Data Scientist Finance
Year Bengaluru, Karnataka, India
Job Description
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Position Overview In support of HPs 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 HPs 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. Scope & Impact: The candidate should be 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. The candidate 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. 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.
- 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 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.
- Degree OR master in Masters 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 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.
- 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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Job Detail
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Job IdJD3340803
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationBengaluru, Karnataka, India
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EducationNot mentioned
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ExperienceYear