Position: Data Scientist
Company: Fractal Analytics
Experience required: 3y
English level: upper

Responsibilities:

- Conceptualize, design and deliver solutions around a host of domains and problems, with some of them being: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Marketing Mix Optimization. 
- Conduct research, prototype models, gather data, scope and design architecture for solutions; consult clients and internal stakeholders on advanced statistical and ML problems. 
- Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. 

Required skills:

- 1.5+ years of relevant work experience 
- Strong level in at least one of Python/R. 
- Strong skills in data-structures and ML algorithms. 
- Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. 
- Good knowledge of probability theory, statistics, and algorithms.  
- Knowledge of at least few approaches like regression, tree-based learners, SVM, RF, XGBOOST, LightGBM, time series modeling, Bayesian methods, dimensionality reduction, clustering, Deep learning etc.  
- Ability to break the problem into small parts and applying relevant techniques to drive required outcomes. 
- Upper-Intermediate English.  

As a plus 

- Experience in technologies like deep learning, NLP, image processing, recommender systems 
- Experience of working in on one or more domains: CPG (marketing analytics, supply chain management), BFSI (cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection), Healthcare (medical adherence, medical risk profiling, EHR data, fraud-waste-abuse). 
- Good grasp on databases including RDBMS, NoSQL, MongoDB etc.  

Good to Have: 

- Experience in technologies like deep learning, NLP, image processing, recommender systems 
- Experience of working in on one or more domains: CPG (marketing analytics, supply chain management), BFSI (cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection), Healthcare (medical adherence, medical risk profiling, EHR data, fraud-waste-abuse). 
- Good grasp on databases including RDBMS, NoSQL, MongoDB etc.