Data Scientist

1 week ago

Bengaluru, India Hewlett Packard Enterprise Full time

Data Scientist

This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.

**_
Job Family Definition:_**

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.

Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights).

**_ Management Level Definition:_**

(Provides Predictive analytics capabilities to improve business outcomes. Provide Supply Chain domain specific analytics by leveraging techniques like ML/AI/ Statistics and simulation)

This is a new role to Regional Fulfillment organization residing in Bangalore, India. This role will be key in driving the organization through data-based recommendations/actions to achieve better results in all metrics related to Speed & Predictability Metrics, Aging, Material Allocation Optimization etc. The Data Scientist will be leveraging advanced analytics, technical, and business skills to drive innovative methodologies for signification business improvement

**_ Responsibilities:_**
- Defines and develops the value proposition for analytics solutions based on user needs, business value, industry requirements and understanding of advanced analytic models (statistical, operations research).
- Conceptualizes, builds, develops, and enhances analytic models using right modeling methodology, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business insights across the planning organization.
- Embeds analytic models into enhanced large scale business processes and operational systems by collaborating with Application Developers.
- Drive improvements in planning metrics such as Speed & Predictability Metrics, Aging, Material Allocation Optimization etc.
- Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models.
- Works closely with Regional Fulfillment business/data leads to provide key insights and align action plans to improve business results.
- Collaborate with stakeholders in Regional teams to ensure analysis of data considers WW alignment, ongoing business activities including HPE strategies, upstream initiatives etc.
- Provide ad hoc analytics support as needed
- Provide thought leadership on the design of visual management tools

**_ Education and Experience Required:_**
- Degree in Statistics, Operations Research, Data Science or equivalent preferred with atleast 6-8 years of relevant experience in data analytics

**_ Knowledge and Skills:_**
- Advanced knowledge of advanced data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
- Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
- Advanced understanding of analytics software (eg. R, SAS, SPSS, Python, RapidMiner).
- Advanced machine learning, data integration, and mathematical modeling skills and ETL tools
- Advanced communication and presentation skills.
- Strong interpersonal skills and effectiveness in working across geographical boundaries, ability to effectively communicate analysis results to customers and negotiate options at management levels
- Experience in processing and analyzing both structured and unstructured data
- Proven ability to leverage analytical skills and knowledge for business value
- Experience in working with Order Fulfillment, Production Management preferred
- Knowledge of big data processing framework and tools, such as Spark, Hadoop, MapReduce, etc. will be added advantage

**Job**:
Engineering
**Job Level**:
Specialist

**Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.**

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.

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