Data Science Finance Analyst 1

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Data Science Finance Analyst 1

Description -

Job Summary
• This role is responsible for conducting advanced analytics within Finance business to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data.

Responsibilities

Leverage Data Science and Digital Skills along with Finance Business Context to build innovative and intuitive solutions for business problems.
• Works with the team to mine data using modern tools and programming languages.
• Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems.
• Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
• Supports the implementation of models to uncover patterns and predictions creating business value and innovation.
• Works with the team to create stories with the data using visualization tools/methods.
• Assures accuracy, integrity, and compliance of cleansed data.
• Works with project team to understand problem statements, initiatives and directions from business.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.

Education & Experience Recommended
• BE/MTech/Bachelor's or Masters in Mathematics/Statistics
• Typically has 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling.


Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

 

Job -

Finance

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

Not Specified

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Big Data Data Analytics Data Mining Econometrics Engineering Finance Machine Learning Mathematics Predictive modeling Statistical modeling Statistics Testing Unstructured data

Region: Asia/Pacific
Country: India

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