Company Description
When 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 epsilon.com/apac or our LinkedIn page.
Job Description
Job Summary
We are looking for a Sr Data Scientist who is passionate about solving business problems for our clients through the application of data science, with best in class solutions, that also provides us competitive edge. The candidate will have to collaborate/consult with clients and internal teams (Client Support, Product Management) to define, derive, and deploy analytical solutions to solve their business problems. One who is passionate about deriving actionable insight from complex data, can effectively communicate complex problems in simple business terms to stakeholders/clients.
Core Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Develop a use case roadmap for a problem area or capability for the business. Frame the business problem into a Data Science or modelling problem.
- Extract data from multiple sources. Mine and analyze data from company databases to drive optimization and improvement of product.
- Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with Client Support, Product Management and Engineering team to strategize and execute the development of data products.
- Processing, cleansing, and verifying the integrity of data used for analysis. Undertake preprocessing of structured data.
- Data mining using state-of-the-art methods. Selecting features, building and optimizing models using ML/AI techniques.
- Present technical solutions to internal and external stakeholders in a formal setting, effectively communicating key concepts and functionalities
- Effectively manage stakeholders expectations via direct and frequent communication with high quality results
- Develop front end deliverable solutions for stakeholders utilizing BI tools such as Tableau, Cognos, Excel, or similar
- Support internal stakeholders with ad-hoc business problems, charting and reporting
- Work on multiple assignments concurrently, while handling priorities and challenges and meeting timelines basis project plan and roadmap.
- Build self-service tools for error detection, diagnosis, and predictive metrics.
- Build project plans, maintain to-do list, organize work, follow coding ethics, and have an eye for detail
Qualifications
- Bachelor’s or Master’s degree in a quantitative discipline (e.g., data science, statistics, economics, mathematics, computer science) or significant relevant coursework/experience
- 4+ years professional experience in the field of data science or business intelligence
- Demonstrated proficiency in PYTHON/SCALA/SQL and BIG DATA technologies and the proven ability to program in big data/cloud technologies such as AWS & SPARK; minimum 3 years of experience
- Experienced with Machine Learning algorithms such as logistic regression, linear regression, lasso regression, k-means, random forest; minimum 2 years of experience
- Able to produce elaborate documents/narrative suggesting actionable insights and recommendations leveraging BI tools such as Tableau
- Expertise with Microsoft Office products; including Excel, PowerPoint, Word
- Great communication skills. Excellent written and verbal communication skills for coordinating across teams.
- Manage solution development through scrum philosophy, by using JIRA effectively
- Self-driven and results oriented. Willing to stretch to meet tight timelines.
- Strong team player with ability to collaborate effectively across geographies/ time zones
- Good understanding of Digital Marketing in Travel or Retail Industry
Desirable Qualifications:
- Professional experience working with R
- Professional experience working with Power BI, Cognos, Dash, Looker, Domo
- Professional experience in multi-touch attribution, market mix modelling, fraud analytics, customer journey, churn modeling, customer segmentation, hypothesis testing, a/b testing and recommendation engines.
Additional Information
Publicis Groupe Commitment to Diversity & Equity Policy:
Publicis Groupe is deeply committed to diversity and inclusion in spirit and in action at every level of the organization. It reflects our core values and embodies our purpose of building a great company enabling human potential. We have a deep-rooted appreciation for how diversity of thought drives innovation, and we ground that value in a culture of collaboration and connected thinking.
- Diversity & inclusion are business imperatives on which Publicis Groupe will not negotiate. While fostering a work environment that is inclusive of all talent is a collective responsibility, it is leadership’s job to nurture the career aspirations and goals of all our talent. Promoting gender equality starts at the top and the Groupe will not tolerate anyone speaking for our organization who does not value the importance of inclusion. Publicis Groupe works very hard to champion diversity and will continue to insist that each agency’s leadership be champions of both diversity and inclusion.
- Our Core values “ VIVA LA DIFFERENC’E is based on the very aspect of celebrating differences
- Our strategy focuses on bringing together teams with diverse perspectives, disciplines, and experiences, because diversity of thought best serves our clients and their customers who they aspire to impact
Equal Employment Commitment:
- We provide equal opportunities to all our employees and to all eligible applicants for employment in our company. We do not unfairly discriminate on any ground, including race, caste, religion, color, ancestry, marital status, gender, sexual orientation, age, nationality, ethnic origin, disability or any other category protected by applicable law.
- When recruiting, developing and promoting our employees, our decisions will be based solely on performance, merit, competence and potential.
- We shall have fair, transparent and clear employee policies which promote diversity and equality, in accordance with applicable law and other provisions of this Code. These policies shall provide for clear terms of employment, training, development and performance management.