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Data Scientist 4
Hewlett Packard Enterprise
posted 28d ago
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Job Description
Data Scientist 4
Knowledge & Skills
Scope & Impact
Complexity
Education & Experience
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.
Description -
Job Summary
A career in the HP Print Software Platform team allows you the opportunity to create history and push the industry forward, redefining the state of the are Print Software Platform. It is an exciting time to be at HP as our services and solutions business are growing fast. The Print software organization has grown significantly, and we need to evolve the way we work to keep up.
A career in the HP Print Software Platform team allows you the opportunity to create history and push the industry forward, redefining the state of the are Print Software Platform. It is an exciting time to be at HP as our services and solutions business are growing fast. The Print software organization has grown significantly, and we need to evolve the way we work to keep up.
The Print software Platform Data Engineerng Expert will be responsible for designing, developing, and managing activities for the Print Data platform specifically around the Data lifecycle, Data Requirements & Definition, Data Quality, Data Storage and Retention keeping in mind availability, performance, privacy, security & cost. In addition the expert engineer will be responsible for supporting customer facing HP Product and solutions and their vast number of use cases. The engineering expert is r esponsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration. Expert exercises independent judgment within generally defined policies and practices to identify and select a solution, and has ability to handle most unique situations. Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data product pipelines, repositories, models for structured/unstructured data and makes data-driven decision and collaborates with cross-functional teams including Engineering, Architects, Product Managers to drive the data as a differentiator to Print/HP.
Responsibilities:
Responsibilities:
- Lead on the design for Data, focusing on scalability, performance, availability, cost and Data Quality.
- Collaborate with cross-functional teams to build a scalable, secure and reliable Print Data platform.
- Works closely with stakeholders to understand needs and priorities.
- Roadmap - own data platform roadmap and manages the backlog through constant prioritization. Manage product management requirements coming from various business units and cross functional teams.
- Translates stakeholder needs into product requirements and definitions.
- Collaborates with stakeholders to guide feature development and prioritization.
- Translates user requirements into executable and workable feature items with the software engineering team.
- Acts as an advocate for the stakeholders during specification and development stages.
- Manage product lifecycle of functionalities on the Print Software data platform
Knowledge & Skills
- Strong knowledge in DataBricks
- Strong in PySpark and Python
- Strong in SQL/MySQL, Relational data modelling
- Strong Notebooks environment experience (Jupyter, DataBricks)
- Fluent in complex, distributed and massively parallel cloud systems (AWS, GCP, AZURE)
- Strong software engineering background with OOPS concepts
- Experience with workflow orchestration tools (Airflow, Jenkins)
- Basics of AWS/Azure technologies
- Proficient in using Git & Tera Forms
- Experience collecting requirements from Partners and choosing the right technologies to meet end to end data flow requirements that are required.
- Data Engineering knowledge with ETL platforms understanding.
- Understanding of Print Data Formats would be an added advantage
- Strong technical knowledge of software platform systems, including enterprise, middleware, firmware, and embedded systems.
- Adept at collecting and analyzing input from multiple sources (internal customers, product managers, engineering, architecture, and management).
- Significant experience in software development, systems engineering, or software platfrom product management.
- Ability to understand and deal well with rapid development cycles and remain flexible in the face of uncertainty.
- Ability to not only communicate in software engineering specific jargon and non-technical language but also translate between the two.
Scope & Impact
- Decisions and actions typically impact multiple departments and may have downstream repercussions lasting multiple weeks.
- Advises various internal, partner, and customer teams on the needs and requirements of target markets.
- Works closely with architects and technology leads, directly engaging with internal and external software development teams.
Complexity
- Moderate: Some senior management interface; frequent cross-functional / cross-organizational interaction on execution of tactics.
- Applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project
- Leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution.
Education & Experience
- Bachelors degree in relevant area or demonstrated competence. Typically 8-12 years of relevant software product management experience.
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.
Employment Type: Full Time, Permanent
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What people at Hewlett Packard Enterprise are saying
Rating based on 10 Data Scientist
reviews
Anonymous · Data Science & Machine Learning
in Bangalore / Bengaluru
Likes
work culture is good overall
Dislikes
Growth is very less, less learning curve
Read 10 reviewsData Scientist salary at Hewlett Packard Enterprise
reported by
91
employees
with 2-11
years exp.
₹6.5
L/yr - ₹39.9
L/yr
60%
more
than the average Data Scientist Salary in India
View more details
What Hewlett Packard Enterprise employees are saying about work life
based on 3.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Hewlett Packard Enterprise Benefits
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