Senior Data Scientist

HP; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

HP in Bengaluru, India, seeks a senior data science leader to advance data mining and modelling capabilities. The role drives standardization and cross-team learning by establishing processes across the data model development lifecycle, aiming to improve model accuracy and reliability.

You will guide a cross-functional team of data scientists and engineers, collaborate with business stakeholders, present insights, contribute to publications, and mentor junior staff while ensuring data compliance

Qualifications

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or related discipline.
• 10+ years of work experience in data analytics, statistical modeling, machine learning, or related field.

Responsibilities

• Leads organization wide team or teams of data science professionals in complex projects to mine data using modern tools and programming languages.
• Defines models to uncover patterns and predictions creating business value and innovation.
• Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Works with stakeholders to identify business problems and develop data-driven solutions.
• Prepares and presents literature, presentations, invention disclosures for peer review/publication in industry data science domain initiatives.
• Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Defines, communicates and drives data insights/innovation into the business.
• Leverages domain expertise and leadership to influence decisions of executive leadership and partners.
• Provides guidance, training and mentoring to less experienced staff.

Skills

Algorithms

Amazon Web Services

Apache Spark

Artificial Intelligence

Big Data

Data Analysis

Data Mining

Data Science

Data Visualization

Deep Learning

Machine Learning

Natural Language Processing

Predictive Modeling

Python

R

SQL

Statistical Modeling

Statistics

Tableau

Education

Bachelor's or higher in Mathematics/Statistics/CS/Data Science

10+ years experience in data analytics / related field

Tools

SQL

Python

R

Job description

This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle. The role drives excellence through continuous improvement in model accuracy and reliability.

Responsibilities

• Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
• Defines models to uncover patterns and predictions creating business value and innovation.
• Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
• Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
• Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Defines, communicates and drives data insights/innovation into the business.
• Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
• Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

Preferred Certifications

• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills

• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Big Data
• Computer Science
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Deep Learning
• Machine Learning
• Natural Language Processing
• Predictive Modeling
• Python (Programming Language)
• R (Programming Language)
• SQL (Programming Language)
• Statistical Modeling
• Statistics
• Tableau (Business Intelligence Software)

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity

• Provides highly innovative solutions to complex problems within established policy.

Disclaimer

• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job

Data & Information Technology

Schedule

Full time

Shift

No shift premium (India)

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. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"