Data Scientist III This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work We help companies connect protect analyze and act on their data and applications wherever they live from edge to cloud so they can turn insights into outcomes at the speed required to thrive in today s complex world Our culture thrives on finding new and better ways to accelerate what s next We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves together and are a force for good If you are looking to stretch and grow your career our culture will embrace you Open up opportunities with HPE 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 Embeds analytics into client s business processes and applications Combines business acumen and scientific methods to solve business problems Management Level Definition Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary Might act as project lead and provide assistance to lower level professionals Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives What you ll do Responsibilities Formulates and defines analytics solution objectives and technical requirements based on user needs an understanding of business processes industry requirements and advanced analytic models statistical operations research computing process Conceptualizes builds develops and enhances a client s analytic model Selects the relevant analytic modeling methodology for the use case available structured and unstructured data cost and timing constraints to solve the business issue and deliver clear business focused insights Embeds analytic models in an enhanced business process of operational system by collaborating with Application Developers Responsible for measuring business performance based on the model As a fully functioning analytics team member applies best practices to analytics solutions and contributes to the development of improved best practices Leads the model enhancements Summarizes complex ideas by developing visual models to display insights to simplify user experience Communicate the analytics solution to the appropriate stakeholders What you need to bring Education and Experience Required PhD degree in Statistics Operations Research Computer Science or equivalent preferred Or Masters Degree in these areas and at least 2-3 years of relevant experience 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 Advanced understanding of analytics deployment architectures Advanced machine learning data integration and mathematical modeling skills and ETL tools eg Informatica Ab Initio Talend Advanced communication and presentation skills Strong interpersonal skills and effectiveness in working across geographical boundaries Working knowledge of programming languages such as Python SQL R SAS Java Unix Shell scripting Working knowledge of Hadoop framework desired Advanced knowledge of data visualization techniques and software tools eg Spotfire SAS R Qlikview Tableau HTML5 D3 Additional Skills Accountability Accountability Action Planning Active Learning Active Listening Agile Methodology Agile Scrum Development Analytical Thinking Bias Coaching Creativity Critical Thinking Cross-Functional Teamwork Data Analysis Management Data Collection Management Inactive Data Controls Design Design Thinking Empathy Follow-Through Group Problem Solving Growth Mindset Intellectual Curiosity Inactive Long Term Planning Managing Ambiguity 5 more What We Can Offer You Health Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical financial and emotional wellbeing Personal Professional Development We also invest in your career because the better you are the better we all are We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves together and are a force for good Let s Stay Connected Follow HPECareers on Instagram to see the latest on people culture and tech at HPE india networkingJob EngineeringJob Level TCP 03 HPE is an Equal Employment Prospect Veterans Disabled LGBT employer We do not discriminate on the basis of race gender or any other protected category and all decisions we make are made on the basis of qualifications merit and business need Our goal is to be one global team that is representative of our customers in an inclusive environment where we can continue to innovate and grow together Please click here Equal Employment Opportunity Hewlett Packard Enterprise is EEO Protected Veteran Individual with Disabilities HPE will comply with all applicable laws related to employer use of arrest and conviction records including laws requiring employers to consider for employment qualified applicants with criminal histories No Fees Notice Recruitment Fraud Disclaimer It has come to HPE s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates These scammers often seek to obtain personal information or money from candidates Please note that Hewlett Packard Enterprise HPE its direct and indirect subsidiaries and affiliated companies and its authorized recruitment agencies vendors will never charge any candidate a registration fee hiring fee or any other fee in connection with its recruitment and hiring process The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification Any candidate individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk and HPE disclaims liability for any damages or claims that may result from any such communication

📌 Data Scientist Iii (Karnataka)
🏢 Hewlett Packard Enterprise | HPE
📍 Karnataka