Senior Specialist - Architecture

Senior Specialist - Architecture

JD Job Description Data Scientist

Job Overview

We are looking for an experienced Data Scientist to design and develop datadriven solutions that help the business improve customer understanding marketing effectiveness trend identification and decisionmaking The ideal candidate will combine strong data science and machine learning expertise with a good understanding of ecommerce marketing analytics customer behavior and business decision automation

Focus Role Areas

The Data Scientist will primarily focus on the following areas

1 Product Segmentation

Develop datadriven approaches to segment products based on customer behavior sales patterns product attributes profitability and market performance

Build clustering and classification models to identify meaningful product segments

Identify product affinities crosssellupsell opportunities and product lifecycle patterns

Develop segmentation strategies that support pricing promotions merchandising and portfolio decisions

2 Marketing Performance Attribution

Develop attribution models to measure the effectiveness and ROI of different marketing and publicity activities

Analyze marketing performance across ecommerce platforms digital channels traditional marketing advertising and publicity campaigns

Identify the contribution of individual marketing channels campaigns and touchpoints to customer acquisition conversion and revenue

Build multitouch attribution and incrementality models where appropriate

Provide insights to optimize marketing spend and improve campaign effectiveness

3 Trend Detection

Develop statistical and machine learning models to identify emerging trends anomalies and changes in customer and product behavior

Analyze sales customer market and marketing data to identify early indicators of emerging opportunities or risks

Build forecasting and timeseries models to predict demand sales customer behavior and market trends

Develop automated s and monitoring mechanisms for significant changes in business metrics

4 Decision Automation

Develop predictive and prescriptive analytics solutions that enable automated or semiautomated business decisions

Identify business processes where datadriven decisions can replace or augment manual decisionmaking

Develop recommendation optimization and rulesMLbased decision engines

Collaborate with business stakeholders to define decision criteria expected outcomes and measurable KPIs

Productionize models and integrate them into business applications and workflows

Key Responsibilities

Analyze large and complex datasets to identify trends patterns relationships and actionable insights

Develop train validate and optimize machine learning and statistical models

Perform exploratory data analysis feature engineering data preprocessing and model evaluation

Develop predictive classification clustering recommendation forecasting attribution and optimization models

Translate complex business problems into analytical and machine learning solutions

Collaborate with business marketing product data engineering and technology teams

Deploy and monitor machine learning models in production environments

Communicate analytical findings and recommendations effectively to both technical and nontechnical stakeholders

Establish appropriate model performance metrics and continuously improve models based on business outcomes

Ensure data quality model accuracy scalability explainability and responsible use of AIML solutions

Required Skills Experience

10 years of experience in Data Science Machine Learning Marketing Analytics or a related field

Strong programming skills in Python with experience using Pandas NumPy Scikitlearn TensorFlow or PyTorch

Strong understanding of statistics probability machine learning and model evaluation

Experience with customerproduct segmentation marketing analytics attribution modeling trend detection forecasting or decision automation

Strong SQL skills and experience working with large datasets

Experience with supervised and unsupervised learning techniques including regression classification clustering and timeseries modeling

Experience with data visualization and analytical tools such as Power BI Tableau or Python visualization libraries

Experience with at least one major cloud platform such as AWS Azure or Google Cloud

Understanding of ML deployment APIs MLOps and model lifecycle management

Strong analytical problemsolving and communication skills

Preferred Skills

Experience in ecommerce retail consumer products marketing or digital analytics

Experience with marketing attribution and measurement frameworks

Knowledge of customer journey analytics and multitouch attribution

Experience with recommendation systems and personalization

Experience with Generative AI LLMs NLP