Descrição da Vaga
Job Summary This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance.
The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation.
The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development.
Responsibilities - Leads data mining using modern tools and programming languages.
- Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
- Delivers predictive and prescriptive models of high complexity to surface insights;
drives action, defines success measures and tracks performance of models.
- Strategizes models to uncover patterns and predictions creating business value and innovation.
- Manages 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 development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
- Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
- Represents the data science team for all phases of larger and more-complex development projects.
- 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 6 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 - Computer Science - Data Analysis - Data Mining - Data Science - 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 function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity - Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Job - Software Data Scientist Description - Job Summary This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance.
The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation.
The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development.
Responsibilities - Leads data mining using modern tools and programming languages.
- Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
- Delivers predictive and prescriptive models of high complexity to surface insights;
drives action, defines success measures and tracks performance of models.
- Strategizes models to uncover patterns and predictions creating business value and innovation.
- Manages 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 development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
- Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
- Represents the data science team for all phases of larger and more-complex development projects.
- 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 6 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 function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity - Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Job - Software Schedule - Full time Shift - No shift premium (Brazil) Travel - 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’sEEO 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 You’re driven to make positive changes.
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