Principal Statistician

Epsilon

Bangalore, Karnataka
Permanent
Full-time

19 days ago
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Company DescriptionWhen you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit or our page.Job DescriptionWhy we are looking for youPrincipal Data Analyst is accountable for accurate, on-time delivery of multiple and concurrent statistical deliverables, builds and presents statistically sound models and profiles using current, standard programs and statistically sound techniques, translates clients’ needs into project plans and develops strong working relationships with key people in other departments.What you will enjoy in this roleHandle all aspects of data modeling processing – includes, but is not limited to the following:What you will doAccuracy

Accountable for accurate, on-time delivery of all statistical deliverables
Ability to conduct small, medium scale projects and research through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report
Independently build and present internally statistically sound models using current, standard programs
Apply industry techniques/ideas/trends to current systems
Consult/explain complex statistical ideas to internal clients
Translate clients’ needs into project plans
Able to answer questions about data sets and analyses
Able to become familiar and comply with the group’s policies and procedures for programming, project documentation, and system management
Able to master the desktop and UNIX tool set (SAS, Python, SAS ODS, Excel, PowerPoint, Word) to create content for evaluating statistical analyses such as tables, reports, graphs, etc.
Able to become proficient with the different types of quantitative modeling offerings provided by the Analytical group
Work with internal departments to troubleshoot a variety of problems.
Effectively explain results of troubleshooting
Lead statistical training on standard models to other departments.
Employ sound statistical techniques
Able to manage to project deadlines
Lead Medium - to High-level complex projects
Consult with other departments on ways to improve systems
Develop strong working relationships with key people in other departments
May provide statistical training to stats department
Ability to write new SAS code, Python code improve current code, and understand all code being used

On Time Delivery

Keep Onshore updated on the status of all Models in progress
Monitor and document progress of job through Jira system
Responsible for managing own workload to ensure on time delivery; may require securing help from others at times
Work with Account Specialist and Sales to troubleshoot stalled jobs due to incorrect or missing information in a timely manner
Deals with ambiguity while maintaining composure and problems solving under tight deadlines
Ensure successful completion and publishing of all Model requests

Effective Teams

Builds rapport within team and across department
Provides timely information to internal customers providing necessary information to make accurate and quality decisions
Before leaving on PTO, arrangements are to be made within team for backup to complete all outstanding jobs; and communication made to AS regarding handoff
Assist teammates as needed to ensure the department meets its obligation to internal and external customers

Interfaces / Metrics (if applicable):

Interfaces include but are not limited to:
SAS EG
UNIX
Python
Model Performance
Stats
Client Services
Data Acquisition & Data Performance
T&D
Meet or exceed expectations in support of department objectives including:
Accuracy – Model results
On Time Delivery
Service Level Agreements are met, and workload is balanced across team
Interpersonal Core Competencies - Effective Teams
Accountability, Communication and Teamwork
Protects Business Integrity
Adheres to business best practices, demonstrates integrity, and looks for new opportunities for improving quality
Training – Knowledge and Skill Development

Qualifications

Master’s or bachelor’s degree in quantitative discipline (Statistics, Economics, Agriculture science (if studied Economics or statistics as one of subjects) ).
10+ years of total relevant experience as Data Analyst.
5+ years of advanced experience in SAS (Base, Macros, ODS, Access), SQL, or Python/ Pyspark
Fundamental knowledge of marketing channels (Email, Direct Mail, Display Ads, social media)
Foundational understanding of marketing analytics using machine learning techniques (Segmentation, A/B Testing, Predictive Modeling)
Good experience in visual representation of data, presentation, and storytelling skills.
Excellent communication skills and able to build good working relationship with clients
Flexibility to work in a virtual environment with stakeholders in US time zones
Exhibit technical acumen and possess good learning mindset.
Highly motivated and collaborative team player with good interpersonal skills

Epsilon