Data Scientist-finance - Bengaluru, Karnataka, India - Hewlett Packard

Hewlett Packard
Hewlett Packard
Verified Company
Bengaluru, Karnataka, India

1 month ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
Description

Position Overview


In support of HP's mission to drive a more digitally enabled workplace, we are seeking an individual for the role of "Data Scientist" to be part of our Digital Solutions team with in Finance.

With the objective of accelerating HP's journey with cognitive automation and data analytics at scale, this role will be responsible for creating solutions by leveraging analytics to build business insights, that can drive business outcomes, automation and technologies like AI & ML technologies.


_ What you would be doing:_

  • Work with stakeholders across HP Finance 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.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop 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.

_ What you will bring:
_

_ Education and Experience:
_

  • Degree OR master in Master's in Statistics, Mathematics, Computer Science or another quantitative field,
  • 7+ years of work experience in Data analytics, automation technologies Machine learning, Forecasting, Statistical modeling, Data mining, Data Engineering, Data Analytics, Data Visualization, Reporting and Analytics, Manipulating data sets and building statistical models, Business intelligence, metrics interpreting, and Strong problem solving skills.
  • 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 realworld advantages/drawbacks.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Should be familiar with the following software/tools:
  • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
  • 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 using web services: Redshift, S3, Spark, DigitalOcean, 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.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
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