Senior Data Scientist - Online/eCommerce

Looking for Senior Data Scientist for Top & Starts up Ecommerce and Product development Firms.

Please find the Job Description below ;

Responsibilities:

- Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets.

- Be able to own, ideate, conceptualize and create products based on predictive/ prescriptive analytical frameworks that best factor the requirements from internal stakeholders and deliver impactful results in a highly automated fashion

- Design experiments to test the validity of hypotheses.

- Develop presentations to communicate to internal stakeholders and where needed to the marketing team.

- Collaborate with other analysts/data scientists and help guide the marketing acquisition/engagement strategy based on learning from other analyses/projects across the organization.

- Ability to mentor junior team members to help scale data science capability within the team

Requirements:

- Master's degree in a quantitative field (Math, Engineering, Economics, Sciences, Operations Research, etc.)Statistical background is a plus

- 5-7 years of professional experience ideally in marketing/consumer analytics

- Experience of working on end-to-end product development: problem scoping, data gathering, EDA, modeling, insights, and visualization

- Advanced knowledge of machine learning, probability theory, statistics, and algorithms

- Experience working in offshore analytics teams preferred

- Motivated, independent, organized, proactive, highly responsive, flexible and adaptable when working across multiple teams

- Strong communication and presentation skills

Analytical Skills:

- Should have a passion to turn data into meaningful insights that drive action

- Ability to deliver AIML based solutions around a host of problems, with some of them being: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization

- Passionate about producing high-quality analytics deliverables and communicating results to a broad audience.

- Working experience of classification and regression techniques like Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, LM, clustering etc.

Analytical toolset:

- Strong experience working with either R or Python

- Strong SQL skills; comfortable using various data access tools.

- Experience working with big data platforms such as Hadoop and Hive.

- Experience working with Excel and BI platforms such as Tableau or DOMO or any other visualization tool

- Experience with web analytics platforms such as Google Analytics, Adobe Analytics or others a plus

- Familiarity with multi-channel attribution platforms (Convertro, VisualIQ, Adometry or Adobe Data Workbench) a plus

- Familiarity with SEO analytics a plus.

- Experience in executing analytical projects in an agile environment is a Big Plus.

Satyajeet