical findings and recommendations to business and leadership teams.- Collaborate with cross-functional teams including Marketing, Media, Product, Engineering, and Business stakeholders.- Maintain code quality and documentation using version control best practices.Mandatory Skills & Experience : 1. Data Science & Machine Learning : - Strong background in Data Science, Machine Learning, and Advanced Analytics.- Experience in developing predictive and statistical models.- Strong understanding of : 1. Regression & Classification, 2. Clustering, 3. Forecasting, 4. Optimization Techniques, 5. Model Evaluation & Validation.2. Programming Skills : - Strong proficiency in : 1. Python, 2. R, 3. SQL.- Hands-on experience with Jupyter Notebook/Lab.3. Media & Marketing Analytics : - Experience in Media Optimization and understanding of media performance metrics.- Ability to analyze campaign and media data and provide actionable recommendations.- Experience working with marketing, advertising, or media analytics datasets.4. Cloud & Data Platforms : - Hands-on experience with one or more of the following : 1. AWS (S3, Redshift, SageMaker), 2. Google Cloud Platform (GCP), 3. Databricks, 4. Snowflake, 5. Microsoft Azure.5. Data Visualization : - Experience creating business-facing dashboards and visualizations using : 1. Domo2. Tableau3. Power BI.- Must have the ability to create effective visuals and data stories to communicate insights clearly to stakeholders.6. Version Control & Collaboration : - Experience with : 1. GitHub, 2. GitLab, 3. Bitbucket.7. Communication Skills : - Strong verbal and written communication skills.- Ability to explain complex analytical solutions to non-technical stakeholders.- Experience engaging with business teams and presenting recommendations to leadership.Preferred Qualifications : - Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.- Experience working in Marketing Analytics, Media Analytics, Advertising Analytics, or Digital Marketing environments.Additional Advantage : - Exposure to Generative AI (GenAI) concepts, tools, and projects.- Experience with LLMs, Prompt Engineering, RAG, AI Agents, or related GenAI technologies.- Interest in contributing to future AI and GenAI initiatives. (ref:hirist.tech)