Job Search

Home > Job Search

Data Scientist

Posted on:


Closing on:


Contact email:

Brief description :

Roles and Responsibilities  

1. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer products. 
2. Build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. 
3. Understand the business reality behind large sets of data and develop meaningful analytic solutions. 
4. Innovate by adapting to new modeling techniques and procedures. 
5. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters 
6. Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support 
7. Define problems and opportunities in a complex or ambiguous area. 
8. Partner with Product, Engineering, and Business teams to solve problems and identify new levers to improve user experience. 
9. Monitoring key product metrics, understanding root causes of changes in metrics. 
10. Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams. 
11. Assist the management team with the development of expansion strategies including product offerings and regional market analysis 

Preferred skills

Desired Profile 

1. 5+ years’ experience solving analytical problems using quantitative approaches. Experience in SQL or other programming languages. 

2. Advanced degree in Computer Science, Engineering, Math/Statistics, Physics, Economics, or equivalent practical experience. 

3. Multiple years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. 

4. Experience in python and tableau will be an added advantage 

Must-Have Skills 

  • Understanding of statistics (e.g., hypothesis testing, regressions, ML systems). 

  • Practical understanding and hands-on experience with regression modelling (linear and logistic) 

  • Experience communicating the results of analyses with product and leadership teams to influence strategy. 

  • Direct experience with both supervised learning methods (linear and logistic regression, time-series modelling, generalized linear models, decision trees, random forests, support vector machines, etc.) and unsupervised learning methods (K-means, hierarchical clustering, association rules, principal components). 

  • Direct experience analyzing A/B experiments 

  • Proven ability to convey rigorous technical concepts and considerations to non-experts 

  • The ability to drive impact and be a true partner to the business, working closely with top-level managers 

  • Should have good understanding of Modeling techniques and methods 

  • Should have excellent analytical and presentation skills 

  • Excellent written and verbal communication, including technical writing skills