Innova Solutions - Lead/Principal Data Scientist - Investment Banking Domain

Lead/Principal - Data Scientist - Investment Banking Domain

Job Title : Lead/ Principal-Data Scientist.

Experience : 10-15 Years

Skill Set : Data Science, Predictive Modelling,ML,

Summary:

- Come work as a Senior - Data Scientist at growing company that offers great benefits with opportunities to advance and learn alongside accomplished leaders, For Leading Global investment firm in collaboration with technology services company Innova Solutions 

- Innova Solutions is a global information technology company combining a global reach with a local touch. Headquartered in Santa Clara, California, Innova employs more than 1,800 technology professionals worldwide, with field offices in New York, Chennai, Bangalore, Hyderabad, Pune, and Taipei.

- From Cloud Transformation to Data Services to Managed IT Operations, Innova provides a broad array of proven, tested, cost effective and enterprise scale technologies and services that leverage latest technology and delivery models to deliver high value in the cloud, in the data centre, and across complex inter connected environments .

Position Overview :

- Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges. Data scientists commonly have a bachelor's degree in statistics, math, computer science, or economics.

- Data scientists have a wide range of technical competencies including statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.

What are we looking for?

- We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.

- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization 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.

Responsibilities for Data Scientist :

- 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.

Qualifications for Data Scientist :

- Should have 5 + Years relevant experience in Data Science.

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

- Experience using statistical computer languages (R, Python, SLQ, 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.)

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

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

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

- Experience querying databases and using statistical computer languages - R, Python, SLQ, etc.

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

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