Expert Data Scientist
Company Name:-
HP
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.
Frequently contributes to the development of new ideas and methods.
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Acts as an expert providing direction and guidance to process improvements and establishing policies.
Frequently represents the organization to external customers/clients.
Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives.
May provide mentoring and guidance to lower level employees.
Learn more about HP’s global Management levels.
What a Expert Data Scientist does in HP.
Responsibilities
Mines data using modern tools and programming languages
Apply advanced statistical and predictive modeling techniques to build, maintain, and improve decision systems
Develop innovative and effective approaches to solve analytics problems and communicate results and methodologies
Defines and implements models to uncover patterns and predictions creating business value and innovation
Ability to translate business needs to technical requirements, propose and validate solutions
Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives
Ties insights into effective visualizations communicating business value and innovation potential.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Contributes to industry data science domain initiatives
Represents the data science team for all phases of larger and more-complex development projects
Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
Drives the implementation of agreed improvement actions, initiatives, projects agreed with business and management
Executes and coordinate internal customer
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