The identified candidate in the role of a Data Scientist will support our client's product, sales, leadership, and marketing teams with insights gained from analysing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building, and implementing models, using / creating algorithms, and creating / running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.

The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles and Responsibilities :

Core :

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

- Assess the effectiveness and accuracy of new data sources and data gathering techniques.

- Develop custom data models and algorithms to apply to data sets.

- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Develop company A/B testing framework and test model quality.

- Coordinate with different functional teams to implement models and monitor outcomes.

- Develop processes and tools to monitor and analyze model performance and data accuracy.

- Work with the business teams to create and design campaigns for customer, review and create customer journeys based on the data assimilated.

Candidate Details :

Qualifications :

- BE / B.Tech

- 10-15 years of experience manipulating data sets and building statistical models, has a master's or PHD in Statistics, Mathematics, Computer Science, or another quantitative field will be an advantage.

- Strong problem-solving skills with an emphasis on product development.

- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

- Experience working with and creating data architectures.

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages / drawbacks.

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

- Excellent written and verbal communication skills for coordinating across teams.

- A drive to learn and master new technologies and techniques.

Familiar with the following software / tools :

- Coding knowledge and experience with several languages: C, C++, Java, HTML

- JavaScript, etc.

- Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

- Hands on Experience in coding, and using libraries for developing and querying databases and using statistical computer languages: R, Python, Django, Anaconda, Jupiter and other platforms using tools like Nymph, MATLAB and others SQL, etc.

- Experience using web services: Redshift, S3, Spark, Digital Ocean, etc.

- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, AdWords, Crimson Hexagon, Facebook Insights, etc.

- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.

- Experience visualizing / presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

- Data Scientist role is a hands-on role, Development Heavy.

- Must have prior experienced with Banking Clients, Financial Clients