Data Scientist

Job Description

What You Will Do

• DEA’s charter is to discover, evaluate
• scale solutions that embed intelligent technology into every interaction —delivering proactive and predictive experiences that shorten resolution times and accelerate task completion.
• We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation.
• Our work is fuelled by a passion for self ‑ service , intelligent automation, and building digital experiences that are intuitive, scalable, and human ‑ centric.
• Roles and Responsibilities: Interpret data, analy s e results using statistical techniques and provide advanced measurement dashboards Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Identify, analy s e
• interpret trends or patterns in complex data sets in addition to defining success metrics spanning model quality, user engagement and business outcomes.
• Work with management to prioritize business and information needs & a naly s e and prepare interpretations of data to use to develop conclusions Locate and define new process improvement opportunities via creating of long-term monitoring frameworks to measure feature adoption, performance drift and business impact over time.
• Discover trends and patterns across customer journey using clustering, segmentation and anomaly detection and chain models of user behaviour.
• Extensive experience on machine learning and data mining algorithms like Clustering, Regression (Linear and Non-Linear), Dimensionality Reduction frameworks , Double ML, Model Calibration and fine tuning based on experiments , bias-variance trade-off in ML models, customer lifetime value modeling, survival models through hazard function optimization .
• Exp erience with creating and running surveys based on sampling strategies derived from power analysis, experiments based on creation of test/control groups using propensity score matching and model calibration from the results of the experiment while correcting for responder bias from the survey or experiment reach.
• Work with cross-functional teams to build data solutions that impact business decisions Partner with Data Engineering to design scalable data models and canonical schemas supporting analytics and AI workloads.
• Design Power BI dashboards and advanced data visualizations to effectively communicate findings to both technical and non-technical audiences Conducts and facilitate (and educates and trains on) analysis, issues identification, organizational risk assessment
• decision-making processes.
• Experience working on process improvements and re-engineering via feedback collection through voice of customer surveys , using appropriate techniques for sample size determination and bias corrections.
• Provides consulting and analytic services to leadership.
• Provides support, mentoring and training to junior data scientists.
• What you need to bring: Required Experience/Background: Master’s or PhD degree in business administration, economics, computer science, management information systems
• related field or equivalent related experience Overall 5-7 + years of experience in Data Science, Machine Learning or Applied Research of Measurement frameworks or systems.
• Experience with Generative AI, RAG and Multi-Turn Evaluation , Statistical modelling, Data Mining , Reporting & Analytics and Customer Journey models and frameworks.
• Strong understanding of data models, ETL pipelines, python programming, machine learning models for measuring efficacy of deployed solutions and advanced dashboarding skills for storytelling with data.
• Knowledge of statistics and experience using statistical packages for analy s ing datasets, including significance tests, sampling strategies, power analysis, regression models and exploratory data analysis.
• Experience working with customer support data, conversational AI logs and omnichannel analytics, Higher Order Markov Chain models , Hazard Models are preferred.
• Experience on Snowflake & Databricks platform to create metrics views for business analysis , es tabli shing connect ions to P o wer B I and cre ating b usiness v iews / metri cs tables from d elta lake tables is prefe rred .
• Experience in working with Data Engineering team to define the business views needed for advanced analytics & measurement is preferred.
• Personal Skills: Ability to collaborate cross-functionally in a fast-paced environment and build sound working relationships within all levels of the organization .
• Ability to handle sensitive information with keen attention to detail and accuracy.
• Passion for data handling ethics.
• Ability to solve complex, technical problems with creative solutions while anticipating stakeholder needs and providing assistance to meet or exceed expectations .
• Able to demonstrate perseverance and resilience to overcome obstacles when presented with a complex problem.
• Assist in combining large data sets and data analysis to create optimization strategies .
• Comfortable with ambiguity and uncertainty of change when assessing needs for stakeholders .
• Have effective time management skills which enable you to work successfully across functions in a dynamic and solution-oriented environment while meeting deadlines Self-motivated and innovative
• confident when working independently, but an excellent team player with a growth-oriented personality Will be required to routinely or customarily troubleshoot items related to applications that require independent judgement, decision-making, and unique approaches 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 #networking Job: Engineering Job Level: TCP_03 HPE is an Equal Employment Opportunity/ 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.
• Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities.
• These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money.
• Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies
• its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee
• any other fee in connection with its recruitment and hiring process.
• We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
• All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company.
• Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages.
• If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.